基于深度学习的车辆检测方法

摘要

针对一般道路行驶条件下无人驾驶汽车检测前方车辆问题,将车辆检测问题转化为图像中的目标检测,利用深度学习方法进行车辆目标检测.通过无人驾驶汽车采集真实的车辆图像数据,构建车辆检测训练数据集,用大量实验验证检测系统的可行性.该检测系统是一个端到端的检测系统,输入为无人驾驶汽车视觉系统的图像,输出为图像中的车辆的位置及类别.%Aiming at the detection problem of the vehicle in the general detection environment for self-driving cars, the vehicle detection is transformed into the object detection in the image, and the object detection algorithm based on deep learning is applied to the detection of the vehicle.A lot of experiments have been carried out to verify the validity of the detection system by building the image data set of the vehicle.The detection system is an end to end detection system, only needs to input images, which can quickly and accurately locate the position of the vehicle in the image and predict class probabilities.