Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety

TL;DR

This paper introduces a sensor fusion system combining camera and lidar data for active pedestrian safety, achieving high accuracy and robustness in object detection at up to 20 meters.

Contribution

It presents a novel parallel architecture integrating optical flow and lidar detection methods with sensor fusion for improved pedestrian detection.

Findings

High detection accuracy for pedestrians and objects

Effective sensor complementarity enhances reliability

Robust performance in challenging environments

Abstract

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.