Page 10 - EE Times Europe Magazine – June 2024
P. 10

SPECIAL REPORT: AUTONOMOUS VEHICLES












                Pondering the

                Trajectory of AV

                Adoption


                By Anne-Françoise Pelé

                        ver the past decade, autonomous driving
                        technologies have advanced significantly,
                        moving beyond the Gartner hype cycle
               Owith real-world deployments. Robotaxis
                are now on the streets of San Francisco, Beijing
                and Shanghai, and the first L3 autonomous systems
                have been launched. By 2035, McKinsey expects
                that autonomous driving will create between
                US$300 billion and US$400 billion in revenue.
                  However, full autonomy remains a challenge, and
                it might be some time before we can read a book and
                enjoy the scenery while our AV drives us safely to our
                destination. Safety—for us, our passengers and those
                around our vehicle— relies on the sensors operat-
                ing properly. Today’s vehicles are equipped with
                dozens of camera, radar and LiDAR units, which work
                together with sophisticated algorithms and powerful
                processors to deliver intelligence and autonomous
                functions. The promise of fully autonomous, safe and
                reliable AVs will be possible only with a collaborative,
                multi-disciplinary approach.
                  An AV is a safety-critical system that leaves no
                room for error, malfunction or compromise. Any fail-
                ure can cause accidents that result in serious injuries
                or even death. Who is responsible for an accident
                with a self-driving car? What sensing solutions are
                needed to make AVs smarter? What are the latest
                developments in sensor fusion technology? How do
                software-defined vehicles reset the safety bar? How
                is AI making AVs more reliable? Can AI-powered
                self-driving cars race on F1 tracks? What is Nvidia’s
                impact on AI-defined AVs?
                  This Special Report will try to answer these fun-
                damental questions and open up new conversations.
                It relies on contributions by IDTechEx, Yole Intelli-
                gence, MIPI Alliance, Secure-IC, Breker Verification
                Systems and VSI Labs, as well as discussions with
                Phlux Technology, Innoviz Technologies, BlueWhite,
                Analog Devices Inc., the Computer Vision Laboratory
                at Sweden’s Linköping University and the Technical
                University of Munich Autonomous Motorsport Team. ■
                                                                                                                   IMAGE: ADOBE STOCK
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