LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lid...
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Veröffentlicht in: | IEEE robotics and automation letters 2021-04, Vol.6 (2), p.421-428 |
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creator | Palieri, Matteo Morrell, Benjamin Thakur, Abhishek Ebadi, Kamak Nash, Jeremy Chatterjee, Arghya Kanellakis, Christoforos Carlone, Luca Guaragnella, Cataldo Agha-mohammadi, Ali-akbar |
description | A reliable odometry source is a prerequisite to enable complex autonomy behaviour in next-generation robots operating in extreme environments. In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge. |
doi_str_mv | 10.1109/LRA.2020.3044864 |
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In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. We then demonstrate real-time performance of LOCUS on various types of robotic mobility platforms involved in the autonomous exploration of the Satsop power plant in Elma, WA where the proposed system was a key element of the CoSTAR team's solution that won first place in the Urban Circuit of the DARPA Subterranean Challenge.</description><identifier>ISSN: 2377-3766</identifier><identifier>EISSN: 2377-3766</identifier><identifier>DOI: 10.1109/LRA.2020.3044864</identifier><identifier>CODEN: IRALC6</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Agricultural robots ; Autonomous exploration ; Autonomy ; Circuits ; Consistent operation ; Electric power generation ; Extreme environments ; Lidar ; Localization ; Localization accuracy ; Loci ; mapping ; Mobile robots ; Next generation robots ; Optical radar ; Path planning ; Performance evaluation ; Real time operation ; Real time performance ; Real-time systems ; Robotic mobility platforms ; Robotics and Artificial Intelligence ; robotics in hazardous fields ; Robotik och artificiell intelligens ; Sensor fusion ; Sensors ; Simultaneous localization and mapping ; SLAM ; State-of-the-art techniques</subject><ispartof>IEEE robotics and automation letters, 2021-04, Vol.6 (2), p.421-428</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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In this work, we present a high-precision lidar odometry system to achieve robust and real-time operation under challenging perceptual conditions. LOCUS (Lidar Odometry for Consistent operation in Uncertain Settings), provides an accurate multi-stage scan matching unit equipped with an health-aware sensor integration module for seamless fusion of additional sensing modalities. We evaluate the performance of the proposed system against state-of-the-art techniques in perceptually challenging environments, and demonstrate top-class localization accuracy along with substantial improvements in robustness to sensor failures. 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subjects | Agricultural robots Autonomous exploration Autonomy Circuits Consistent operation Electric power generation Extreme environments Lidar Localization Localization accuracy Loci mapping Mobile robots Next generation robots Optical radar Path planning Performance evaluation Real time operation Real time performance Real-time systems Robotic mobility platforms Robotics and Artificial Intelligence robotics in hazardous fields Robotik och artificiell intelligens Sensor fusion Sensors Simultaneous localization and mapping SLAM State-of-the-art techniques |
title | LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time |
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