A real-time rear view camera based obstacle detection
Guanglin Ma, Manoj Dwivedi, Ran Li, Chong Liang Sun, Anton Kummert · 2009
This paper presents a robust real-time rear-view camera based object detection algorithm for backup aid and parking assist applications. The system is capable of handling the challenges of stationary as well as moving objects in rear view of the host vehicle, utilizing a single car-mounted rear-view fish-eye camera. A motion-based and edge-based object detection algorithm was developed in order to detect near distance objects and distant objects respectively. Furthermore, a free-space detection algorithm was developed which is used to detect areas where no objects appeared in front of the vehicle path. A tracker-based fusion algorithm was used to track and fuse detection results of individual detection algorithms. Experiments have been carried out by applying the proposed algorithm on prerecorded sequences as well as within a test vehicle and thus in a closed loop environment. The experimental results indicate promising detection performance.