Machine-vision based preceding vehicle detection algorithm: A review

Onboard vehicle detection system is of great importance to reduce vehicle collision accident and increase the driving safety on road. It aims at detecting vehicles appearing around the ego vehicle using vehicle-mounted camera, so as to alert the driver about driving environments and possible collision with other vehicles. In this paper, we analyze the detail difficulties lying in the problem and review most of the literatures. A typical vehicle detection algorithm includes two steps: hypothesis generation and hypothesis verification. After a vehicle is detected, it´s tracked. This paper introduces the principle of typical methods of detection and tracking and analyzes their respective pros and cons. Finally, we propose some research directions in the future.