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.

[1]  Roland Siegwart,et al.  Automated valet parking and charging for e-mobility , 2016, 2016 IEEE Intelligent Vehicles Symposium (IV).

[2]  Jeongdan Choi,et al.  Parking Space Recognition for Autonomous Valet Parking Using Height and Salient-Line Probability Maps , 2015 .

[3]  Uwe D. Hanebeck,et al.  Template matching using fast normalized cross correlation , 2001, SPIE Defense + Commercial Sensing.

[4]  E.E. Pissaloux,et al.  Image Processing , 1994, Proceedings. Second Euromicro Workshop on Parallel and Distributed Processing.

[5]  Wolfram Burgard,et al.  Autonomous driving in a multi-level parking structure , 2009, 2009 IEEE International Conference on Robotics and Automation.

[6]  Dong-Wook Kim,et al.  Development of a path-tracking control system based on model predictive control using infrastructure sensors , 2012 .

[7]  T. Pavlidis Algorithms for Graphics and Image Processing , 1981, Springer Berlin Heidelberg.

[8]  Kyongsu Yi,et al.  Design and Implementation of Parking Control Algorithm for Autonomous Valet Parking , 2016 .

[9]  Chung Choo Chung,et al.  Comparative evaluation of dynamic and kinematic vehicle models , 2014, 53rd IEEE Conference on Decision and Control.

[10]  Thomas S. Huang,et al.  Image processing , 1971 .

[11]  Bongsob Song Cooperative lateral vehicle control for autonomous valet parking , 2013 .

[12]  Lionel Lacassagne,et al.  Light speed labeling: efficient connected component labeling on RISC architectures , 2011, Journal of Real-Time Image Processing.

[13]  Kok Kiong Tan,et al.  Autonomous Reverse Parking System Based on Robust Path Generation and Improved Sliding Mode Control , 2015, IEEE Transactions on Intelligent Transportation Systems.

[14]  Christian Laugier,et al.  Autonomous parallel parking of a nonholonomic vehicle , 1996, Proceedings of Conference on Intelligent Vehicles.

[15]  Chung Choo Chung,et al.  Lane estimation using a vehicle kinematic lateral motion model under clothoidal road constraints , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[16]  Christian Laugier,et al.  Motion generation and control for parking an autonomous vehicle , 1996, Proceedings of IEEE International Conference on Robotics and Automation.

[17]  Rajesh Rajamani,et al.  Vehicle dynamics and control , 2005 .