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Research on Recognition Methods of Bus Front Road Condition Based on Video

机译:基于视频的公交前方路况识别方法研究

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Among safe driving systems of intelligent transportation, the road recognition for bus driving, Especially for front road driving condition, becomes more and more important. Moreover, improving the road recognition of public transport vehicles can greatly improve safe driving performance as well as safety and comfort of passenger. Road before driving generally includes vehicle, pedestrians and suspected obstacles, which can be detected based on image technology intuitively and quickly. Based on video image processing technology, using imaging principles, this paper predicts the bus driving route of next moment, and calculates the minimum safe distance after making Canny edge improved algorithm. Coupling radar real-time detects for speed and distance of obstacles in front, the real-time monitoring of road front driving for bus is realized. Finally, the collision avoidance simulation verifies the correctness of this method, which has very broad application areas.
机译:在智能交通的安全驾驶系统中,用于公共汽车驾驶的道路识别,尤其是对于前方道路驾驶条件的道路识别,变得越来越重要。此外,提高公共交通工具的道路识别度可以极大地提高安全驾驶性能以及乘客的安全性和舒适性。驾驶前的道路通常包括车辆,行人和可疑的障碍物,这些障碍物可以基于图像技术直观,快速地检测到。基于视频图像处理技术,运用成像原理,对下一时刻的公交车行驶路线进行了预测,并在对Canny edge算法进行改进后,计算出最小的安全距离。耦合雷达实时检测前方障碍物的速度和距离,实现公交路前行驶的实时监控。最后,防撞仿真验证了该方法的正确性,具有广阔的应用领域。

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