Title :
An improved obstacle detection using optical flow adjusting based on inverse perspective mapping for the vehicle safety
Author :
Chin-Yi He ; Chao-Tse Hong ; Rong-Chin Lo
Author_Institution :
Grad. Inst. of Comput. & Commun. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
Abstract :
In this paper, we implement a method to detect obstacles around the vehicle by optical flow computation based on inverse perspective mapping. However, this approach had been proposed and used on the vehicle. But this approach is limited on a trajectory of the vehicle which moves along with a straight line. If the trajectory of the vehicle moves along with an arc line, the optical flow values will inconsistent in the left side and in the right side of this image which causes mistakes in obstacle detection. So we propose a method to improve this problem which uses the trajectory of vehicle to calculate the center of turning circle. And the center of turning circle can be used to adjust the inconsistent with optical flow values. After our improvement, the optical flow values can keep consistence even if the trajectory is along with an arc line.
Keywords :
image sequences; object detection; road safety; road vehicles; traffic information systems; arc line; improved obstacle detection; inverse perspective mapping; optical flow computation; turning circle center; vehicle safety; vehicle trajectory; Adaptive optics; Computer vision; Image motion analysis; Optical imaging; Optical signal processing; Turning; Vehicles; inverse perspective mapping; obstacle detection; optical flow; surround view; vehicle trajectory;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on
Conference_Location :
New Taipei
Print_ISBN :
978-1-4673-5083-9
Electronic_ISBN :
978-1-4673-5081-5
DOI :
10.1109/ISPACS.2012.6473458