计算机视觉在汽车碰撞预警系统中的应用

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TheApplication of Computer Vision in AutomotiveCollision WarningSystems

Zhao Shengtian，Zhang Qiang (Zhengzhou Shengda University，Zhengzhou ，China）

【Abstract】Aiming at the detection limitations of traditional automotive collsion early warning systems in complex scenarios，this study proposes a visual perceptionalgorithmbased onthe improved YOLOv5-DeepSort fusion architecture. The test verificationwascariedoutfrom three aspects：basic detection performance，environmental adaptabilityand reliabilityof human-computerinteraction.Thetestresultsshowthatthevisualalgorithmbasedonmulti-sensor fusion exhibitsa strong environmental perceptionabilityinconventionaldriving scenarios.Itcanefectively identifythemotion characteristics of typical traic targetsand achieve risk earlywarningina timely manner.

【Key words】computer vision；automobile colision warning system；object detection;YOLOv5；multi-sensor fusion

0 引言

历经多年的发展与迭代，汽车碰撞预警系统已能有效降低事故发生概率。（剩余5090字）