Abstract—In recent years, top-view monitoring systems are becoming a practical driving aid that help reducing collision hazards by eliminating blind spots. The U.S. Department of Transportation’s National Highway Traffic Safety Administration (NHTSA) issued a rule requiring rear visibility technology in all new vehicles under 10,000 pounds by May 2018. Many of such systems provide short range views surrounding the vehicle, limiting its application to parking and reversing. In this paper, we propose a practical system for creating images around the vehicle with the parking guidance line, and highlighting obstacles only relies on an embedded hardware and a wide-angle camera to capture images for analysis without sensors. By estimating the ego-motion of the vehicle using the input image sequence of the cameras, the proposed system is able to detect objects in the images by finding movements of features that do not correspond to ground motion relative to vehicle motion. Detected obstacles are highlighted in the multi-view imagery to warn the driver of potential hazards.
Index Terms—Advanced driver assistance systems, parking assistance, collision avoidance, motion analysis.
The authors are with the Department of Computer Science and Information Engineering at National Central University, Jhongli, Taiwan (e-mail: tsengdc@ip.csie.ncu.edu.tw, devil5417@gmail.com).
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Cite: Din-Chang Tseng and Yu-Chi Lin, "Vision-Based Parking Guidance and Obstacle Detection System," International Journal of Future Computer and Communication vol. 8, no. 2, pp. 44-49, 2019.
