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Long-Distance Vehicle Detection Algorithm at Night for Driving Assistance

机译:夜间远程驾驶辅助车辆检测算法

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In recent years, the Advanced Driver Assistance System (ADAS) system has received increasing attention. In the ADAS field, front vehicle detection is a popular technology. With this technology, we can alert drivers to avoid unnecessary collisions and accidents. Nighttime vehicle detection is indispensable. The spirit and attention of people at night will fall, and it will make the warning system more important. How to accurately detect vehicles in the night has become an important issue. At night, the headlights have a stronger feature than the vehicle contours, and have a better effect for vehicle detection. This paper uses a single camera and uses the lights as a method of night vehicle detection. And use RCCC camera to enhance image quality and improve the success rate of detection.
机译:近年来,高级驾驶员辅助系统(ADAS)系统受到越来越多的关注。在ADAS领域,前车检测是一种流行的技术。借助这项技术,我们可以提醒驾驶员避免不必要的碰撞和事故。夜间车辆检测是必不可少的。晚上人们的精神和注意力将下降,这将使警告系统更加重要。如何在夜间准确检测车辆已成为一个重要问题。在晚上,前灯的特征比车辆轮廓更强,并且对车辆的检测效果更好。本文使用单个摄像机,并使用灯光作为夜间车辆检测的方法。并使用RCCC摄像机来增强图像质量并提高检测成功率。

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