基于北斗的无人机群协同智能巡检装置测试数据集

基于北斗的无人机群协同智能巡检装置测试数据集主要面向道路及桥梁表面病害检测及边坡变形监测的需求建设，基于DJIM350，DJIM30T搭载自主研发前端AI云盒、RS-LiDAR-M1激光雷达以及无人机自带禅思P1可见光相机、禅思L2激光雷达产生，主要记录了纵向裂缝、横向裂缝、龟裂、修补、坑槽、混凝土裂缝、风化、剥落、外露钢筋及边坡表面三维点云；北斗结构设施表面三维监测数据，数据量7.14GB。This test dataset for BeiDou-enabled drone swarm collaborative intelligent inspection is developed for the demands of road and bridge surface defect detection and slope deformation monitoring. It is generated using DJIM350 and DJIM30T drones equipped with an independently developed front-end AI cloud box, RS-LiDAR-M1 LiDAR, as well as the drones' built-in Zenmuse P1 visible light camera and Zenmuse L2 LiDAR. The dataset primarily records longitudinal cracks, transverse cracks, alligator cracking, patching, potholes, concrete cracks, weathering, spalling, exposed reinforcing bars, 3D point clouds of slope surfaces, and 3D monitoring data of BeiDou-based structural facility surfaces, with a total data volume of 7.14 GB.

搜集汇总

背景与挑战

背景概述

该数据集面向道路桥梁表面病害检测与边坡变形监测需求，基于无人机搭载AI云盒、激光雷达和相机采集，包含裂缝、龟裂、坑槽等多种病害记录以及边坡三维点云和北斗监测数据，总数据量约7.14GB。