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首页> 外文会议>COTA international conference of transportation professionals >A Method of Real-Time Leading Vehicle Detection of Adaptive Cruise Control System on Curved Road Based on V2V
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A Method of Real-Time Leading Vehicle Detection of Adaptive Cruise Control System on Curved Road Based on V2V

机译：基于V2V的弯道自适应巡航控制系统实时引导车辆检测方法。

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摘要

Adaptive cruise control (ACC) systems can effectively reduce drivers' workload, improve vehicles' active safety, and make driving more comfortable. Real-time leading vehicle detection is one of the most important research tasks in the ACCs. The traditional leading vehicle detection methods based on radar or vision have many problems on curved roads, such as limited detection range, low real-time performance, poor adaptability to the environment, and so on. This paper proposes a method of real-time leading vehicle detection on curved roads based on the vehicle-to-vehicle (V2V) communication technique. We collect vehicle state information by equipment on-board and use V2V communication equipment to send, receive, and store this information. Moreover, one vehicle detection algorithm based on contact ratio of vehicle trajectory has been designed. The experimental results indicate that the method can meet the requirements of excellent accuracy, high real-time performance, and good adaptability to the environment.
机译：自适应巡航控制（ACC）系统可有效减少驾驶员的工作量，提高车辆的主动安全性，并使驾驶更加舒适。实时领先的车辆检测是ACC中最重要的研究任务之一。传统的基于雷达或视觉的领先车辆检测方法在弯道上存在很多问题，如检测范围有限，实时性差，对环境的适应性差等。提出了一种基于车对车（V2V）通信技术的弯道实时超前车辆检测方法。我们通过车载设备收集车辆状态信息，并使用V2V通信设备发送，接收和存储此信息。此外，设计了一种基于车辆轨迹接触率的车辆检测算法。实验结果表明，该方法可以满足精度高，实时性高，对环境适应性强的要求。

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