English
Thông tin seminar về Towards Self-driving Cars: Test Fields, Visual Odometry, Stixels and Road-surface Analysis
Thời gian: 14.30 ngày thứ 5, 18/4/2019
Địa điểm: phòng 803, B1, Đại học Bách khoa Hà Nội
Người trình bày: Prof. Reinhard Klette, Auckland University of Technology,
Tóm tắt bài trình bày:
Self-driving cars use various sensors, to be tested on extensive test fields under location, weather and traffic-specific conditions. One test field (N3T) is currently developing near Whangarei in New Zealand, in collaboration with the German Air- and Space Centre (DLR) and Auckland University of Technology (AUT).
In the context of test field studies, the talk informs especially about computer-vision based components towards self-driving cars. Visual odometry supports exact geo-localisation of vehicles on the road, and in particular also accurate 3-dimensional roadside reconstruction, thus improving GPS/IMU-only based approaches.
Different camera configurations (mono, bi, or tri-nocular) contribute to the options for sensor configurations in self-driving cars. The talk discusses results for visual odometry and stixel calculations (stixels are an important intermediate result within a semantic segmentation framework) for evaluating different camera configurations. It is also demonstrated how visual odometry provides important information for improved road-surface distress analysis.
Thông tin về người trình bày:
Prof. Reinhard Klette (Auckland University of Technology, Fellow of the Royal Society of New Zealand, Quancheng Friendship Award, Helmholtz Fellow) made significant contributions to two major areas, digital geometry and computer vision. He is the director of the Centre for Robotics & Vision (CeRV). Professor Klette has been working in the area of computer vision for more than 30 years. In 2003 he published with the late Professor Azriel Rosenfeld of University of Maryland, USA, the first comprehensive monograph on digital geometry (published by Morgan Kaufmann, San Francisco). He has become internationally renowned for his work in vision-based driver assistance since 2006. In 2008 he co-authored (with two of his former PhD students) a research monograph on panoramic vision (with Wiley, UK), in 2011 a research monograph (also co-authored with a former PhD student) on shortest paths in Euclidean spaces (with Springer, UK), and in 2017 a research monograph (also co-authored with a former PhD student) on vision-based driver assistance (with Springer, The Netherlands). His book entitled “Concise Computer Vision” has been published by Springer, London (UK), in 2014. Since 1995, Professor Klette has been invited as a keynote or plenary speaker to international conferences worlldwide. He was an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) between 2001 and 2008. He is a steering committee member of the biennial conferences on Computer Analysis of Images and Patterns, taking place in Europe, and a steering committee member of the Pacific-Rim Symposium on Image and Video Technology. Professor Klette supervised already 32 PhD students to the successful completion of their PhD program.
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