Vehicle-Lane-Detection_Tracking:车辆和车道线检测与跟踪

上传者: 42121086 | 上传时间: 2024-01-12 15:30:28 | 文件大小: 472MB | 文件类型: ZIP
车辆和车道线检测与跟踪 固态硬盘 Yolo3 神经网络 概述 将车道发现和车辆检测项目结合在一起。 添加汽车类别以跟踪检测到的车辆的位置(边界框)和历史记录。 沿摄像机方向覆盖车道的鸟瞰图的透视变换用于测量摄像机的x和y位移。 给出了使用SSD,Yolo3和Mask R-CNN模型的结果。 以米为单位的相对距离(dx,dy)显示在检测到的汽车的边界框上方。 边界框下方显示了以公里/小时为单位的相对速度(vx,vy)。 视频的左上方还提供了缩略图以及检测到的车辆的距离/速度。 车辆按照边框的大小按降序排序。 数据集 项目数据集由Udacity提供。 它分为和。 该数据集是KITTI视觉基准套件和GTI车辆图像数据库的组合。 GTI车辆图像分为远,左,右,中间关闭。 这些是汽车和非汽车的示例: 奇蒂 GTI远 GTI关闭 GTI左 GTI权利 非汽车1 非汽车2 非汽车3

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