The Estimation of theoretical accuracy of mobile terrestrial LiDAR

Mobile Terrestrial LiDAR (Light Detecting And Ranging) (MTL) is a new technology adapted to increasing need of 3D geo-referenced data. The system requires an integration of laser scanners with other sensors of navigation such as GPS and INS and inertial measurement unit. This fusion allows direct georeferencing of point cloud data. As well as the practical accuracy, the theoretical accuracy of raw data also deals with the investors in the mobile mapping systems. This study evaluates the theoretical accuracy of point clouds produced by MTL system through the error propagation theory. The accuracy estimation implies a description of sensors integration, synchronization and calibration. In addition, this paper presents models of reference transformation. The results of this study show that the MTL data accuracy depends on several parameters. Among these parameters, the range is the most critical one.Le LiDAR Terrestre Mobile (LMT) est une nouvelle technologie adaptée au besoin croissant de données géoréférenciés 3D. Le système nécessite l'intégration des scanners laser avec d'autres capteurs de navigation tels que GPS et l’unité de mesure inertielle INS. Cette fusion permet le géoréférencement direct de nuages de points. Outre la précision pratique, la précision théorique des données brutes concerne également les investisseurs dans les systèmes de cartographie mobile. Cette étude évalue la précision théorique des nuages de points produits par le système à travers la théorie de propagation d'erreur. L'estimation de la précision implique une description de l'intégration, de la synchronisation et de la calibration des capteurs. En outre, cet article présente des modèles de transformation de référence. Les résultats de cette étude montrent que la précision des données LMT dépend de plusieurs paramètres. Parmi ces paramètres, nous retrouvons la distance système-objet qui est la plus influente

The Estimation of theoretical accuracy of mobile terrestrial LiDAR

Mobile Terrestrial LiDAR (Light Detecting And Ranging) (MTL) is a new technology adapted to increasing need of 3D geo-referenced data. The system requires an integration of laser scanners with other sensors of navigation such as GPS and INS and inertial measurement unit. This fusion allows direct georeferencing of point cloud data. As well as the practical accuracy, the theoretical accuracy of raw data also deals with the investors in the mobile mapping systems. This study evaluates the theoretical accuracy of point clouds produced by MTL system through the error propagation theory. The accuracy estimation implies a description of sensors integration, synchronization and calibration. In addition, this paper presents models of reference transformation. The results of this study show that the MTL data accuracy depends on several parameters. Among these parameters, the range is the most critical one