Adaptive AEB Control Strategy for Collision Avoidance Including Rear Vehicles

Abstract

Autonomous Emergency Braking (AEB) is one of the active safety systems that prevent or mitigate collisions with front obstacles. Most previous studies on AEB systems have addressed methods for improving object detection accuracy and avoiding collisions with front obstacles. In this paper, we propose an AEB control strategy to prevent collision with a vehicle that is following in the rear, which may occur when autonomous emergency braking is performed to prevent collision with a front obstacle. The proposed algorithm adaptively calculates the deceleration that can prevent collision by predicting front and rear collisions. The collision prediction with rear vehicle is performed assuming a normal driver model. When a front collision with a obstacle is predicted, emergency braking is performed at a deceleration that can prevent rear collision, thereby preventing front and rear collision. In the computer simulation environment, the collision avoidance performance of the proposed algorithm was tested and compared with the conventional AEB system.