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Palabras clave – provistas por la editorial

LiDAR; RetinaNet; inception; Mobile Laser Scanning; point clouds; data fusion; Lidar; point cloud density; point cloud coverage; mobile mapping systems; 3D simulation; Pandar64; Ouster OS-1-64; mobile laser scanning; lever arm; boresight angles; plane-based calibration field; configuration analysis; accuracy; controllability; evaluation; control points; TLS reference point clouds; visual–inertial odometry; Helmert variance component estimation; line feature matching method; correlation coefficient; point and line features; mobile mapping; manhole cover; point cloud; F-CNN; transfer learning; CAM localization; loop closure detection; visual SLAM; semantic topology graph; graph matching; CNN features; deep learning; view planning; imaging network design; building 3D modelling; path planning; V-SLAM; real-time; guidance; embedded-systems; 3D surveying; exposure control; photogrammetry; parking statistics; vehicle detection; robot operating system; 3D camera; RGB-D; performance evaluation; convolutional neural networks; smart city; georeferencing; MSS; IEKF; DSIEKF; geometrical constraints; 6-DoF; DTM; 3D city model; dataset; laser scanning; 3D mapping; synthetic; outdoor; semantic; scene completion