lidar

Cynthia Wright, a retired military officer with over 25 years of experience in national security and cyber strategy and policy, now Principal Cyber Security Engineer at The MITRE Corporation, will give the opening keynote at the upcoming MEMS Sensors Executive Congress, October 29-30, 2018 in Napa, Calif. SEMI’s Maria Vetrano interviewed Wright to give MSEC attendees an advance look at Wright’s highly anticipated presentation.SEMI: MEMS and sensors suppliers provide intelligent sensing and actuation to hundreds of billions of autonomous mobility devices – but historically, our community has not been at the forefront of cybersecurity. Why is now a good time for us to get involved?Wright: From wearables, smartphones, refrigerators and agriculture to medical devices and military hardware, autonomous mobility devices pervade our lives. At the same time, Internet of Things (IoT) botnet attacks like Mirai — and other demonstrated cyberattacks on home devices, vehicles and infrastructure — highlight the increasingly urgent need to address cybersecurity and privacy in MEMS/sensors-enabled devices.As building-block players in autonomous devices, MEMS and sensors suppliers have several good reasons to get involved.The number of IoT cyber security bills before state and federal legislatures suggest that regulation is coming, and it is in everyone’s best interest to prepare. While original equipment manufacturers (OEMs) would generally be held liable in cases of component malfunction or data breach, if insecurity stems from a microelectromechanical component, OEMs would most likely choose component suppliers with secure products.Beyond legislation and competitive advantage, we must consider that people’s well-being, even lives, could be at stake. Imagine what could happen if someone hacks into an insulin pump, the accelerometer on a train, or the LIDAR of an autonomous car. Intrusions of this sort could prove catastrophic.SEMI: Where do you perceive the biggest potential threats to consumers, industry, government?Wright: In good military fashion, I would say that it depends. If a person is a consumer of medical implants, that’s a big threat. On the government side, we could be talking about networked devices involved in military situational awareness. In industry, it could be sensors governing critical manufacturing or safety processes.I am not saying that every sensor must be secure. In every sector, there are areas of greater or lesser vulnerability, depending on context. SEMI: What is security or privacy by design?Wright: Addressing security flaws is cheaper and more easily accomplished at the design stage and not after the vulnerabilities are discovered. At MITRE, we practice systems- and design-oriented thinking as we consult with people doing development. We help them to develop security standards and approaches that are broadly applicable, rather than focusing on a specific product.For example, MITRE looks at the ways that a person might hack into a car to steal location and life history data — or alter its functions — to facilitate general standards and approaches that will help manufacturers better ensure the privacy and security of autonomous vehicles. Hackers have demonstrated that they can interfere with vehicle transmissions and brakes. Ignition, steering and other critical systems are theoretically accessible through the same types of attacks. To what degree can MEMS/sensors suppliers help automotive manufacturers ensure the privacy and security of autonomous cars, and the safety of their drivers? SEMI: What would you like MSEC attendees to take away from your presentation?Wright: MEMS/sensors suppliers are on the leading edge of computing and should take some responsibility for considering cybersecurity and privacy, for the safety of their customers and their own competitive advantage. Recognize which devices should be secure and act accordingly. Get involved at the design stage. The market for secure microelectronics is only going to grow, and this will benefit suppliers who take secure design seriously.Cynthia Wright will present Cyber Security and Privacy in the Age of Autonomous Sensing on Monday, October 29 at MEMS Sensors Executive Congress in Napa, Calif.Register today to connect with her at the event. Maria Vetrano is a public relations consultant 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.

Driven by the adoption of evermore electronic components in end products, the semiconductor industry is facing a new era in which device scaling and cost reduction will no longer continue on the path followed for the past few decades. Advanced nodes no longer bring the desired cost benefit, and R D investments in new lithography solutions and devices below 10nm nodes are rising substantially. In order to satisfy market demands, the industry is looking for technology solutions to bridge the gap and improve cost/performance while at the same time adding more functionality through integration.More than-Moore devices (including MEMS and sensors, CMOS Image Sensors, power electronic, along with RF devices) represent this new functional diversification of technologies, combining performance, integration and cost not limited to CMOS scaling, and their importance will become more and more preponderant.In 2017, wafer demand for More than Moore devices1 reached almost 45 million 8-inch eq. wafers. This figure is expected to reach more than 66 million 8-inch eq wafers by 2023, showing an almost 10 percent growth during this period.This increase is supported by the famous megatrends detailed in the new analysis, Wafer Starts for More Than Moore Applications2, performed by Yole Développement (Yole). This analysis is relevant to the following markets: 5G with wireless infrastructure and mobile segments, mobile including additional functionalities, voice processing, smart automotive and electrification, AR/VR3, and AI4.For the first time, the market research and strategy consulting company presents a dedicated technology and market analysis focused on the overall wafer demand for More than Moore devices. The aim of this report is to give an overview of wafer shipments for More than Moore devices, from wafer size to semiconductor material substrate type including silicon, glass, SOI5, SiC6, SiGe7, GaN8, InP9, GaAs10, sapphire and ceramic, and thus identify business opportunities in the More than Moore industry.For over 20 years, Yole has been analyzing the industry evolution, discussing with leading companies to understand market challenges, and identifying technical breakthroughs. The Wafer Starts for More Than Moore Applications report is the result of this 20-year research. Yole’s analysts combine technical and market expertise to describe the More than Moore world. Market size (volume and value), substrate sizes and formats, value chain, technology processes and market drivers, business opportunities and competitive landscape are all part of Yole’s analysis.The various research teams at Yole, encompassing power electronics, imaging and sensing, RF and semiconductor manufacturing, collaborate to present an in-depth understanding of the current market evolution, taking into account innovations and emerging businesses. This methodology allows Yole to cover the overall megatrends and illustrate the links between wafer substrate, device, module, sub-system, system and high-end product.Under this dynamic ecosystem, the deployment of renewable energy sources and industrial motor drives as well as the electrification of the automotive industry are good examples of the impact of megatrends on the semiconductor industry development. They are directly impacting the power devices’ wafer market, resulting in an expected 13 percent CAGR between 2017 and 2023. Already in 2017, this market represented more than 60 percent of the overall wafer market for More than Moore devices, and is currently still dominating the More than Moore industry.5G is one megatrend driving wafer demand. 5G is leading the More than Moore evolution, bringing any service to any user, anywhere. Antennas and filtering functionalities are two of the key innovations of this evolution.Without doubt, the stringent requirements of 5G are driving increasing demand for RF components like RF filters, power amplifiers (PAs), and low-noise amplifiers (LNAs) to ensure access to tomorrow’s radio network.This year, Corning and Menlo Micro announced a major agreement to develop a DMS[11] product platform. Both partners propose an innovative approach based on TGV12 packaging technology. According to both partners, this technical choice allows them to cover operation of frequencies beyond 50GHz. Amongst the numerous megatrends, mobility is not far behind 5G. Demand for advanced mobile applications integrating more and more functionality is growing. In order to compete companies are developing smart combinations of devices such as fingerprint sensors, ambient light sensors, 3D sensing, microphones, and inertial MEMS devices. As an example, impressive developments focused on SOI-based NIR sensors have been released by SOITEC for front-side imager applications including advanced 3D image sensors. This technical evolution will clearly contribute, in the near future, to strong growth of the wafer market for MEMS and sensors. Additionally, the automotive industry, with the development of smart cars, has reached a new level of complexity requiring the development and integration of new sensors. In this context, many companies are aiming to extend their capabilities in ADAS13 and autonomous driving. Recently the leading company On Semiconductor acquired SensL Technologies, the leader in SPAD and LiDAR sensing products for automotive. This acquisition is one sign among many highlighting the evolution of this historic industry, searching for new expertise and welcoming new players, more aware of consumer habits and needs.Yole’s analysts expect smart automobiles to drive consistent growth of CIS14 and sensor wafer production over the next five years. It is fueled by the increasing integration of high-value sensing modules like RADAR, imaging, LiDAR and more. Although automotive will be mainly supported by these growth areas, historic MEMS and sensors such as MEMS pressure sensors and inertial MEMS will continue growing at a reasonable rate, supporting the standard automotive world.Yole Group of Companies including Yole, System Plus Consulting, KnowMade, PISEO and Blumorpho follows and analyzes the industry continuously. The Group has developed in-depth expertise and knowledge focused on the semiconductor manufacturing process and markets. Companies of the Group work together to understand the technical issues, identify business opportunities and propose valuable analyses.Yole invites you to an overview of the Wafer Starts for More Than Moore Applications report during the exclusive online event, titled “Wafer Starts for More than Moore Applications – Webcast”. This hourlong webcast takes place on June 28 at 5:00 PM CEST. The market research company will present key results of this report including megatrends, wafer market evolution and technical trends. Moderated by David Jourdan, Sales Coordination Customer Service at Yole, it welcomes the two leading companies, SPTS (an Orbotech Company) and Corning Precision Glass Solutions: "Trends in Wafer Processing Technologies for RF MEMS" – Speaker David Butler, Executive Vice President and General Manager at SPTS Technologies "Benefits of Through Glass Vias for RF applications" – Speaker: Ravij Parmar, New Product Development Manager for Corning Precision Glass Solutions These results will be also presented by the Semiconductor Software team at SEMICON West (Booth #1320), SEMICON Taiwan and SEMICON Europa (Booth #A-4667). Make sure to meet Yole’s analysts and get a valuable overview of the More than Moore industry. Agenda and more information are available on i-micronew.com. Stay tuned!About the authors:Amandine Pizzagalli is a Technology Market Analyst, Equipment Materials - Semiconductor Manufacturing - at Yole Développement (Yole). Amandine is part of the development of the Semiconductor Software division of Yole with the production of reports and custom consulting projects. She is in charge of comprehensive analyses focused on semiconductor equipment, materials and manufacturing processes. Emilie Jolivet is Director of the Semiconductor Software Division at Yole Développement, part of Yole Group of Companies, where her specific interests cover package assembly, semiconductor manufacturing, memory and software computing fields. 1 Including: MEMS sensors, CIS, and power, photonics and RF devices2 Yole Développement, March 20183 AR/VR : Augmented Reality/Virtual Reality4 AI : Artificial Intelligence.5 SOI : Silicon On Insulator6 SiC : Silicon Carbid7 SiGe: Silicon Germanium8 GaN: Gallium Nitride9 InP: Indium Phosphide10 GaAs : Gallium Arsenide111 DMS : Digital-Micro-Switch12 TGV : Through Glass Via13 ADAS : Autonomous Driving Assistance Service14 CIS : CMOS Image Sensor

The fast-growing automotive semiconductor market means big change for the IC supply chain. Beyond the obvious demands for reliability and traceability, the sector is moving towards simpler and lower-cost solutions while facing the daunting challenge of automating driving in a complex world. The need for simpler and cheaper automotive intelligence will likely drive acquisitions to build complete platform solutions that are easier to integrate. This demand has already spawned a market for pre-configured test cars to save developers time and money, and is driving LiDAR (Light Detection And RADAR) towards lower-cost, solid state solutions. “The growth of the automotive electronics market provides a great opportunity for the IC supply chain to differentiate on specialty processes and quality for the high-volume automotive business with its long design cycles,” says Scott Jones, principal, strategy, at KPMG, who will speak in the automotive program at SEMICON West. “This differentiation is a chance to reduce chip suppliers’ dependence on scaling volume for the mobile phone world with its short-cycle volatility of winning and losing sockets.” He notes that increasing demand for automotive ICs is also reinvigorating the eight-inch supply chain and spurring opportunity for specialty products such as compound semiconductor devices for power efficiency. Supplying the automotive market also means addressing automotive reliability requirements, which can be 10 times more stringent than for consumer devices. At the same time, the industry must sustain fast-paced development cycles required for the volume and diversity of low-cost IoT devices, manage the segmented supply chain for both those markets, and still spread development costs. Another big challenge for the supply chain will be to automate testing and update vast amounts of embedded software in these automotive devices. “The more complete solution a company can put together, the more the automakers will gravitate to it. They want simplicity,” Jones suggests. Smaller players will need to differentiate with IP and acquire other IP provider to build a broader platform, or be acquired and folded into an all-in-one solution.AutonomouStuff helps accelerate and simplify development of autonomous driving solutionsAutonomouStuff is helping to speed development of these platforms. The company has grown from a sensor distributor into a supplier in the emerging niche of vehicles preconfigured with key interfaces for sensors and controls. These interfaces can then be customized by integrating different components for developers to test their applications. AutonomouStuff offers developers a lineup of vehicle models pre-configured with the interfaces needed to add desired chips, sensors and software to develop their autonomous vehicle systems. Source: AutonomouStuff.“Whether they’re major chipmakers or AI software startups, they don’t have a year to build their own vehicle platforms themselves for developing autonomous vehicle systems,” says Wolfgang Juchmann, VP sales and business development at AutonomouStuff. Juchmann, a SEMICON West speaker, will bring a demonstration vehicle to the show. “In four to six weeks we can prepare a custom test car with selected sensors, enabling users to start testing their computer platforms and software. It’s faster and more cost-effective for us to supply the car with the needed interfaces.” He notes that developers are using some 300 AutonomouStuff vehicles in the field. AutonomouStuff customers are starting to transition from testing on a single car or two to testing on mini-fleets with 50 to 100 vehicles. Beyond sensors and pre-configured vehicles, the next step will be to add more data intelligence services to help with capabilities like tagging the data for training, Juchmann says. AutonomouStuff already offers hardware to support Baidu’s Apollo open-source software stack and data set. The company was recently acquired by the Swedish holding company Hexagon to help support expansion.CMOS silicon LiDAR nears automotive qualificationInnovations in the hyper-competitive LiDAR market, where burgeoning demand is driving the race to develop various types of solid-state devices, may also help reduce the cost of autonomous vehicles. Among the roughly 40 LiDAR suppliers, at least one – Quanergy – is taking advantage of 45nm and 32nm foundry CMOS volume production. The company uses voltage through the semiconductor stack to change the refractive index, controlling the phases of optical beams and the resulting interference patterns of light exiting the chip to quickly steer the laser beam without the need for moving parts, much like the phased array radar its team developed earlier. Solid state LiDAR image with object recognition software. Source: QuanergySo far, most of the small LiDAR units have shipped to the security, industrial automation, drone, robots and 3D mapping markets. However, Quanergy CEO Louay Eldada, another SEMICON speaker, says the company is also winning automotive designs and expects automotive shipments to take off early next year, once automotive certification testing is completed. “We can get design wins because standard CMOS production at TSMC makes us a known entity,” says Eldada. To prevent component misalignment, the company produces its own specialized packaging to secure the laser, phase control ASIC, optical phased-array emitter, detector array, and receiver readout ASIC at its plant in Silicon Valley or the facility of its automotive partner Sensata. Through its software business, Quanergy offers an artificial intelligence (AI) perception program for object recognition and LiDAR tracking. The solution uses the people-tracker software the company acquired from Raytheon.SEMICON West this year expands to three full days of automotive electronics programming and features a Smart Transportation Pavilion. Other companies with experts who will speak as part of the program include XPT/NIO, Infineon, McKinsey, Voyage, GM Cruise, Bosch, Deepen AI, Airbus A3, Nvidia, Excelfore, Byton, Macronix, SK Hynix, SAP, Xilinx, Achronics, California Fuel Cell Partnership, Velodyne, Lam Research, KLA-Tencor, SCREEN, Rockwell, Versum Materials, TechSearch International, Entegris, ASE, Amazon, Continental and Wind River. www.semiconwest.orgPaul Doe, SEMI

Emboldened by advances in self-driving and Internet of Vehicles (IoV) technologies, Taiwan’s microelectronics sector is investing heavily in manufacturing processes and equipment as engines of innovation and growth for autonomous driving, the world’s next market goldmine. But breaking into the self-driving vehicle industry can be a steep uphill climb. Semiconductor players hungry to secure their piece of the potentially massive market must know how to navigate the automotive industry’s unique ecosystem of suppliers, not to mention its lofty standards for safety and reliability.To explore opportunities and challenges in the automotive semiconductor market, SEMI recently organized Mobility Tech Talk – a gathering of experts from Strategy Analysis, Yole Développement, Renesas, X-FAB and IHS Markit who examined the evolution of sensors for autonomous cars, advanced driver-assisted system (ADAS) applications, and new energy vehicles (NEVs) in China. Nearly 200 participants exchanged in-depth, forward-looking insights and perspectives as the event helped forge stronger relations among various market segments. Here are four key takeaways from the conference. Lidar: The Hottest Sensing Technology for Smart AutomotiveLidar, mmWave radar, cameras and inertial measurement units (IMUs) are critical sensing devices for autonomous cars. With sensor and high-speed computing technologies maturing at their current pace, some 350,000 self-driving vehicles are expected to hit the road by 2027. But before a single autonomous vehicle takes to the roadways, self-driving technology must become expert at monitoring a vehicle’s environment.That’s where Lidar, the hottest of all sensing technologies and the key to the holy grail of safe self-driving, comes into the picture. Lidar’s versatility supports multiple essential functions such as mapping, object detection and object movement. The problem is that mass production is still impossible due to the technology's high costs. What’s more, technical issues must still be sorted out with solid-state lidar, mechanical lidar and MEMS. Both startups and traditional tier-1 semiconductor manufacturers are aggressively investing in related research and development in hopes of fulfilling lidar's promise and seizing the market opportunity. Smart Automotive Sets New Quality and Safety StandardsAs cars become smarter, so too must silicon. Chips must support vastly more data generated by in-vehicle connectivity, ADAS, electrification, autonomous driving and an array of other functions that rely on advanced automotive electronics components. With demand for smarter silicon surging, Taiwan semiconductor companies are turning to the automotive chip industry for expertise and serving as OEMs for major automakers.Quality and safety for automotive applications is paramount. In-vehicle semiconductors must meet strict requirements for vehicle control, robustness, liability, cost and quality management to meet the automotive specifications necessary to securing certifications. Smart silicon must also pass all AEC-Q liability standards promoted by North America automakers and score “zero defect” for the ISO/TS 16949 Automotive Quality Management System.China’s New Energy Vehicles To Fuel Semiconductor GrowthTo promote NEVs and reduce fuel consumption of cars with internal combustion engines (ICEs), late last year the Chinese government introduced the Measures for the Parallel Administration of the Average Fuel Consumption and New Energy Vehicle Credits of Passenger Vehicle Enterprises. With China the world’s largest market for NEVs, the policy is forcing automakers in Japan, the U.S. and Europe to accelerate moves towards NEVs that, in turn, will fuel growth in the semiconductor and automotive battery industries. NEVs in China are expected to number 2 million by 2020 before more than doubling to 4.9 million by 2025. Today, most cars still run on ICEs as environmentally friendly motor drives are still under development. In unit shipments, motor drives are expected to surpass ICEs by 2025.Cross-field Collaboration is KeyThe rise of smarter, fully autonomous vehicles – a disruptive Car 2.0 – is unlikely to happen overnight. Rapid growth of the global automotive semiconductor market will continue, with safety and powertrain applications driving the strongest chip demand. Meanwhile, automakers are focusing more on innovations from startups and non-traditional suppliers, and some have even started to develop their own IP and solutions. These paradigm industry shifts are diversifying the automotive supply chain into a cross-domain collaborative network of suppliers, pushing the closed, one-way automotive supply chain into lesser relevance. In the near future, rivals and partners may become indistinguishable as traditional turf wars begin to wane. As ADAS and autonomous cars evolve, and the era of electric cars nears, automotive semiconductors are emerging as the engine of growth for the global semiconductor industry. The automotive semiconductor market is expected to grow at a CAGR of 5.8 percent, reaching US$48.78 billion by 2022.For its part, the SEMI Smart Automotive special interest group connects professionals from the microelectronics and automotive industries. The group promotes the semiconductor industry's development of automotive technologies and cross-domain collaboration to help drive autonomous vehicle innovation.