Autonomous Vehicles

Smart car technology is on the fast track. According to a forecast by the Consumer Technology Association, revenue for North American technology will reach $398 billion in 2019, with sales of emerging technologies related to automotive electronics alone expected to hit $17 billion, a 9 percent increase over 2018. Growth of automotive electronics in the semiconductor application market is on pace to exceed 10 percent for the first time, with a 11.9 percent annual compound growth rate from 2017 to 2022, said Peng Maorong, research manager of ITRI Industrial International. Today, automotive electronics trails only personal computers and mobile devices in driving semiconductor market revenue. For its part, Automotive World 2019, the world's largest exhibition for advanced automotive technologies, has drawn even more attention in recent years. The event consists of six exhibitions, including automotive electronics technology, auto parts, drive systems, lightweight materials, autopilot technology and car networking, and featured demonstrations of compelling technologies including an AI deep learning module (Xilinx) and high-speed car intranet technology (Israeli manufacturer Valens). Toyota is also on the cutting edge of automotive electronics with the rapid maturity of its semiconductors, AI technology and materials, and complete network technology. The carmaker is no longer just a pure-play automotive manufacturer. Instead, the automotive giant is positioning itself as a car service provider (mobility service provider) and plans to team with ride-sharing providers such as UBER and Didi and other automotive technology providers in the future.Taiwan, with its strong semiconductor industry chain and a complete ecosystem of information communication, will be a key force in the automotive market as the region looks to cross-industry and cross-border cooperation to help power the market. To help the automotive electronics industry seize the market promise of smart cars, SEMI established the Global Automotive Electronics Advisory Committee (GAAC), with members including Audi, Bosch, Denso, Ford, Honda, Nissan, Volkswagen, Amkor, Infineon, NXP, Synopsys and Wanghong. More than 30 international companies, spanning Europe, the United States, Japan and other regions are represented on the committee. The committee met for the first time this month in Taiwan to help leverage the prowess of Taiwan's microelectronics supply chain in advancing international automotive electronics, better link Taiwan to international trends, and give Taiwan a bigger voice in the emerging smart car market, and create more opportunities for resource integration across borders. To learn more about GAAC, contact Helen Chen Chen Huiyu | Email: [email protected] | Phone: (03) 560-1777 #112.Extended reading: smart car Baihua Qi will be the next wave of killer applications (on)Emmy Yi is a marketing specialist at SEMI Taiwan.

The more than 53,000 people who flocked to SEMICON Korea last month were treated to a motherlode of insight into the future of the semiconductor industry as 470 companies exhibited innovative technologies in more than 2,000 booths. But the annual event’s most arresting numbers came in keynotes and other presentations pointing to the extraordinary industry growth that lies ahead.“It is no exaggeration to say that 90 percent of the world’s data has been generated in the last few years,” said Jim Feldhan, president of Semico Research. “This explosive growth of data is expected to continue. That's why server shipments will grow by 20.3 percent, or 30 million units, this year alone.”Feldhan said that the Internet of Things (IoT) will be a chief driver of semiconductor industry growth, with IoT expected to be applied in areas as varied as automotive, smart cities, edge computers, finance, architecture, agriculture and healthcare. For its part, artificial intelligence (AI) will start to exercise human-like judgment. Feldhan noted that in many instances in these fields, “it is more accurate to apply AI and vision systems than to rely on traditional decision-making.”Yoon Jong Lee, senior vice president of DB HiTek, predicted that the Internet, AI and 5G will drive market growth. “Looking back over the past 30 years, semiconductor market growth was powered by PCs, the Internet and cell phones, yet last year memory accounted for 35 percent of total semiconductor sales, more than double the figure in 2016,” he said. He predicted that, in 2019, the foundry sector will outstrip the semiconductor market in growth, noting that the average growth rate of the semiconductor industry is expected to be 4.1 percent, compared to 7.1 percent for the foundry market. Clark Tseng, director of SEMI, reported that the strong semiconductor growth in 2018 is unlikely to continue in 2019 due to the decline in memory pricing, as well as mobile and PC demand. “Demand for semiconductors is likely to decline in the first half as the industry is still digesting inventory and rebound in the second,” Tseng said. Semiconductor industry growth headwinds include decreases in high-end smartphone purchases, PC demand and demand for DRAMs for servers in data centers, Tseng said. Declines in economic growth and consumption in China and the U.S.-China trade war will also contribute to a slowdown. However, Tseng noted that, over the long term, technology innovation will continue and that the semiconductor industry’s prospects remain bright.One key innovation will be the elimination of AI’s reliance on Internet connections in the future. In his opening day keynote, Eunsoo Shim, senior vice president at Samsung Electronics, emphasized that AI technology that operates without the Internet in the future is essential. “We are developing 'on-device AI' technology that incorporates AI algorithms in products such as smartphones and autonomous vehicles,” he said. "When on-device AI technology is implemented, it reduces reliance on the Internet, battery consumption, and data latency.” Reducing latency will significantly improve device response time.Walden C. Rhines, CEO Emeritus of Mentor, a Siemens business, predicted that AI will fuel rapid memory growth. The memory semiconductor (DRAM, NAND flash) market is expected to see a temporary slowdown this year, with the market expected to rebound in 2020. Rhines said that memory could be seen as an early market with rapid future growth, citing memory market super-booms in 1995 and 2000.“Memory production has not decreased since 1995 or 2000,” he said. “Although memory prices will temporarily fall this year after significant market growth in 2017 to 2018, the market will continue to grow as memory production increases,” he said. Rhines added that “although memory prices will drop by about 10 percent this year, he believes prices will increase 6 percent next year.” He also predicted the steady growth of the non-memory semiconductor market as AI technology matures and China’s investment in fabless companies continues.Indeed, SEMICON Korea speakers made it clear that concerns about the growth of the semiconductor industry are expected to be short-lived. While overall growth is likely to slow in 2019, the industry is expected to rebound steadily – powered by the semiconductor industry paradigm shift led by AI, IOT, and autonomous driving – and reach a new high of nearly $541 billion in 2020.Jaegwan Shim is a marketing specialist at SEMI Korea.

As group vice president of the Analog MEMS Group and general manager of the MEMS Sensor division at STMicroelectronics, Andrea Onetti brings nearly three decades of experience in MEMS, sensors and audio systems to his leadership role at one of the world’s most successful electronics and semiconductor manufacturers. During his keynote at FLEX and MEMS Sensors Technical Congress 2019, February 18-21 in Monterey, Calif., Onetti will address the criticality of sensor accuracy in advancing automotive, industrial and consumer applications. SEMI’s Maria Vetrano spoke with Onetti recently to give FLEX/MSTC attendees a preview of his presentation. SEMI: What are some promising advancements in sensors for autonomous cars? Onetti: The avionics industry is already successfully applying sensors for autonomous operationl. Inertial navigation systems (INS) support the operation of planes during flight, both after takeoff and before landing. Unfortunately, the technology in these navigation systems is expensive and not scalable, and they are hampered by reliability limitations in an automotive environment.Following the steady progress that we have made with MEMS inertial sensors in consumer applications, we are on the cusp of realizing greater accuracy in temperature and time – finally delivering the performance required for autonomous driving. Because we can scale in production – we’re now manufacturing more than a billion units a year – we can select the cream of this production crop for adoption in cars. Consequently, we should see Level 3 and Level 4 autonomous driving for consumers very soon.SEMI: How are companies using sensors to monitor and track their assets in industrial applications? Onetti: Predictive maintenance and asset tracking are the two main verticals in Smart Industry. The adoption of multiple sensors for condition monitoring is helping to detect the faulty operation of equipment and to detect early signs of issues that are otherwise difficult to capture. Ultrasonic microphones can detect leaks in a pipe at an early stage, accelerometers with high bandwidth can act as micrometers, and accurate temperature sensors can catch overheating. Similarly, in asset tracking, we use temperature monitoring in combination with inertial sensors to detect problems during the transport of goods. Shock sensors with extremely high full scale (up to 8000g) can tell whether a lightweight envelop has been dropped. Pressure sensors can switch off a radio system when a cargo plane takes off and can mute smart trackers in compliance with flight regulations. We really can do almost anything! A full slate of ST sensors and microcontroller units (MCUs) enable WEG’s small but powerful motor sensor, which listens to a motor, feels its pain, and shares that information with engineers, operators and others to diagnose problems before they happen. Image courtesy of STMicroelectronics. High-accuracy motion, environmental and proximity sensors are crucial to VR/AR. Image courtesy of STMicroelectronics. SEMI: How will sensors advance user experiences in consumer electronics, such as VR/AR systems?Onetti: Virtual reality (VR) and augmented reality (AR) are great examples of promising consumer technologies that will become pervasive as performance of inertial sensors improves. First, we need super accuracy in time and temperature to provide the right experience to users. To achieve this level of accuracy, we need a major step forward in performance, and that includes power consumption and miniaturization. Fortunately, we are constantly making progress in the high-accuracy motion, environmental and proximity sensors that are critical to these systems. While the scale is vastly different between VR/AR and automotive, the requirements for AR/VR systems are pretty similar to those that will enable autonomous cars. A growing variety of sensors (environmental, microphone, proximity, motion) – combined with a sensor hub in an MCU – are central to VR controllers (above) and VR head mounted displays (below). Images courtesy of STMicroelectronics. SEMI: We don’t hear much about the criticality of higher accuracy in sensors. Why is improving accuracy in sensors especially important – and what role do calibration routines play in achieving higher accuracy?Onetti: A sensor is more than just the performance of the relevant function. It is also the intrinsic accuracy that it brings. This accuracy is tuned by calibration, which is typically an expensive process done at the end of product manufacturing or – better still – during earlier stages of manufacturing.Today more applications require sensors with higher accuracy, which necessitates investing more time in calibration, leading to higher cost.MEMS technology can help by offering solutions with intrinsic higher accuracy, which reduces the cost of calibration for product manufacturers. This naturally delivers major benefits to OEMs and, ultimately, their customers.SEMI: What would you like FLEX and MSTC attendees to take away from your presentation?Onetti: As attendees explore the wide variety of available sensor solutions for their end products, I would ask them to prioritize the role of accuracy in sensor selection – because improved accuracy means higher quality data, and higher quality data means better decisions with reduced need for data processing.While designers understand the role of calibration routines in qualifying individual components for specific applications, it is the continuous evolution of MEMS technology that offers the best possibility of breakthrough reductions in time and cost of these calibration routines. This makes MEMS sensors more attractive and affordable than similar sensor components based on different technologies. Andrea Onetti will present Accuracy Enables MEMS Sensor Pervasion at FLEX/MSTC on Tuesday, February 19 at 11:00 am.Register today to connect with him at the event. To learn more about STMicroelectronics, click here. Maria Vetrano is a public relations consultant at SEMI.MSTC FLEX 2019 is organized by MEMS Sensors Industry Group (MSIG) and FlexTech.Maria Vetrano is a public relations consultant at SEMI.

Automobiles have become an even more important segment for MEMS and sensors as carmakers integrate more chips for propulsion, navigation, and control into their designs. However, these advanced functions and their crisp rate of adoption have fragmented the sourcing of automotive chips. IHS Markit’s Jérémie Bouchaud provided a closer look at and outlook for this key market at the MEMS and Sensors Executive Congress in late October in Napa. Following are key takeaways from his presentation.Autonomous and Electric/Hybrid Vehicles to Drive MEMS Market GrowthThe automotive market, approaching 100 million vehicles produced annually, is approaching $6 billion, dominated by MEMS and silicon magnetic sensors for chassis and safety, and powertrain applications. Going forward, the market growth will be in autonomous vehicles and electric/hybrid vehicles. Because the penetration of electric and hybrid vehicles is much higher than that of autonomous vehicles, it has a larger available market, particularly for sensors. Each of these markets has its own dynamics.For example, the electric and hybrid market has historically relied on a significant number of traditional, or non-semiconductor sensors, but new sensor technologies are vying to address multiple sensing needs. The most important limitation on demand of autonomous vehicles is the overall market penetration: IHS Markit expects autonomous vehicle production to reach 10 million at most by 2030.Production of Electric and Hybrid Automobiles Now Growing at Fast ClipProduction of electric and hybrid vehicles is in a rapid growth phase, and IHS Markit expects penetration of such vehicles to reach 50% of the automotive market by 2030, up from 3% in 2016. The core functions of charging and power inversion require, among other capabilities, current, temperature and position sensing. Historically, many of these functions have been handled by non-semiconductor devices, for example negative temperature coefficient (NTC) thermistors for temperature sensing, devices that appear to be strongly positioned. In other areas, semiconductor sensors are competing with traditional devices.For example, silicon magnetoresistive devices are going head-to-head with inductive devices for position and Hall effect sensing. Sensing requirements are also likely to evolve over time, particularly as battery systems become more reliable and robust. While some automakers are looking to sensors to monitor pressure or gas leaks from batteries, battery makers are more focused on maturing the systems and reducing the need for monitoring.Autonomous Vehicles Drive New Source of Demand for MEMS and SensorsThe movement towards automated driving has created a new source of demand for MEMS and sensors, with advanced driver assistance systems driving faster growth than the historical powertrain applications. Currently available vehicles are at Level 2 (partial automation), with multiple cameras and radars. Level 3 vehicles (conditional automation) are likely to enter the market next year, adding driver monitoring cameras, LIDAR systems and, potentially, microbolometers or other night-vision systems. Level 4 and 5 (high and full automation, respectively) will add vehicle-to-vehicle communications and other systems, but are not likely to be widely available for several years.The autonomous vehicle market, while smaller overall compared to electric/hybrid vehicles, provides a more attractive opportunity for MEMS devices, particularly in LIDAR systems. LIDAR and other sensing/surveying systems are at the heart of autonomous vehicles, and MEMS devices are in demand for the critical beam-steering function. However, demand for image and other sensors will accelerate as the higher levels of autonomy are rolled out.Automotive Drives Extremely Diverse Set of Applications for MEMS and Sensor MakersThe automotive market presents an extremely diverse set of applications for MEMS and sensor makers. Some companies have developed broad product portfolios and compete in multiple applications. For example, TDK offers NTC thermistors as well as MEMS and silicon-based sensors. Semiconductor companies such as Infineon are competing in MEMS and with silicon-based sensors such as magnetoresitive and Hall effect.The growth in demand for image and radar sensors used in ADAS, as well as magnetoresistive and Hall sensors in EVs, means that the center of gravity in automotive markets is likely to shift from MEMS over the next several years – a fundamental change, Bouchaud cautioned, that will put automotive sensor suppliers focusing solely on MEMS at risk.Paul Semenza is a consultant in SEMI Industry Research and Statistics.

Nicolas Sauvage, senior director of Ecosystem at TDK InvenSense, will present at the fast-approaching MEMS Sensors Executive Congress on October 29-30, 2018 in Napa, Calif. SEMI’s Nishita Rao spoke with Sauvage to offer MSEC attendees advance insights on Sauvage’s feature presentation.SEMI: What is “autonomy value” and why is it important?Sauvage: How do you increase the perceived value of an electronic device? If it’s an autonomous car, its value is closely tied to the autonomy level — i.e., the independence — that it offers people. Higher autonomy value for a self-driving car, for example, means that even a blind person could use it. It’s been almost two years since Waymo demonstrated this, and here’s the video that shows it.Countless other sensor-based electronic products have their own “autonomy value.” Imagine the need to get medicine to people during a humanitarian health crisis. Drones could be your best option because they can deliver to inaccessible or remote locations. Unlike older drones, which require active piloting by a person, a drone with higher autonomy value could deliver medicine to Doctors Without Borders without ongoing human intervention.This drone could navigate objects, such as trees and birds, and would have excellent location-awareness. It could fly through any landscape in bright sunlight or during the night. To increase the drone’s autonomy value, you would need better sensors, including those sensors that can enable sensing in sunny conditions or in pitch-black night, as well as better machine learning.SEMI: In this example, what types of sensors would the drone manufacturer need?Sauvage: The manufacturer would need a “surrounding-sensing” solution that includes ultrasonic and pressure sensors as well as image sensors. Start with high-quality image sensors combined with ultrasonic range-finding sensors — high-accuracy devices that function in all lighting conditions and can detect objects of any color. Add motion sensors and a pressure sensor, which would capture the height of the drone to make known the drone’s location in space. The drone would need this combination of sensors, plus smart sensor fusion, because GPS alone cannot avoid obstacles: its signal can be sporadic in certain parts of the world or in certain terrain, making it unreliable.A key attribute of all these sensors would be low power consumption since the drone would run on battery.SEMI: To what extent might autonomy value cause manufacturers to consider multi-vendor solutions?Sauvage: I would like to see it inspire the MEMS and sensors ecosystem to work together, to arrive at multi-vendor solutions that will benefit humanity through greater autonomy value. Whether we’re looking at autonomous cars, drones, robotics or other applications, there are cases where we need to prioritize safety and security over industry competition. SEMI: Where are we today in terms of achieving true autonomy value – and where are we going?Sauvage: The sky is the limit, literally. Machine learning and surrounding-sensing solutions applied to cars, drones and robots will increase autonomy value to the point where we can justifiably call it artificial intelligence.SEMI: What would you like MEMS Sensors Executive Congress attendees to take away from your presentation?Sauvage: I hope that attendees will recognize the value of ecosystem solutions in increasing autonomy value. Together we can expand the variety of sensor types that address novel use-cases and jobs-to-be-done. Instead of waiting for customers to ask for ecosystem-level solutions, we need to articulate a complete MEMS and sensors supply-chain ecosystem if we want the Internet of Things (IoT) and Industrial IoT (IIoT) to grow more quickly. As senior director of Ecosystem, Nicholas Sauvage is responsible for all strategic relationships, including Google and Qualcomm, and other HW/SW/System companies. He is also responsible for strategic and market-driven goal-setting of our SensorStudio developer program, and driving select partnerships with SoC sensor hub platforms. Prior to joining InvenSense, Nicolas was part of NXP Software management team, responsible for worldwide sales, as well as for P L and product management of their OEM Business Line. Nicolas is an alumnus of Institut supérieur d’électronique et du numérique, London Business School and INSEAD. Register today to connect with Nicolas Sauvage at the event. You can also connect with him on LinkedIn.Nishita Rao is a marketing manager at SEMI.

Sensors are inextricably linked to the future requirements of partially and fully autonomous vehicles. From highly granular dead-reckoning subsystems that rely on industrial-strength gyroscopes for superior navigation to more intelligent and personalized cockpits featuring intuitive human machine interfaces (HMIs) and smart seats, new generations of partially and fully autonomous cars will use sensors to enable dramatically better customer experiences.Dead reckoning, or, where am I, exactly? Dead reckoning is the process of calculating one’s current position by using a previously determined position, and advancing that position based upon known speeds over a time slice. As a highly useful process, dead reckoning is the basis for inertial navigation systems in aerospace navigation and missile guidance, not to mention your smartphone.Today’s best-in-class MEMS gyroscopes can offer 30-50 cm resolution (this is the yaw rate drift) over a distance of 200 meters — a typical tunnel length where a GPS signal is lost. For semi-autonomous (L3) or autonomous (L4, L5), the locational accuracy is well below 10 centimeters; that’s an accuracy usually reserved for high-end industrial or aerospace gyroscopes with a raw bias instability ranging from 1°/h and down to 0.01°/h. These heavy-duty gyros command prices from $100s up to $1000s. Current performance levels of different gyroscopes by application and performance measure in terms of bias drift (IHS Markit). This poses an interesting potential opportunity for both industrial-performance MEMS-based gyroscope sensor-makers, such as Silicon Sensing Systems, Analog Devices, Murata, Epson Toyocom and TDK InvenSense, and for broader-based sensor component-makers such as Bosch, Panasonic, STMicroelectronics, and TDK (InvenSense and Tronics).While MEMS can master performance, size and low weight, cost remains the challenge. The fail-operational mode requirement for autonomous driving will accommodate higher prices, at least in the beginning, probably in the $100+ range at first, even for the relatively low volumes of self-driving cars anticipated by 2030. Nonetheless, automotive volumes are very attractive compared to industrial applications and offer a lucrative future market for dead-reckoning sensors.Your cockpit will get smarter Automakers are banking on the idea that people like to control their own physical environment. Interiors already feature force and pressure sensors that provide more personalized seating experiences and advanced two-stage airbags for improved safety. In some vehicles, automakers are using pairs of MEMS microphones for noise reduction and image or MEMS infrared sensors for detection of driver presence. Eventually, we might see gas sensors that monitor in-cabin CO2 levels, triggering a warning when they detect dangerous levels that could cause drowsiness. These smart sensors would then “tell” the driver to open the window or activate an air-scrubbing system in a more complex solution. While today’s CO2 sensors are still relatively expensive, we may see them designed-in as lower-cost versions come to market.Future cockpits will need to go beyond such concepts in the lead-up to fully automated driving. Seats could contain sensitive acceleration sensors that measure heart and respiration rates as well as body movement and activity. Other devices could monitor body humidity and temperature.We need look no further than Murata, a supplier initially targeting hospital beds with a MEMS accelerometer as a replacement for pulse oximeters. That same Murata accelerometer could be placed potentially in a car seat to detect heart rate. It’s not the only way to do this: another sensing approach for heart-rate measurement comprises millimeter wave radiation, a method that can even look through objects such as books and magazines.Augmenting sensor-based body monitoring, automotive designers will use cameras to fuse information such as gaze direction, rate of blinking and eye closure, head tilt, and seat data with data gathered by sensors to provide valuable information on the driver’s physical condition, awareness and even mood. Faurecia’s Active Wellness concept—unveiled at the 2016 Paris Motor Show—proves that this technology might be coming sooner than we think. Active Wellness collects and analyzes biological data and stores the driver’s behavior and preferences. This prototype provides data to predict driver comfort based on physical condition, time of day, and traveling conditions, as well as car operating modes: L3, L4 or L5. Other features such as event-triggered massage, seat ventilation and even changes in ambient lighting or audio environment are possible. Faurecia’s “cockpit of the future,” announced at CES 2018. (Faurecia) Meanwhile, there are other commercial expressions of more advanced HMI as well as plenty of prototypes. Visteon’s Horizon cockpit can use voice activation and hand gestures to open and adjust HVAC. Capacitive sensors are already widely used for touch applications, and touchless possibilities range from simple infrared diodes for proximity measurement to sophisticated 3D time-of-flight measurements for gesture control.Clearly, automotive designers will have a lot more freedom with HMI in the cabin space, providing a level of differentiation that manufacturers think customers will appreciate—and for which they will pay a premium.Managing sensor proliferationResearchers are investigating ways to solve the issue of high-functionality vehicles containing myriad sensing inputs, i.e., when we have so many sensing inputs, designers must address wiring complexity and unwanted harness weight. Faurecia, for example, is considering ways to convert wood, aluminum, fabric or plastic into smart surfaces that can be functionalized via touch-sensitive capacitive switches integrated into the surface. These smart surfaces could reduce the explosion of sensing inputs, thereby diminishing wiring complexity. With availability from 2020, Faurecia’s solutions are approaching the market soon.Beyond functionalized switches, flexible electronics and wireless power sources, and even energy harvesting (to mitigate power sources), could provide some answers. Indeed, recent research has shown that graphene-based Hall-effect devices can be embedded in large-area flexible Kapton films, and eventually integrated into panels. OEMs such as Jaguar Land Rover are interested in such approaches to address the downsides of electronics and sensor proliferation, especially in luxury vehicles. While smart surfaces would represent a big change in sensor packaging and a disruption in current semiconductor processes, they remain a long way from commercial introduction.By 2030 or thereabouts, fully autonomous cars that detect our mood, vital signs and activity level could well be available. Cabins could signal us to open the window if CO2 levels become dangerous. HVAC systems could increase seat ventilation or turn up the air conditioning (or the heat) based on our body temperature. Feeling too hot or too cold in the cabin could become a thing of the past, at least for the driver, whose comfort level is the most important! We could feasibly feel more comfortable in the car than in our office, our home or at the movies. Perhaps our car will become our office, our entertainment center and our home away from home as we take long road trips with the family, without a single passenger uttering, “Are we there yet?” Bio: Richard Dixon, Ph.D., is a senior principal analyst for MEMS research at IHS Markit and author of more than 50 MEMS-related consulting and market research studies. He is a renowned expert on automotive MEMS and magnetic sensors used in safety, powertrain and body applications. Along with supporting the overall activities of the MEMS and sensors group, his responsibilities include the development of databases that forecast the markets for more than 20 types of silicon-based sensors in more than 100 automotive applications. In addition, he has supported organizations with future scenarios for sensors in cars and has supported many custom projects for companies in the automotive supply chain.In his prior post at Wicht Technologie Consulting (WTC), Dixon was a senior MEMS analyst where he led research on physical sensors and was the co-author of the NEXUS Task Force Report for MEMS and Microsystems 2005-2009. He has also led commercialization and road-mapping activities on European Commission-funded technology projects, including detailed MEMS chip cost analysis studies.Dixon worked previously as a journalist in the compound semiconductor industry and has five years of experience as a technology transfer professional at RTI International, where he provided business and market intelligence for early-stage technologies.Dixon graduated from University of Greenwich with a degree in materials science and earned a doctorate from Surrey University in semiconductor characterization. He speaks English and German.For more information, visit https://technology.ihs.com/Categories/450486/mems-sensors. ___________________________________________________________________________________________________ Want to hear more from IHS Markit on MEMS and sensors devices and their applications? Top thinkers from IHS Markit will be speaking at upcoming SEMI events. Register today!Disruption in the authentication sensor market Manuel Tagliavini, Principal Analyst, MEMS Sensors, IHS Markit Autonomous and Electric Cars: What's in for Conventional MEMS SensorsJeremie Bouchaud, Director and Senior Principal, MEMS Sensors, IHS Markit

Are you ready for a shared economy where your transportation needs are no longer met by an automaker, but rather a “mobility service provider”? While smart transportation news has mostly focused on the likes of electrification (Tesla) and autonomy (Waymo), the real changes in transportation may be more fundamental than self-driving electric cars. According to presenters at this week’s Smart Automotive Summit at SEMICON Taiwan, new technologies won’t just make cars smarter: they will transform the way we see and use transportation in myriad ways.Constance Chen, public relations general manager for forum sponsor Mercedes Benz, opened with a brief overview of parent Daimler’s evolving approach to transportation, dubbed CASE, which stands for Connected, Autonomous, Shared and Services, and Electric.“The fundamental value of vehicles is changing,” Chen said, and car ownership is one of the biggest changes. Ride-sharing services like Uber and Lyft, and shared car services like ZipCar and DriveNow, are already addressing the transportation needs of a growing urban population that eschews car ownership. Traffic congestion, parking challenges, and a desire to improve air quality are key drivers (no pun intended) moving people away from car ownership to embrace shared transportation solutions.Indeed, societal considerations are as challenging as some technological hurdles facing autonomous vehicle development. Robert Brown, Taiwan operations manager for Magma Electronics, listed his top five challenges for autonomous transportation: Perception (vision, sensors) Assessment (ability of systems to analyze data) Control (need for faster-than-human response) Communication (vehicle-to-vehicle, vehicle-to-everything) Expectations—specifically people’s expectations of the value autonomous transportation should deliver As people change the way they view transportation and begin to understand what is possible when they can relinquish control of their vehicle, they’re transportation needs and expectations are likely to change. The challenges are, of course, also an opportunity to deliver a wide range of services, including information, entertainment, and retail, which opens the door for traditional carmakers to position themselves more as service providers like Mercedes Benz.For those who have grown up with traditional car ownership and the perceived freedom that owning allows one to go anywhere at anytime, the idea of giving up their car—one that they drive themselves—might seem beyond the pale. But as ride-sharing services are already showing, a growing portion of our population seems more than ready to embrace a shared and autonomous future.The SEMICON Taiwan Smart Automotive Summit is part of SEMI’s Smart Transportation initiative focusing on automotive electronics, a top priority for SEMI and its 2,000+ members. SEMI’s industry standards, technology communities, roadmap efforts, EH S/regulatory activities and other global platforms and communities bring together the automotive and semiconductor supply chains to collaborate, increase cross-industry efficiencies and shorten the time to better business results.Michael Droeger is director of marketing at SEMI.

2017 was a good year for the MEMS and sensors business, and that upward trend should continue. We forecast extended strong growth for the sensors and actuators market, reaching more than $100 billion in 2023 for a total of 185 billion units. Optical sensors, especially CMOS image sensors, will have the lion’s share with almost 40 percent of market value. MEMS will also play an important role in that growth: During 2018–2023, the MEMS market will experience 17.5 percent growth in value and 26.7 percent growth in units, with the consumer market accounting for more than 50 percent(1) share overall. Evolution of SensorsSensors were first developed and used for physical sensing: shock, pressure, then acceleration and rotation. Greater investment in R D spurred MEMS’ expansion from physical sensing to light management (e.g., micromirrors) and then to uncooled infrared sensing (e.g., microbolometers). From sensing light to sensing sound, MEMS microphones formed the next wave of MEMS development. MEMS and sensors are entering a new and exciting phase of evolution as they transcend human perception, progressing toward ultrasonic, infrared and hyperspectral sensing.Sensors can help us to compensate when our physical or emotional sensing is limited in some way. Higher-performance MEMS microphones are already helping the hearing-impaired. Researchers at Arizona State University are among those developing cochlear implants — featuring piezoelectric MEMS sensors — which may one day restore hearing to those with significant hearing loss. The visually impaired may take heart in knowing that researchers at Stanford University are collaborating on silicon retinal implants. Pixium Vision began clinical trials in humans in 2017 with its silicon retinal implants.It’s not science fiction to think that we will use future generations of sensors for emotion/empathy sensing. Augmenting our reality, such sensing could have many uses, perhaps even aiding the ability of people on the autism spectrum to more easily interpret the emotions of others.Through my years in the MEMS industry, I have identified three distinct eras in MEMS’ evolution: The “detection era” in the very first years, when we used simple sensors to detect a shock. The “measuring era” when sensors could not only sense and detect but also measure (e.g., a rotation). The “global-perception awareness era” when we increasingly use sensors to map the environment. We conduct 3D imaging with Lidar for autonomous vehicles. We monitor air quality using environmental sensors. We recognize gestures using accelerometers and/or ultrasonics. We implement biometry with fingerprint and facial recognition sensors. This is possible thanks to sensor fusion of multiple parameters, together with artificial intelligence. Numerous technological breakthroughs are responsible for this steady stream of advancements: new sensor design, new processes and materials, new integration approaches, new packaging, sensor fusion, and new detection principles.Global Awareness SensingThe era of global awareness sensing is upon us. We can either view global awareness as an extension of human sensing capabilities (e.g., adding infrared imaging to visible) or as beyond-human sensing capabilities (e.g., machines with superior environmental perception, such as Lidar in a robotic vehicle). Think about Professor X in Marvel’s universe, and you can imagine how human perception could evolve in the future! Some companies envisioned global awareness from the start. Movea (now part of TDK InvenSense), for example, began their development with inertial MEMS. Others implemented global awareness by combining optical sensors such as Lidar and night-vision sensors for robotic cars. A third contingent grouped environmental sensors (gas, particle, pressure, temperature) to check air quality. The newest entrant in this group, the particle sensor, could play an especially important role in air-quality sensing, particularly in wearable devices.Driven by increasing societal concern over mounting evidence of global air-quality deterioration, air pollution has become a major topic in our society. Studies show that there is no safe level of particulates. Instead, for every increase in concentration of PM10 or PM2.5 inhalable particles in the air, the lung cancer rate is rising proportionately. Combining a particle sensor with a mapping application in a wearable could allow us to identify the locations of the most polluted urban zones.The Need for Artificial Intelligence To realize global awareness, we also need artificial intelligence (AI), but first, we have challenges to solve. Activity tracking, for example, requires accurate live classification of AI data. Relegating all AI processing to a main processor, however, would consume significant CPU resources, reducing available processing power. Likewise, storing all AI data on the device would push up storage costs. To marry AI with MEMS, we must do the following: Decouple feature processing from the execution of the classification engine to a more powerful external processor. Reduce storage and processing demands by deploying only the features required for accurate activity recognition. Install low-power MEMS sensors that can incorporate data from multiple sensors (sensor fusion) and enable pre-processing for always-on execution. Retrain the model with system-supported data that can accurately identify the user’s activities. There are two ways to add AI and software in mobile and automotive applications. The first is a centralized approach, where sensor data is processed in the auxiliary power unit (APU) that contains the software. The second is a decentralized approach, where the sensor chip is localized in the same package, close to the software and the AI (in the DSP for a CMOS image sensor, for example). Whatever the approach, MEMS and sensors manufacturers need to understand AI, although they are unlikely to gain much value at the sensor-chip level.Heading to an Augmented WorldWe have achieved massive progress in sensor development over the years and are now reaching the point when sensors can mimic or augment most of our perception: vision, hearing, touch, smell and even emotion/empathy as well as some aesthetic senses. We should realize that humans are not the only ones to benefit from these developments. Enhanced perception will also allow robots to help us in our daily lives (through smart transportation, better medical care, contextually aware environments and more). We need to couple smart sensors’ development with AI to further enhance our experiences with the people, places and things in our lives.About the authorWith almost 20 years’ experience in MEMS, sensors and photonics applications, markets, and technology analyses, Dr. Eric Mounier provides in-depth industry insight into current and future trends. As a Principal Analyst, Technology Markets, MEMS Photonics, in the Photonics, Sensing Display Division, he contributes daily to the development of MEMS and photonics activities at Yole Développement (Yole). He is involved with a large collection of market and technology reports, as well as multiple custom consulting projects: business strategy, identification of investment or acquisition targets, due diligence (buy/sell side), market and technology analyses, cost modeling, and technology scouting, etc.Previously, Mounier held R D and marketing positions at CEA Leti (France). He has spoken in numerous international conferences and has authored or co-authored more than 100 papers. Mounier has a Semiconductor Engineering Degree and a PhD in Optoelectronics from the National Polytechnic Institute of Grenoble (France).Mounier is a featured speaker at SEMI-MSIG European MEMS Sensors Summit, September 20, 2018 in Grenoble, France. (1) Source: Status of the MEMS Industry report, Yole Développement, 2018

The Japan semiconductor manufacturing supply chain is a global semiconductor industry workhorse, producing about one third of world’s chip equipment and more than half of its semiconductor materials. In contributing the vast majority of these products, SEMI Japan member companies hold the high distinction of enabling continuous development of the worldwide semiconductor industry. Aptly, then, technology powerhouses IBM, Nissan Motors and Toshiba offered insights into the latest trends and innovations in computing and smart cars at the late-May SEMI Japan Members Days in Tokyo with 133 technologists from member companies in attendance. As the audience discovered, chip innovation never sleeps and, as futuristic as it can be, invariably gives rise to possibilities beyond the human imagination. That was the message of kickoff presentation “Computing Reimagined – AI/Quantum/IoT” – by Dr. Shintaro Yamamichi, Senior Manager, Science Technology at IBM Research-Tokyo. Dr. Yamamichi cited three examples of how semiconductors uncover new technology frontiers. Computational materials discovery, a novel methodology, is the application of theory and computation to unearthing new materials and the key to enabling an ongoing stream of semiconductor innovation. In particular, using cognitive technology to mine huge volumes of literature reveal new insights into materials that uncover even more functionality such as greater conductivity and heat resistance. With new materials the oxygen of ever more advanced semiconductor chip manufacturing, the semiconductor industry will surely benefit from this methodology. The opportunity to accelerate quantum computing innovation is now. Launched in May 2016, the IBM Quantum Experience gives students, researchers and general science enthusiasts hands-on access to IBM’s experimental cloud-enabled quantum computing platform. The online platform features a forum for discussing quantum computing topics, tutorials on how to program IBM Q devices, and other educational material about quantum computing. Dr. Yamamichi encouraged the audience to join the program. The world’s tiniest computer, unveiled by IBM at the company’s Think 2018 conference in Las Vegas, packs several hundred thousand transistors and, IBM claims, the equivalent power of a 1990s x86 chip into a package smaller than a grain of salt. The computer’s small form factor (less than 1mm x 1mm) and low manufacturing cost means it can be embedded in product price tags and packages as an anti-fraud device using blockchain technology. Vehicles need to be both electric and intelligent as countries become more populous and traffic density increases. More drivers extend average drive time, boost greenhouse emissions, devour precious energy resources and lead to more traffic congestion and accidents. Dr. Haruyoshi Kumura, fellow at Nissan Motor, highlighted these issues in stressing the importance of a new era of intelligent mobility. To mitigate these problems, Nissan is focusing on the electrification and intelligence of its vehicles: Nissan’s electric vehicle, Leaf, reduces accidents with electric intelligence systems such as e-Pedal, which uses an accelerator pedal only for both acceleration and deceleration, and ProPILOT Park, a feature that automatically parks the car by using multiple cameras and ultrasonic sonars to detect pedestrians and other objects around the vehicle. With more than 90 percent of traffic accidents caused by driver error, Nissan plans to introduce autonomous driving on multi-lane highways by the end of 2018 and on city streets by 2020. By 2022, the company plans to roll out full autonomous driving to reduce traffic accidents caused by inattentive drivers. For full autonomous driving to materialize, sensor fusion technology must incorporate a combination of technologies – radar systems, light detection and ranging (LiDAR) systems and cameras – to identify the shapes and locations of nearby moving objects and measure their speed. Sensed information is then processed by a 3D graphic analyzer to make electric throttle, braking and steering decisions. The outlook for automotive industry includes car sharing and more electrification – both insights from Yoshiki Hayakashi, general manager, automotive solution strategic planning division at Toshiba Electronic Devices Storage, who offered his perspectives on trends in Japan’s automotive industry and beyond. To meet the requirements of the COP21 Paris agreement, the global automotive industry is shifting to electrification. Toshiba estimates 60 percent of new cars will be electric vehicles by 2040 to meet the International Energy Agency’s global EV outlook. In Japan, autonomous driving or advanced driver assistance systems (ADAS) will be offered in certain areas by 2020, the year of the Tokyo Olympic games. Growth of these advanced driving systems hinges on infrastructure development. Supporting data centers, intelligent transport systems, vehicle-to-everything connections, and smart city are all necessary components. Car ownership will begin to cede ground to car sharing with technology elites such as Tesla, Apple and Google leading the way. To expand the car-sharing industry, new alliances will take shape between new and old-guard automotive companies and electronics manufacturing services (EMS) providers. Autonomous driving requires precise 3D renderings of actual roadways using sensors for route mapping. While sensor fusion must be deployed for these capabilities, LiDAR offers better sensing range and space resolution precision than ultrasonic sonars, radars, and cameras. The next SEMI Japan members day is scheduled for October 30 in Tokyo. SEMI holds similar events in most regions where SEMI and its members operate. For the members events in your region, contact the SEMI office nearest you. Yoichiro Ando is a marketing director in SEMI Japan.

Storage and memory chipmaker and SEMI China member Tsinghua Unigroup is gearing up to meet burgeoning product demand with huge investments in its manufacturing plants. But the high-tech enterprise under Tsinghua University is eyeing a much bigger prize – growth of the region’s semiconductor industry and the realization of its ambition to become a more prominent force on the global stage.Inspired by the national strategy, the Tsinghua Unigroup’s big spends include USD 24 billion in Wuhan (Yangtze Memory Technologies Co., Ltd.,) USD 30 billion in Chengdu, USD 30 billion in Nanjing and USD 100 billion in Chongqing, said Liu Hongyu, senior vice president of Tsinghua Unigroup, speaking at the SEMI China Equipment and Materials Committee meeting last month.Advanced packaging is another rich vein of opportunity the region is tapping for expansion, said Liu Hongjun, vice president of China Wafer Level CSP Co., Ltd., another SEMI China member attending the event, hosted by NAURA in Beijing. Hongjun sees strong growth for Fan-in, Fan-out, FCBGA, 2.5D and 3DIC, with Fan-out out front. Liang Sheng, administrative commission director at BDA, a business advisory firm supporting high-technology manufacturing in the E-Town economic development zone, pointed to 5G chips and smart, networked electric automobiles as drivers of the next growth phase of Beijing’s integrated circuit (IC) industry.Global tailwinds are lifting China’s semiconductor industry and the region’s hopes, with SEMI and major industry analysts raising their semiconductor industry growth projects for 2018 to between 9 percent and 16 percent. According to SEMI’s latest market report, global semiconductor industry manufacturing equipment revenue reached USD 17 billion in the first quarter of 2018, logging all-time highs after jumping 12 percent from the previous quarter and 30 percent year-over-year. Korea was the top-performing region at USD 6.26 billion, followed by China at USD 2.64 billion.Tighter integration with the rest of the global semiconductor industry is critical to the growth of China’s chip sector, and SEMI China is squarely focused on this assimilation, said SEMI China president Lung Chu. The spearhead of this effort is the SEMI Innovation Investment Platform (SIIP) China, established by SEMI China last year to help grow China’s pool of skilled workers, promote advanced technology, generate industry capital, and expand China’s semiconductor industry while developing stronger connections with chip sectors in other regions. To strengthen ties with other regions, SIIP China will stage a number of innovation and investment forums this year including Chinese Night at SEMICON West (July 10-12) and a SIIP China Forum in Silicon Valley (July 15). In August, representatives from the Korea chip industry will visit counterparts in China (August), and a China delegation will travel to Japan for meetings (October). SIIP China is also strengthening the region’s links with Germany and Israel as SEMI serves as a crucial bridge between China’s semiconductor sector and the global industry.At the invitation of Shanghai authorities and the Ministry of Commerce of the People’s Republic of China, SEMI China in November will join the China International Export Import Exposition in Shanghai, an event that will underscore China’s commitment to the openness and cooperation of its semiconductor industry with the international chip community. As part of the exposition, SEMI will work with the Ministry of Commerce and domestic chip manufacturers to begin development of a special integrated circuit (IC) zone. SEMI China members are welcome to participate.With workforce development no less vital to the future of China’s semiconductor industry, the Equipment Materials Committee offered potential solutions to the industry’s talent gap. Measures included targeting university students and engineers with industry lectures and courses in key cities, campus recruiting, talent training that members said they are willing to help SEMI coordinate and stage and, much like the push to better integrate China with the global semiconductor industry, mobilizing member resources around a campaign to polish the image of the industry to make it more attractive to students and young workers. Members of the SEMI China Equipment Material Committee gathered at NAURA in Beijing in June for a warm and lively discussion about global semiconductor industry cooperation and growing China’s semiconductor sector.Cherry Sun is a marketing manager at SEMI China.