地质灾害无人化应急救援运输投送装备自主性能及远程控制性能验证数据集

地质灾害无人化应急救援运输投送装备自主性能及远程控制验证数据集主要针对地质灾害灾后复杂环境下障碍物感知及装备自主行驶需求建设，基于危险越野路段以及正负障碍物识别与可行驶区域识别的目标，由第三方专业检测机构国家建筑城建机械质量监督检验中心专业检测人员与本课题组人员于2022年12月，在湖南省汨罗市粟山黄试验场采集获取，运用车载自主导航软件AB_UI、V-BOX、激光测距仪等设备仪器，经过现场读取与收集得到。主要记录了装备遥控距离、最小转弯半径、自主行驶有效感知性能、避障越障性能等性能指标数据，数据量32G。

Autonomous Performance and Remote Control Verification Dataset for Unmanned Emergency Rescue and Transportation Equipment in Geological Disasters is constructed to address the demands of obstacle perception and autonomous driving of equipment in complex post-disaster environments following geological disasters. Aiming at the tasks of recognizing dangerous off-road sections, positive/negative obstacles and drivable areas, the dataset was collected in December 2022 at the Sushanhuang Test Site in Miluo City, Hunan Province, by professional inspectors from the third-party professional testing institution National Quality Supervision and Inspection Center for Construction and Urban Construction Machinery and researchers from the research team. The data was obtained through on-site reading and collection using onboard autonomous navigation software including AB_UI, V-BOX, laser rangefinders and other equipment. It mainly records performance indicator data such as the remote control range of the equipment, minimum turning radius, effective sensing performance of autonomous driving, obstacle avoidance and obstacle crossing performance, with a total data volume of 32 GB.

搜集汇总

背景与挑战

背景概述

该数据集专注于地质灾害无人化应急救援领域，旨在验证运输投送装备在灾后复杂环境下的自主性能及远程控制性能。数据集基于2022年12月在湖南汨罗的实地测试采集，记录了装备的遥控距离、最小转弯半径、自主感知和避障越障等关键指标，数据量达32G，属于国家重点研发计划项目成果，为智能无人救援装备研发提供重要验证数据。