Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety
This addresses active pedestrian safety for automotive applications, but it is incremental as it builds on existing sensor fusion methods.
The paper tackles pedestrian safety by developing a sensor fusion system combining camera and lidar for object detection, achieving high reliability up to 20 meters with robust accuracy in various environments.
In this paper, we present a parallel architecture for a sensor fusion detection system that combines a camera and 1D light detection and ranging (lidar) sensor for object detection. The system contains two object detection methods, one based on an optical flow, and the other using lidar. The two sensors can effectively complement the defects of the other. The accurate longitudinal accuracy of the object's location and its lateral movement information can be achieved simultaneously. Using a spatio-temporal alignment and a policy of sensor fusion, we completed the development of a fusion detection system with high reliability at distances of up to 20 m. Test results show that the proposed system achieves a high level of accuracy for pedestrian or object detection in front of a vehicle, and has high robustness to special environments.