Abstract: Mobile LiDAR platforms for vehicle tracking are provided. In various embodiments, a time-series of point clouds is received from a LiDAR sensor. Each point cloud of the time series of point clouds is projected onto a plane. The projected point clouds are provided to a convolutional neural network. At least one bounding box of a vehicle within each of the projected point clouds is received from the convolutional neural network. A relative speed of the vehicle is determined from the bounding boxes with the projected point clouds. A reference speed of the LiDAR sensor is determined from the GPS receiver. From the relative speed and the reference speed, an absolute speed of the vehicle is determined.

Abstract: Mobile LiDAR platforms for vehicle tracking are provided. In various embodiments, a time-series of point clouds is received from a LiDAR sensor. Each point cloud of the time series of point clouds is projected onto a plane. The projected point clouds are provided to a convolutional neural network. At least one bounding box of a vehicle within each of the projected point clouds is received from the convolutional neural network. A relative speed of the vehicle is determined from the bounding boxes with the projected point clouds. A reference speed of the LiDAR sensor is determined from the GPS receiver. From the relative speed and the reference speed, an absolute speed of the vehicle is determined.