This dataset was gathered using a wheeled mobile robot in two distinct locations: predominantly textureless or dark corridors within a university campus and tunnels of an inactive underground site in Walim. The dataset comprises around 150 GB of raw data, including images captured by multiple co-calibrated monocular and stereo cameras, a thermal camera, 2 LiDARs, and 3 inertial measurement units. Furthermore, reliable ground truth point clouds were obtained using a survey-grade terrestrial laser scanner.
naukowcy
Dziedzina nauk inżynieryjno-technicznych / inżynieria środowiska, górnictwo i energetyka (2018)
MIN3D dataset: MultI-seNsor 3D mapping with an unmanned ground vehicle for mining applications
lidar
Dataset
mapping
Photogrammetry
Robotics
Mining
underground