Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments release_rllzigcqcvgezarpjyakroq7ya

by Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, Sebastian Scherer

References

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Showing 1 - 20 of 20 references (in 157ms)
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LOAM: Lidar Odometry and Mapping in Real-time
Ji Zhang, Sanjiv Singh
2014   Robotics: Science and Systems Conference
doi:10.15607/rss.2014.x.007  dblp:conf/rss/ZhangS14 
web.archive.org [PDF]
[b1]

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LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus
2020   2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  unpublished
doi:10.1109/iros45743.2020.9341176 
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A Robust Laser-Inertial Odometry and Mapping Method for Large-Scale Highway Environments
Shibo Zhao, Zheng Fang, HaoLai Li, Sebastian Scherer
2019   IEEE/RJS International Conference on Intelligent RObots and Systems
doi:10.1109/iros40897.2019.8967880  dblp:conf/iros/ZhaoFLS19 
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VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator
Tong Qin, Peiliang Li, Shaojie Shen
2018   IEEE Transactions on robotics
doi:10.1109/tro.2018.2853729 
web.archive.org [PDF]
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TP-TIO: A Robust Thermal-Inertial Odometry with Deep ThermalPoint
Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, Sebastian Scherer
2020   2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  unpublished
doi:10.1109/iros45743.2020.9341716 
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LIMO: Lidar-Monocular Visual Odometry
Johannes Graeter, Alexander Wilczynski, Martin Lauer
2018   IEEE/RJS International Conference on Intelligent RObots and Systems
doi:10.1109/iros.2018.8594394  dblp:conf/iros/GraterWL18 
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LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments [article]
Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden, Abhishek Thakur, Nobuhiro Funabiki, Benjamin Morrell (+ more)
2020    pre-print
version:v1  arXiv:2003.01744v1 
web.archive.org [PDF]
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LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time
Matteo Palieri, Benjamin Morrell, Abhishek Thakur, Kamak Ebadi, Jeremy Nash, Arghya Chatterjee, Christoforos Kanellakis, Luca Carlone (+ more)
2020   IEEE Robotics and Automation Letters
doi:10.1109/lra.2020.3044864 
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J. Zhang and S. Singh, "Laser-visual-inertial odometry and mapping with high robustness and low drift," Journal of Field Robotics, vol. 35, no. 8, pp. 1242-1264, 2018.
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Complementary Multi–Modal Sensor Fusion for Resilient Robot Pose Estimation in Subterranean Environments
Shehryar Khattak, Huan Nguyen, Frank Mascarich, Tung Dang, Kostas Alexis
2020   2020 International Conference on Unmanned Aircraft Systems (ICUAS)  unpublished
doi:10.1109/icuas48674.2020.9213865 
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Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World Scenarios
Marco Camurri, Milad Ramezani, Simona Nobili, Maurice Fallon
2020   Frontiers in Robotics and AI
doi:10.3389/frobt.2020.00068  pmcid:PMC7805780  pmid:33501235 
web.archive.org [PDF]
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Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps
Victor Reijgwart, Alexander Millane, Helen Oleynikova, Roland Siegwart, Cesar Cadena, Juan Nieto
2020   IEEE Robotics and Automation Letters
doi:10.1109/lra.2019.2953859 
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Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
Weizhao Shao, Srinivasan Vijayarangan, Cong Li, George Kantor
2019   IEEE/RJS International Conference on Intelligent RObots and Systems
doi:10.1109/iros40897.2019.8968012  dblp:conf/iros/ShaoVLK19 
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LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking
Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, Marc Pollefeys
2020   2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)  unpublished
doi:10.1109/iros45743.2020.9340704 
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A Multi-State Constraint Kalman Filter for Vision-aided Inertial Navigation
Anastasios I. Mourikis, Stergios I. Roumeliotis
2007   Engineering of Complex Computer Systems (ICECCS), Proceedings of the IEEE International Conference on
doi:10.1109/robot.2007.364024  dblp:conf/icra/MourikisR07 
web.archive.org [PDF]
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Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry
David Wisth, Marco Camurri, Sandipan Das, Maurice Fallon
2021   IEEE Robotics and Automation Letters
doi:10.1109/lra.2021.3056380 
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IMU preintegration on manifold for efficient visual-inertial maximum-a-posteriori estimation
Christian Forster, Luca Carlone, Frank Dellaert, Davide Scaramuzza
2015    unpublished
doi:10.5167/uzh-125445 
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T. Hackel, J. D. Wegner, and K. Schindler, "Fast semantic segmenta- tion of 3d point clouds with strongly varying density," ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, vol. 3, pp. 177-184, 2016.
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J. Behley, V. Steinhage, and A. B. Cremers, "Efficient Radius Neighbor Seach in Three-dimensional Point Clouds," in Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2015.
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Vanishing Point Aided LiDAR-Visual-Inertial Estimator
Peng Wang, Zheng Fang, Shibo Zhao, Yongnan Chen, Ming Zhou, Shan An
2021   2021 IEEE International Conference on Robotics and Automation (ICRA)  unpublished
doi:10.1109/icra48506.2021.9561087