Bird's-eye view vision system for vehicle surrounding monitoring

Yu Chih Liu, Kai Ying Lin, Yong-Sheng Chen*


研究成果: Conference contribution同行評審

111 引文 斯高帕斯(Scopus)


Blind spots usually lead to difficulties for drivers to maneuver their vehicles in complicated environments, such as garages, parking spaces, or narrow alleys. This paper presents a vision system which can assist drivers by providing the panoramic image of vehicle surroundings in a bird's-eye view. In the proposed system, there are six fisheye cameras mounted around a vehicle so that their views cover the whole surrounding area. Parameters of these fisheye cameras were calibrated beforehand so that the captured images can be dewarped into perspective views for integration. Instead of error-prone stereo matching, overlapping regions of adjacent views are stitched together by aligning along a seam with dynamic programming method followed by propagating the deformation field of alignment with Wendland functions. In this way the six fisheye images can be integrated into a single, panoramic, and seamless one from a look-down viewpoint. Our experiments clearly demonstrate the effectiveness of the proposed image-stitching method for providing the bird's eye view vision for vehicle surrounding monitoring.

主出版物標題Robot Vision - Second International Workshop, RobVis 2008, Proceedings
出版狀態Published - 2008
事件2nd International Workshop on Robot Vision, RobVis 2008 - University of Auckland, New Zealand
持續時間: 18 2月 200820 2月 2008


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4931 LNCS


Conference2nd International Workshop on Robot Vision, RobVis 2008
國家/地區New Zealand
城市University of Auckland


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