Title :
Stereo vision based full-range object detection and tracking
Author :
Shen, Truman ; Schamp, Greg ; Cooprider, Troy ; Ibrahim, Faroog
Abstract :
Active safety applications can be divided into two categories according to the sensor technology the system uses: short range applications and long range applications. Short range applications require reliable sensing of a wider field-of-view but limited range, while long range applications require accurate sensing of a long range but within a limited FOV. In this paper, we present a stereo vision based system that is capable of detecting and tracking objects in full range and wide FOV, which effectively enables both short range and long range applications to happen simultaneously in a single system. The system runs at 20 Hz on embedded hardware, computing 1280×456 range maps, road surface estimation, object detection, segmentation and tracking. For vehicle sized objects, the system has a detection capability of 3 to 160 meters, which is needed for the operation of collision warning/ avoidance systems.
Keywords :
collision avoidance; object detection; object tracking; road vehicles; sensors; stereo image processing; active safety application; collision avoidance system; collision warning system; embedded hardware; long range application; object tracking; road surface estimation; sensor technology; short range application; stereo vision based full-range object detection; stereo vision based full-range object tracking; wide FOV; Accuracy; Cameras; Image resolution; Object detection; Roads; Stereo vision; Vehicles;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4577-2198-4
DOI :
10.1109/ITSC.2011.6083150