夜间车辆检测研究综述

Overview of vehicle detection at night

车辆检测算法研究是目前深度学习领域的重要问题之一,也是智能交通系统的重要应用。车辆检测算法的应用场景的不同也会遇到不同的问题和挑战,例如在夜间环境下的车辆检测相对于白天环境下更加困难。在夜间环境下,传统基于车灯信息的方法容易受限,在车辆图像清晰度降低,光照环境复杂的环境下效果不是很好。随着深度学习的发展,深度学习在夜间车辆检测方面的方法研究受到关注。文章对近些年来夜间车辆检测方法进行系统的总结和分析。

The research of vehicle detection algorithm is one of the important problems in the field of deep learning,and it is also an important application of intelligent transportation system.Different application scenarios of vehicle detection algorithms will also encounter different problems and challenges.For example,vehicle detection in night environment is more difficult than that in daytime environment.In the night environment,traditional methods are easy to be limited.For example,the headlampbased method is not effective in the environment where the vehicle image definition is reduced and the lighting environment is complex.With the development of deep learning,the research on the method of deep learning in vehicle detection at night has attracted attention.This paper systematically summarizes and analyzes the methods of vehicle detection at night in recent years.