讲座时间：2017年4月20日（周四）下午2:00-3:20
讲座地点：9号楼404会议室
主讲人：Reinhard Klette 教授
讲座题目：Towards Autonomous Driving: Vision-based Driver Assistant Systems
主办单位：信息管理与工程学院
主讲人简介：
Dr. Reinhard Klette is a professor at Auckland University of Technology (AUT) in New Zealand. He has several degrees from Jena University in Mathematics and Computer Sciences, including an M.Sc., a Ph.D. and an D.Sc. degree. His previous appointments include positions as a full professor at Auckland University, the Technical University of Berlin, and the Academy of Sciences Berlin. His research interests include computer vision, pattern recognition, and algorithm design. He represents New Zealand in the International Association for Pattern Recognition (IAPR) and in the Asian Federation for Computer Vision (AFCV). He has been elected as a fellow of the Royal Society of New Zealand (RSNZ. He is also a member of the Institute of Mathematics and its Applications (IMA) in the United States and a member of the Korea Institute of Information and Communication Engineering (KIICE) in South Korea. From 2003 to 2008, he was an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI); from 2011 to 2013 he was the founding editor-in-chief of the Journal of Control Engineering and Technology; and from 2005 to 2014, he was a member of the editorial board for the International Journal on Computer Vision. Currently, he is an editor of “Computational Imaging and Vision” published by Springer and a member on the editorial boards of several scientific journals, including the Journal of Information and Communication Convergence Engineering. He is a member of the steering committees of the European biennial conferences on Computer Analysis of Image and Patterns (CAIP) and the Pacific-Rim Symposia on Image and Video Technology (PSIVT).
讲座摘要：
The talk will discuss computer vision challenges in the context of vision-based driver assistant systems, certainly one of the most difficult, but also most dynamically developing areas of current 3D image analysis. Car companies started in about 1995 to add vision solutions into their top-end models,and have now autonomously driving models on the road (e.g. Daimler in their S-class since March 2013, or the current E-Class). — Questions to be answered are as follows: What may happen next in front of the car, at the location where the ego-vehicle is expected to be in the next few seconds? How far can we understand a complex environment, as defined by traffic scenarios, by stereo vision or by using just a single camera? — Various computer-vision modules have reached the state of being robust under various conditions (e.g. for lane analysis, driver monitoring, or distance calculation). A new quality of tasks is now defined by creating combined solutions for the better understanding of traffic related events. The talk informs about current work in the .enpeda.. project at Auckland University of Technology (AUT), Centre for Robotics & Vision (CeRV), directed on adaptive and intelligent solutions for vision-based driver assistance or autonomous driving. The talk also reports about the use of an extensive testbed for autonomous vehicles currently established North of Auckland.
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