Title :
Design and implementation of an image-based backing assistance system
Author :
Yu-Sheng Liao ; Li-You Hsu
Author_Institution :
Automotive Res. & Testing Center, Changhua, Taiwan
Abstract :
This paper proposes an image-based vehicle safety system, which not only provides images of backing car scenarios but also detects obstacles actively at the same time. In this research, image processing techniques are implemented to carry out the goal of obstacle detection. A novel image force field applied on Active Contour Model (ACM) is proposed to segment obstacles fast and efficiently. This system has been implemented on low-cost DSP platform and experiment result shows warning accuracy is 93.12%.
Keywords :
digital signal processing chips; image segmentation; object detection; traffic engineering computing; ACM; active contour model; backing car scenario; digital signal processor; image force field; image processing techniques; image-based backing assistance system; image-based vehicle safety system; low-cost DSP platform; obstacle segmentation; Active contours; Equations; Force; Lattices; Mathematical model; Poisson equations; Vectors;
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ITSC.2014.6957975
