Abstract

This paper surveys the developments of the last 10 years in the area of vision based target tracking for autonomous vehicles navigation. First, the motivations and existing applications of using vision based target tracking for autonomous vehicles navigation are discussed in the introduction section [1]. It can be concluded that it is very necessary to develop robust visual target tracking based navigation algorithms for the broad applications of autonomous vehicles [2]. Then this paper reviews the recent techniques in vision based target tracking for the applications of autonomous land vehicle navigation. Next the increasing trends of using data fusion for visual target tracking [3] based autonomous vehicles navigation are discussed. It is clear that through data fusion the tracking performance is improved and becomes more robust. Based on the reviews, the remaining research challenges are summarized and future research directions are investigated.

Keywords: Computer vision, autonomous vehicles, mobile robots, target tracking, navigation, sensor data fusion