Evaluation of compression algorithms for automotive stereo matching

Automotive stereo-based camera systems are at the focus of new vehicle functions development. Advantageous interconnections between automotive cameras and electronic control units are possible using IP-based technology in the vehicles. Because automotive implementation of this technology allows only limited data rates camera stream compression is necessary to transmit over such a medium. The image processing algorithms can be applied after a decompressing of the camera streams. This paper introduces a method for comparing the impact of different image compression algorithms on automotive stereo algorithms. We propose a comparison metric based on disparity error to compare the effects as a function of image compression algorithms, compression ratio and vehicle velocity.