自动驾驶货车队列感知数据集

包含车载激光雷达采集的三维激光点云数据，以及对部分数据进行障碍物标注，可支持基于激光点云的深度学习模型训练和验证，实现自动驾驶货车队列行驶过程中的场景重建。通过车载激光雷达和组合导航，在车辆行驶过程中采集数据，使用车端计算平台存储。数据量20.5GB

This dataset contains 3D LiDAR point cloud data collected via vehicle-mounted LiDAR, along with obstacle annotations for a subset of the collected data. It supports the training and validation of deep learning models based on LiDAR point clouds, and enables scene reconstruction during autonomous truck platooning operations. The data was acquired during vehicle driving via on-board LiDAR and integrated navigation systems, and stored on the vehicle-mounted computing platform. The total size of the dataset is 20.5 GB.

搜集汇总

背景与挑战

背景概述

自动驾驶货车队列感知数据集包含车载激光雷达采集的三维激光点云数据及部分障碍物标注，数据量为17.56GB，共91个文件，适用于基于激光点云的深度学习模型训练和验证，支持自动驾驶货车队列行驶场景重建。