An Application of Binocular Vision Model in Intelligent Vehicle System
In this paper, the binocular stereo system is applied to intelligent vehicle. A series of simulation tests have been carried out. Two CCD video cameras with the consistency of parameters and performance are applied in the tests to acquire image synchronously. In order to achieve the performance of real-time and accuracy, Hough Transform is applied for edge detecting and SURF algorithm is used for image matching. After image binarization, edge detection and image matching, we can calculate the parallax of the two corresponding images, and then get the distance and relative velocity of the obstacle. Satisfactory results have been achieved in comparison with the reality.
X. Y. Xing et al., "An Application of Binocular Vision Model in Intelligent Vehicle System", Advanced Materials Research, Vols. 588-589, pp. 1333-1336, 2012