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Applications of AI Technologies in ADAS

Time / Place:

⏱️ 11/19 (Sat.) 14:00-14:30 at 2nd Conference Room

Abstract:

AI-based ADAS 關鍵技術發展
•ADAS 技術開發之開放資料集
•KITTI Vision Benchmark Suite
•The Cityscapes Dataset
•ADAS 研究成果分享與 AI 運算資源發展
•Vehicle Detection and Recognition
•Multiple Object Tracking
•Vehicle Movement Prediction
•Lane Detection
•Multi-task Model

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Biography:

陳彥霖
  • 陳彥霖 Yen-Lin Chen
  • Dept. of Computer Science and Information Engineering, National Taipei University of Technology / Distinguished Professor
  • Yen-Lin Chen received the B.S. and Ph.D. degree in electrical and control engineering from National Chiao Tung University, Hsinchu, Taiwan, in 2000 and 2006, respectively. From Feb. 2007 to Jul. 2009, he was an Assistant Professor at the Dept. of Computer Science and Information Engineering, Asia University, Taichung, Taiwan. From Aug. 2009 to Jan. 2012, he was an Assistant Professor at the Dept. of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan, and from Feb. 2012 to Jul. 2015, and from Aug. 2015-Jul. 2021, he was an Associate Professor and full Professor in the same institute, respectively; and since Aug. 2021, he is now a Distinguished Professor in the same institute. Dr. Chen is a Fellow of the IET, a Senior Member of the IEEE, and a member of ACM, IAPR, and IEICE. In 2012, he earned the best annual paper award sponsored by the Intelligent Transportation Society of Taiwan. In 2003, he received Dragon Golden Paper Award sponsored by the Acer Foundation and the Silver Award of Technology Innovation Competition sponsored by the AdvanTech. He also earned the Silver Invention Award from Ministry of Economic Affairs of Taiwan, and received best annual ITS paper awards two times in 2011 and 2012. His research interests include artificial intelligence, intelligent image analytics, embedded systems, pattern recognition, intelligent vehicles, and intelligent transportation system. His research results have been published on over 150 journal and conference papers.

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