Accurate Distance Estimation of a Preceding Vehicle Using High-speed Stereo Video Images

Abstract

In this paper, we investigate the effectiveness of using high-speed video images for accurately estimating the distance of a preceding vehicle. Using image information with high temporal density, we expect that more accurate estimation becomes possible. The relative distance of the preceding vehicle is estimated using a particle filter. By taking a weighted average of estimated states of many particles, accurate distance estimation which exceeds the limit due to image resolution is possible. We measured the RMSEs of the relative distance of a preceding vehicle by using artificially-generated video images with different frame rates. The results showed that as the frame rate becomes higher, the estimation accuracy also becomes higher.