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The Technology Behind Automated Driving Levels 2+ & 3

Level 2+ and 3 automation is transforming mobility. New advancements are creating more freedom for drivers to do other things while on the highway. Join us as we discuss how this technological evolution promises to change the driving experience forever.

Originally presented: December 10, 2021
Duration: 1 hour
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The technical complexity for Level 2+ and 3 vehicles is increasing exponentially. Level 2+ enables automated highway entrances and exits, lane changing and merging which require enhanced perception and computing capabilities. Our discussion will examine how to transfer the solutions developed in labs into cost- effective, high-volume systems that can be integrated into the production process.

In our industrial roundtable, we'll scrutinize the hardware, software and manufacturing challenges and discuss practical solutions for levels 2+ and 3 implementation. We'll also explore how these technologies fit in with Levels 4 and 5.


Edgar Sotter - Moderator, Senior Director, New Product Technology, CSA Group

Edgar Sotter is a senior director of new product technology in the CSA Group. His team looks to the technology horizon for new developments and applications that could present opportunities for CSA's Test, Inspection and Certification business.

Prior to joining CSA, Edgar worked as senior director, product strategies & client solutions at Systems with Intelligence Inc. (SWI), a manufacturer of monitoring products for the electrical sector.

Edgar has 20 years of combined academic, technical and business experience. He has a Ph.D in electronic engineering from Universidad Rovira I Virgili (Spain), an executive MBA from the University of Toronto (Canada) and a bachelor's of science in electronic engineering from Universidad del Norte (Colombia).

Pekka Kostiainen, Senior Manager, Business Development, Murata

Pekka Kostiainen is a senior manager, business development of mobility in Murata Electronics North America. His role is to support and find solutions to OEM and Tier1 customers' AD/ADAS IMU challenges in measurement, integration and manufacturing, using Murata's resources and supplier and partner network.

Pekka has 20-plus years of combined technical and business experience related to MEMS acceleration, pressure and angular rate sensors and solutions in the field of consumer electronics, healthcare and automotive. He has a master's of science in electrical engineering from the Helsinki University of Technology.

Peter Els, Entrepreneur and Consultant, Writing About Cars

Peter Els graduated as an automotive engineer in 1983  and gained automotive engineering experience working for prominent OEMs and first tier suppliers in South Africa.  This includes time with Nissan South Africa‚Äôs Product Development Division, Daimler Chrysler, Toyota, Fiat/ Alfa Romeo, Beijing Automotive Works (BAW), as well as tier-one suppliers Robert Bosch and Pi Shurlok.

After consulting to the local industry for 15 years, Els has ventured into technical writing and journalism about the latest trends, technologies, opportunities and threats facing the new world of mobility. He has analyzed and reported on nascent global automotive technologies and trends for over 10 years, with dozens of articles and reports being published and cited on platforms aimed at automotive professionals, businesses, and savvy car enthusiasts.

Warren Smith, Director of Perception, Insight LiDAR

Warren Smith brings to Insight LiDAR experience leading cross-functional teams at both Uber Advanced Technologies Group and Aurora Innovation. As a signal processing and perception expert, his teams spanned both hardware and software to define requirements, engage sensor teams, evaluate sensors and develop autonomy software. As Director of Perception for Insight LiDAR, Smith works with company partners to integrate its ultra-dense, data-rich point clouds into their autonomy software. Additionally, Smith works with Insight LiDAR's core development team to hone the flexible, chip-scale platform to meet the needs of key partners. Smith holds a master's in Machine Learning from the University of Arizona, a master's in electrical engineering-signal processing from USC and a bachelor's in electrical engineering with a minor in economics from Brigham Young University.