Overtaking Vehicle Detection Based on Deep Learning and Headlight Recognition

This study uses recorded images to detect overtaking vehicles for driving safety. The proposed method is divided into daytime and nighttime overtaking vehicle detection. When the daytime is full of light, the region-based convolutional neural networks (RCNN) is used to identify and track vehicles. However, due to the lack of light during the nighttime, the headlights are used for vehicle identification and tracking. When the detected position and driving direction of the vehicle satisfy the overtaking condition, the driver can be immediately warned that there will be an overtaking vehicle. In the experiment, the accuracy of the overtaking vehicle detection (precision) can reach more than 90%.