论文标题
传感器融合驱动器辅助系统的设计，以实现行人安全
Design of Sensor Fusion Driver Assistance System for Active Pedestrian Safety
论文作者
论文摘要
在本文中，我们为传感器融合检测系统提供了平行架构，该系统结合了相机和1D光检测和范围（LIDAR）传感器，以进行对象检测。该系统包含两种基于光流的对象检测方法，另一种是使用LIDAR。两个传感器可以有效地补充另一个传感器的缺陷。可以同时实现对象位置及其侧向运动信息的准确纵向精度。使用时空的对齐和传感器融合政策，我们完成了融合检测系统的开发，该系统在距离高达20 m时具有很高的可靠性。测试结果表明，所提出的系统在车辆前的行人或物体检测方面具有很高的准确性，并且对特殊环境具有很高的鲁棒性。
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.
