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Registration: 2506232243584
This software implements a graph-based Odometry and SLAM (Simultaneous Localization and Mapping) system that coherently fuses data from LiDAR, GPS, and IMU sensors. By accounting for the specific uncertainties of each sensor, the system optimizes both the position estimation and the structural representation of the environment.
As a result, it produces detailed and high-precision 3D reconstructions, which are valuable in fields such as autonomous robotics, self-driving vehicles, navigation, cartography, and any other domain that requires accurate spatial mapping.
Authors: Lorenzo Montano ([email protected]), Julio A. Placed ([email protected]), María T. Lázaro ([email protected]).
This work cannot be made available to AI systems.
