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创新创业工坊:Autonomous Driving in Daimler/Mercedes-Benz: Past, Present and Future
文:教师发展中心 来源:信通学院 党委教师工作部、人力资源部(教师发展中心) 时间:2019-02-28 4429

  人力资源部教师发展中心创新创业工坊特别邀请到奔驰北美研发中心自动驾驶首席技术负责人袁汀博士与我校师生共同研讨Autonomous Driving in Daimler/Mercedes-Benz: Past, Present and Future。具体安排如下,欢迎广大师生积极参加!

  一、主  题:Autonomous Driving in Daimler/Mercedes-Benz: Past, Present and Future.

  二、主讲人:奔驰北美研发中心自动驾驶首席技术负责人 袁汀 博士

  三、时 间:2019年3月4日(星期一)上午10:30

  四、地 点:清水河校区宾诺咖啡

  五、内容简介:

  Autonomous driving poses unique challenges for real world vehicle systems due to the complex driving environment where the autonomous vehicle finds itself in and interacts itself with surrounding objects. We will talk about the motivation/understanding of autonomous driving from the point view of Mercedes-Benz and the current trend about autonomous driving in Silicon Valley. We will introduce different environment representations frameworks from heterogeneous automotive sensors e.g. Radar, stereo/mono camera and Lidar systems. The relevant state estimation algorithms, sensor fusion frameworks and the evaluation procedures with reference ground truth are presented in detail. An interesting glimpse of the data set obtained from a sensor configuration that would be used in the future Mercedes Benz autonomous vehicles will be shown. We try to elaborate the relationship in proper sensor setup, clean software architecture, and advanced algorithms for a satisfying autonomous vehicular settings and requirements. In particular, the start of the art technology for Autonomous Driving in China will be discussed.

  六、主讲人简介:

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  Dr. Ting Yuan is a Senior Research Scientist at the Mercedes-Benz Research & Development North America, Inc., Sunnyvale, CA and principle Tech Lead for Autonomous Driving on China situations within the Autonomous Driving Department, where his fields of endeavor lie in detection, classification and tracking of moving/static objects using information from camera, Radar and Lidar systems, as well as data fusion for the multi-sensor systems. He received his Ph.D. degree from the Electrical and Computer Engineering Department at the University of Connecticut, Storrs, CT, USA in 2013. He has more than 10 years research/working experience in Object Tracking, Sensor Fusion and Localization for aerospace and automotive applications. He has 30+ publications and 10+ approved/pending patents.

  He is an editorial board member at international society of information fusion (ISIF). He is the session chair on autonomous driving at Fusion Conference 2018 (Univ. of Cambridge), Cambridge, UK and on imaging at Emerging Sensing Technologies Summit 2016 (ESTS), Melbourne, Australia. He is an invited tutorial lecturer on ``Automotive Radar Systems at Daimler AG/Mercedes Benz: Past, Present, and Future” at 2016 IEEE Radar Conference in Philadelphia, PA. He is a regular lecturer at international Fusion Conference on ``Sensor Fusion for Intelligence Vehicles”. He is an author of the short course ``Next Generation Sensor Fusion and Environment Perception for Automotive Intelligent Systems” at 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016) in Rio de Janeiro, Brazil. He is a best paper award (1st runner-up) winner at IEEE International Conference on Multi-sensor Fusion and Integration for Intelligent Systems (2016 MFI). He is an invited speaker for Auto:AI Audi 2018 at San Francisco and Berlin. Most recently, he is a keynote opening speaker for Tech.AD China 2019 Shanghai, China.

  

                           人力资源部教师发展中心

                           信息与通信工程学院

                            2019年2月28日


编辑:庄志东  / 审核:王晓刚  / 发布:陈伟

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