基于PSO-IGA算法的高性能十字阵列的设计与综合

前碰撞预警系统是安全辅助驾驶领域的一项重要部分，通过计算机处理交通环境信息，当检测到潜在危险时，及时提醒并辅助驾驶员。采用计算机视觉方法，通过目标检测和跟踪算法，获取图像中目标车辆的位置和轨迹信息，并利用相机标定，计算当前车辆和前方车辆在世界坐标系中的距离、速度及轨迹等信息，综合该信息，实现前车碰撞时间预警、前车并线预警以及非机动车预警算法。在前车并线过程中，利用轨迹信息实时检测前车并线意图，及时提示驾驶员注意避让前方车辆。实验表明，本文提出的预警算法具有较高的准确性和鲁棒性，特别在高架或高速道路场景下，并线预警算法能检测到前车的并线意图，及时预警。

Research on Video-Based Forward Merging and Collision Warning Algorithm

The forward collision warning system is an important part of the safety assisted driving field,the computer handles the traffic environment information and promptly reminds and assists the driver when a potential danger is detected.The computer vision method is used to obtain the position and trajectory information of the target vehicle in the image through the object detection and tracking algorithm,and the camera calibration is used to calculate the distance,velocity and trajectory of the current vehicle and the preceding vehicle in the world coordinate system.This information realizes the warnings of the preceding vehicle collision time,the preceding vehicle merging line and the non-motor vehicle.In the process of merging the preceding vehicles,the trajectory information is used to detect the intention of the preceding vehicles in real time,prompting the driver to avoid the vehicles in front.Experiments show that the proposed early warning algorithm has high accuracy and robustness.Especially in the elevated or high-speed road scene,the method of preceding vehicle merging line warning can detect the in-line intention of the preceding vehicle and timely warning.