基于视觉的自主室内代客泊车系统

D. Kang, C. Kang, Joong-Sik Kim, Seunghyun Kim, Whoiyul Kim, Seung-Hi Lee, C. Chung
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引用次数: 7

摘要

本文简要介绍了基于摄像头视觉传感器的室内自动代客泊车(AVP)的研究进展。AVP包括自动驾驶和停车功能。自动驾驶利用天花板led阵列给出的路点来开发最终路点跟踪的驾驶路径。led由安装在汽车挡风玻璃上的前视摄像头检测。自动停车利用停车条纹来检测停车车辆相对于目标停车位的姿势。停车位置由安装在车辆后窗上的后视摄像头检测。在考虑周围障碍物的情况下,生成一个clothoid停车路径,以完成自动停车。AVP的研究已经显示出一些预期的结果。给出了一些航路点和泊位检测的实验结果,以及一些路径规划和控制的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-based autonomous indoor valet parking system
This paper briefly introduces our on-going research on in-door autonomous valet parking (AVP) using only camera vision sensors. The AVP consists of autonomous driving and parking. Autonomous driving utilizes waypoints given by an array of ceiling LEDs to develop a driving path for ultimate waypoint tracking. The LEDs are detected by a top-front-view camera mounted on the vehicles windshield. Autonomous parking utilizes parking stripes to detect parking vehicles pose with respect to the target parking spot. The parking spot is detected by a rear-view camera mounted on the vehicles rear window. A clothoid parking path is generated with surround obstacles being considered to complete autonomous parking. The AVP research is already showing some prospective results. Some experimental results of waypoint and parking spot detections are presented, together with some simulation results of path planning and control.
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