About Speaker
Dr.-Ing. Juergen Dickmann is head of Radar sensors and radar based perception at highly automated driving, DAIMLER AG. In this role he is responsible for all radar projects for the 6th generation of ADAS systems at Mercedes-Benz AG and radar based perception in the cooperation with Nvidia. In his last position, he was in charge of radar and radar perception in the autonomous driving cooperation between Mercedes-Benz AG and Robert Bosch. Before that, he managed the technology transfer process from pre-development into series of all perception sensing (Radar, Laser, Video) and localization technologies for S-Class model BR222. Among others, he held manager positions at DAIMER in Laser-Scanner, Sensor-Fusion and Situation Analysis. He conducted radar research and pre-developments for radar based Pre-Crash and driver assistant systems for all platforms (Passenger cars, Busses, Van, Truck) inside DAIMLER AG. The research achievements of his group can be found in: https://www.researchgate.net/profile/Juergen_Dickmann. He received his Diploma degree in electrical engineering from University Duisburg, Germany, in 1984. In 1991 he achieved the Dr.-Ing. degree at Rheinisch Westfaelische Technische Hochschule Aachen (RWTH), Germany. In 1986 he started his career at AEG Research Center, where he did research on III/V-semiconductor processing techniques, mm-Wave device and MMIC-design (up to 120GHz) and fabrication. Key-Note on “Future demands in automotive Radar” Takeaways: Everybody speaks about vision and lidar systems, but Radar is an indispensable key technology for highly automated and autonomous ADAs HW-SW Co-Design is essential to come to the next level High Performance radar versus smart radar networks – some thoughts Radar perception can benefit performance, if it is not treated like a lidar or camera Massive AI is entering the Radar-Perception arena. Abstract: Over decades automotive driver assistance systems have developed from simple park assistance and ACC to highly complex L3 functions. Among other issues, that has been driven by the dramatic development of radar sensor technology and radar based perception. Radar can see, where other sensors can´t. Due to their performance to be packaged nearly invisible, modern cars can still appear as design artwork icons, like the present EQ-S. With the development towards higher automatisation the total perception system has to provide much more comprehensive and precise information to the path planning and behavior stages in order to allow proper operation. Based on our experience with the “Bertha Drive” as quasi autonomous vehicle, we got inside what is needed in the future. One outcome was, the sensor technology in cooperation with perception algo-concepts have to develop along other lines as compared to simple L2 systems. The key note will line out from a radar point of view what has been achieved so far and what will be needed in the future.
