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发布时间:2019-11-08        作者: js33333金沙线路检测张云柏        编辑:       浏览:

报告题目:Automotive Embedded Systems and Autonomous Driving Technology

          车载嵌入式系统与自动驾驶相关技术

人:名古屋大学工学研究科曾刚博士 

          名古屋大学中国交流中心副主任

报告时间:2019.11.19  15:30

报告地点:南岭校区机械材料馆529


主讲人简介

    Dr. Gang Zeng is an Associate Professor at the Graduate School of Engineering, Nagoya University. He received his Ph.D. degree in Information Science from Chiba University in 2006. From 2006 to 2010, he was a Researcher, and then Assistant Professor at the Center for Embedded Computing Systems (NCES), the Graduate School of Information Science, Nagoya University. His research interests mainly include power-aware computing, real-time embedded system design, and in-vehicle network design and optimization. He has published a book and more than 60 papers on these fields including some prestigious journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Transactions on Embedded Computing Systems, ACM Transactions on Cyber-Physical Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, etc. He is a member of IEEE, IPSJ, and IEICE.


讲座简介

    This lecture first introduces the concepts, features, and trend of automotive embedded system. Then focus on the necessity, principle, strategy and classification of autonomous driving system. Finally, the technical and non-technical issues that must be solved are discussed in detail. In addition, some latest research results at Nagoya University will also be introduced. This lecture will deepen the understanding of autonomous driving related technologies through the interactive discussion with audience.

    本讲座首先介绍车载嵌入式系统的概念,特性,以及发展趋势。然后重点介绍自动 驾驶系统的必要性,实现原理,战略和分类。最后对实现自动驾驶所必须解决的技术和非技术课题做详尽介绍。此外,名古屋大学的自动驾驶相关最新研究成果也将被介绍。本讲座将通过引导听众积极参与技术讨论,来加深对自动驾驶技术的认识和理解。

     



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