Presentation
DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots
Author/s | Caballero Benítez, Fernando
Merino, Luis |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2021 |
Deposit Date | 2022-11-17 |
Published in |
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ISBN/ISSN | 978-166541714-3 2153-0858 |
Abstract | This paper presents DLL, a fast direct map-based
localization technique using 3D LIDAR for its application to
aerial robots. DLL implements a point cloud to map registration
based on non-linear optimization of the ... This paper presents DLL, a fast direct map-based localization technique using 3D LIDAR for its application to aerial robots. DLL implements a point cloud to map registration based on non-linear optimization of the distance of the points and the map, thus not requiring features, neither point correspondences. Given an initial pose, the method is able to track the pose of the robot by refining the predicted pose from odometry. Through benchmarks using real datasets and simulations, we show how the method performs much better than MonteCarlo localization methods and achieves comparable precision to other optimization-based approaches but running one order of magnitude faster. The method is also robust under odometric errors. The approach has been implemented under the Robot Operating System (ROS), and it is publicly available. |
Funding agencies | Ministerio de Ciencia, Innovación y Universidades (España) |
Project ID. | COMCISE RTI2018-100847-B-C22 |
Citation | Caballero Benítez, F. y Merino, L. (2021). DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots. En IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021 (5491-5498), Institute of Electrical and Electronics Engineers Inc.. |
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DLL, Direct LIDAR Localization. ... | 9.323Mb | [PDF] | View/ | |