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Benchmarking the Localization Accuracy of 2D SLAM Algorithms on Mobile Robotic Platforms
Technical Paper
2020-01-1021
ISSN: 0148-7191, e-ISSN: 2688-3627
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Abstract
Simultaneous Localization and Mapping (SLAM) algorithms are extensively utilized within the field of autonomous navigation. In particular, numerous open-source Robot Operating System (ROS) based SLAM solutions, such as Gmapping, Hector, Cartographer etc., have simplified deployments in application. However, establishing the accuracy and precision of these ‘out-of-the-box’ SLAM algorithms is necessary for improving the accuracy and precision of further applications such as planning, navigation, controls. Existing benchmarking literature largely focused on validating SLAM algorithms based upon the quality of the generated maps. In this paper, however, we focus on examining the localization accuracy of existing 2-dimensional LiDAR based indoor SLAM algorithms. The fidelity of these implementations is compared against the OptiTrack motion capture system which is capable of tracking moving objects at sub-millimeter level precision. Finally, the error statistics for each of the algorithm was determined.
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Basu Thakur, M., Schmid, M., and Krovi, V., "Benchmarking the Localization Accuracy of 2D SLAM Algorithms on Mobile Robotic Platforms," SAE Technical Paper 2020-01-1021, 2020, https://doi.org/10.4271/2020-01-1021.Data Sets - Support Documents
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References
- Borenstein , J. , Everett , H.R. , Feng , L. , and Wehe , D. Mobile Robot Positioning: Sensors and Techniques Journal of Robotic Systems 14 4 231 249 1997
- Leonard , J. and Durrant-Whyte , H. Mobile Robot Localization by Tracking Geometric Beacons IEEE Transactions on Robotics and Automation 7 3 376 382 1991 10.1109/70.88147
- Cadena , C. , Carlone , L. , Carrillo , H. , Latif , Y. et al. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age IEEE Transactions on Robotics 32 6 1309 1332 2016 10.1109/TRO.2016.2624754
- Thrun , S. , Burgard , W. , and Fox , D. Probabilistic Robotics Cambridge, MA MIT Press 2005
- Quigley , M. , Conley , K. , Gerkey , B.P. , Faust , J. et al. ROS: An Open-Source Robot Operating System 2009 http://www.willowgarage.com/sites/default/files/icraoss09-ROS.pdf
- Santos , J. , Portugal , D. , and Rocha , R. An Evaluation of 2D SLAM Techniques Available in Robot Operating System IEEE International Symposium on Safety, Security, and Rescue Robotics 2013 10.1109/SSRR.2013.6719348
- NaturalPoint, Inc https://optitrack.com/products/prime-13/ Aug. 2019
- Pyo , Y.S. , Cho , H.C. , Jung , R.W. , and Lim , T.H. http://wiki.ros.org/Books/ROS_Robot_Programming_English Sep. 2019
- Filatov , A. , Filatov , A.Y. , Krinkin , K. , Chen , B. et al 2D SLAM Quality Evaluation Methods 21st Conference of Open Innovations Association (FRUCT) 2017 10.23919/FRUCT.2017.8250173
- Kummerle , R. , Steder , B. , Dornhege , C. , Ruhnke , M. et al. On Measuring the Accuracy of SLAM Algorithms Autonomous Robots 27 4 387 407 2009
- Krinkin , K. , Filatov , A. , Filatov , A.Y. , Huletski , A. et al. Evaluation of Modern Laser Based Indoor SLAM Algorithms Conference of Open Innovation Association, FRUCT 2018 10.23919/FRUCT.2018.8468263
- Grisetti , G. , Stachniss , C. , and Burgard , W. Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters IEEE Transactions on Robotics 23 1 34 46 2007 10.1109/TRO.2006.889486
- Grisetti , G. , Stachniss , C. , and Burgard , W. Improving Grid-Based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling Proceedings-IEEE International Conference on Robotics and Automation 2005 10.1109/ROBOT.2005.1570477
- Kohlbrecher , S. , Stryk , O. , Meyer , J. , and Klingauf , U. A Flexible and Scalable SLAM System with Full 3D Motion Estimation 9th IEEE International Symposium on Safety, Security, and Rescue Robotics 2011 10.1109/SSRR.2011.6106777
- Hess , W. , Kohler , D. , Rapp , H. , and Andor , D. Real-Time Loop Closure in 2D LIDAR SLAM IEEE International Conference on Robotics and Automation 2016 10.1109/ICRA.2016.7487258
- Agarwal , S. and Mierle , K. http://ceres-solver.org Oct. 2019