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Palabras clave – provistas por la editorial

LRF; smartphone; unmanned vehicle; sensor fusion; 2D laser scanner; semantic enrichment; Vitis vinifera; indoor scenes; terrestrial laser scanning; vine size; quadric fitting; multi-group-step L-M optimization; grammar; MLS; indoor topological localization; trajectory fusion; second order hidden Markov model; room type tagging; fingerprinting; restoration; laser scanning; map management; Lidar localization system; point clouds; binary vocabulary; self-calibration; 3D processing; cultural heritage; encoder; category matching; indoor mapping; convolutional neural network (CNN); tunnel cross section; visual positioning; enhanced RANSAC; segmentation-based feature extraction; image retrieval; handheld; crowdsourcing trajectory; visual landmark sequence; indoor localization; mobile mapping; rapid relocation; sensors configurations; precision agriculture; 3D digitalization; mobile laser scanning; robust statistical analysis; plant vigor; motion estimation; visual simultaneous localization and mapping; dynamic environment; Bayesian inference; automated database construction; portable mobile mapping system; SLAM; small-scale vocabulary; ORB-SLAM2; LiDAR; IMMS; point cloud; optical sensors; tunnel central axis; constrained nonlinear least-squares problem; 3D point clouds; wearable mobile laser system; geometric features; 2D laser range-finder; RGB-D camera; OctoMap