面向车辆盲区防撞系统的交通目标智能检测

Intelligent Detection of Traffic Targets for Vehicle Blind Zone Collision Avoidance System

交通目标智能检测是车辆盲区智能防撞系统中的基础技术,该技术的研究和应用对降低交通事故损失具有重要意义。本文面向车辆盲区防撞系统设计的交通目标智能检测,其在基础模型中融合了两个性能提升策略。将该模型应用于国内和国外道路场景检测数据集,以验证模型在所有范围和近距离目标的检测性能。实验结果表明该模型可以对近距目标表现出较高的检测精度,且具有较高的检测速度,因此该模型可适用于车辆低速启动或者转弯时智能盲区防撞系统对交通目标的检测需求。

Intelligent detection of traffic targets is the basic technology in the intelligent collision avoidance system for vehicle blind spots. The research and application of this technology is of great significance to reduce the loss of traffic accidents. In this paper, a detection model for vehicle blind zone collision avoidance system design, which combines two performance improvement strategies in the basic model. The model is applied to domestic and foreign road scene detection data sets to verify the detection performance of the model in all ranges and short-range targets. Experimental results show that the model can show high detection accuracy for close targets and has a high detection speed. Therefore, the model can be applied to the detection requirements of the intelligent blind zone collision avoidance system for traffic targets when the vehicle starts at low speed or when turning.