Unstructured Environment Obstacle Avoidance Driving Human Manipulation Dataset

The operator controls the vehicle to drive in the environment with dense distribution of obstacles, collects the spatial environment data through LIDAR and camera in the process of driving, and then processes the exercisable area map according to the change of longitudinal gradient, which is used to display the distribution of exercisable area in the current driving space of the vehicle, and then carries out the research of humanoid driving according to the distribution of the exercisable area and the data of driving behaviors.

操作人员操控车辆在障碍物密集分布的环境中行驶，行驶过程中通过激光雷达（LIDAR）与相机采集空间环境数据；随后依据纵向坡度变化处理得到可通行区域地图，该地图用于展示车辆当前行驶空间内的可通行区域分布情况；最后结合可通行区域分布与驾驶行为数据，开展仿人驾驶相关研究。

搜集汇总

背景与挑战

背景概述

该数据集专注于非结构化环境中的障碍物避障驾驶人类操作研究，包含通过激光雷达和摄像头收集的密集障碍物环境下的空间环境数据以及人体机动轨迹信息。数据集用于分析可行驶区域分布和驾驶行为，支持类人驾驶控制算法的开发，且数据相对易于使用。