Friday Forum

Abstract
The pathway to achieving full autonomy begins with a cross-functional, system-level approach that surrounds the vehicle with a real-time, 360-degree safety shield. This shield is created by fusing data from high-performance inertial sensors, RADAR, and LIDAR with other sensor outputs, which ultimately gives the vehicle its ability to accurately perceive the road around it. While RADAR and LiDAR remain a premium feature in autonomous vehicles currently, they must become a standard fitment to address safety concerns.
In this talk, we will look at the sensor framework for the fully autonomous vehicle. The need for significantly improved performance and response time will be explored, along with opportunities to exploit the complementary nature of various sensors through fusion of their outputs.

About Ron Kapusta

Ron Kapusta is an Analog Devices Fellow, and also serves as a LIDAR System Architect within the Autonomous Transportation and Safety business unit. Ron holds the B.S. and M.Eng. degrees from the Massachusetts Institute of Technology. Upon graduation in 2002, he joined Analog Devices, designing data converters and sensor interface circuits for digital imaging systems. In 2014, Ron shifted focus to automotive technologies, where he is now focused on electronics, photonics and signal processing for LIDAR.
Ron has presented papers and invited educational talks at multiple IEEE conferences. He holds more than 30 U.S. patents and won the 2013 JSSC Best Paper award. He has served on the technical program committees for CICC and VLSI Circuits.

Abstract
Automotive safety and security are not only pivotal to market acceptance of autonomous vehicles, but a required rite of passage for any automotive supplier. At NXP, safety and security are part of our DNA: we have deep knowhow on these subjects and our safety & security culture is deeply embedded within the company. This means that at every stage of the design and development process, we are implementing industry best practices, complemented by NXP’s unique experience and knowhow in safety & security to deliver state-of-the-art security and safety solutions. Making it easier for our customers to comply with industry-wide requirements and standards for safety and security by delivering documentation, tools and support.

About Kamal Khouri

GM & VP of Automotive Microcontrollers and Processors for ADAS Product Line
Kamal Khouri is General Manager & Vice-president of Automotive Microcontrollers and Processors for ADAS Product Line at NXP Semiconductors.  Kamal holds a BS in Electrical Engineering from Bucknell University and a Masters and Ph.D. in Computer Engineering from Princeton University. He has over 17 years of semiconductor industry experience with multiple patents and over 25 publications. He started his career at Motorola SPS and later Freescale working in various roles in engineering and product management within the compute and networking divisions. Kamal was also Director of Products for various businesses at AMD, ranging from embedded to gaming and semi-custom products. At NXP, he is now defining the future of autonomous vehicles and the processing power they need to make them a reality

Website: www.nxp.com

Abstract:
Automotive electronics have been evolving and creating new control systems to realize safer and more eco-friendly vehicles. Many automotive functions are changing from mechanical to electronic control. By changing the control systems, the number of electronic parts such as sensors, electronic circuits, and actuators has been drastically increasing. And this trend will continue in the future to evolve automobiles. MEMS technologies, along with the packaging, electronic circuit, and software technologies, will become more important in the future vehicle equipped with many advanced sensors. Undoubtedly, the control system becomes more advanced with each improvement in the sensing speed or sensor accuracy.
In the presentation, the future trend of automobiles and Electronics will be discussed.

About Nobuaki Kawahara

Nobuaki Kawahara graduated from Kyushu University in 1981, and received Master of Engineering and Doctor of Engineering degree in 1983, 1993, respectively.
He joined DENSO CORPORATION in 1983 and engaged in automotive sensor developments. Since 2001, directed MEMS research and automotive electronics in DENSO research laboratories.
In 2010, moved to Information and Safety business unit, and directed product developments in Japan and Germany.
He is now head of Advanced Research and Innovation Center, and responsible for Advanced Research in Denso.

Abstract:
Human vision is the most essential sensor to drive vehicle. Instead of human eyes, CMOS image sensor is the best sensing device to recognize objects and environment around the vehicle. Image sensors are also used in various use cases such as driver and passenger monitor in cabin of vehicle. For these use cases, some special functionalities and specification are needed. In this session the requirements for automotive image sensor will be discussed such as high dynamic range, flicker mitigation and low noise. In the last part the key technology to utilize image sensor, such as image recognition and computer vision will be discussed.

About Hiroaki Matsumoto

Hiroaki Matsumoto received a B.A. degree in electrical engineering from Tokyo University of Science, Japan in 1983 and joined the Sony Corporation. He started his career at video recorder division and worked as analog circuit designer. Later he worked on hardware and software system development for consumer cameras. He led a lot of SOC development project for video and still cameras from 1.4um to 28nm technology node over 28 years. He has been appointed Distinguished Engineer since 2008. He is currently working on research and development of the automotive image sensing system in Sony Semiconductor Solution Corporation.

Abstract:
In the old good days, CPU performance increased almost 1.5 times / year thanks to the Moor’s Law. However by the year 2010, due to the leakage current and too complex CPU architecture, this rate becomes 1.1 times / year. On the other hand, parallel processing dedicated GPU continues to grow its performance with the rate of 1.5 times / year, and even with the Moor’s Law ending, it still continues to grow its performance by built-in accelerators. Now GPU is the most widely used accelerator in AI and Supercomputing. This GPU architecture is also applied to the most advanced autonomous driving SoC Xavier.
In this talk, GPU technologies which realize this high performance, the autonomous driving platform based on this GPU and Xavier SoC, and the end-to end system solution that enables its functional safety and reliability will be introduced.

About Toru Baji

Toru Baji graduated from Osaka University Graduate School and joined Hitachi’s Central Research Lab in 1977. There he conducted research in solid-state image sensors and processor architecture.
From 1984, he was engaged in CMOS analog-digital circuit and processor architecture research at University of California, Berkeley and Hitachi America R&D respectively. Back in Hitachi, he led the development and deployment of SH-DSP, the first CPU-DSP unified processor as a project and department manager. Hitachi Semiconductor Division has then been moved to Renesas and he served as a General Manager of Automotive Application Technology Department.
He joined NVIDIA in 2008 as a Senior Solution Architect for automotive business, supporting worldwide customers for automotive processors applications. Since 2016, he serves as an NVIDIA technology advisor and GPU Evangelist.

Abstract:
The automotive industry is changing faster today than it has in 100 years and must reconsider what our society and customers expect from us – as automotive companies. It is not only a shift from a car manufacturing & sales company to a mobility company but also a convergence of electrification, connectivity and artificial intelligence. With these exciting advances, it is our mission to provide new mobility society.

The main objectives of this session are: (1) the current state of vehicle connectivity, showing connected vehicles in Japan and how to utilize big data, and (2) our vision of the smart mobility society of the future, which is the key to realize seamless and comfortable
transportation through connected vehicles with the Vehicle Control Interface and the Mobility Service Platform (MSPF).

About Takashi Imai

Takashi Imai is Division Manager of Connected Advanced Development Division of Toyota Motor Corporation. Mr. Imai was President of Toyota InfoTechnology Center Co., Ltd. before Toyota InfoTechnology Center Co., Ltd. was merged into Toyota Motor Corporation in April 2019. In addition to his role as President, he was President and CEO of Toyota InfoTechnology Center, U.S.A., Inc.
Since beginning of his career with Toyota Motor Corporation in 1992, Mr. Imai has gained extensive experiences both in Japan and America. Prior to becoming President of Toyota InfoTechnology Center, he was responsible for reorganizing the Connected Function of Toyota Motor North America, Inc. as Executive Advisor. He has also held various technical and management positions, including strategic planning Manager for on-board electronic control unit; Manager of in-house development for HV’s brake system; Lead Engineer of electromagnetic compatibility for the first-generation Prius; and Engineer of development of on-board systems (e.g., in-vehicle infotainment systems).