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Simultaneous localization and mapping (SLAM) is a fundamental task for numerous applications such as autonomous navigation and exploration.
Direct lidar odometry: Fast localization with dense point clouds
Kenny Chen, Brett T. Lopez, Ali-akbar Agha-mohammadi, and Ankur Mehta · 2007
Earlier work this paper cites.
Analysis and modeling of inertial sensors using allan variance
Naser El-Sheimy, Haiying Hou, and Xiaoji Niu · 2008
Earlier work this paper cites.
Generalized-icp
Aleksandr Segal, Dirk Haehnel, and Sebastian Thrun · 2009
Earlier work this paper cites.
The utias multi-robot cooperative localization and mapping dataset
Keith YK Leung, Yoni Halpern, Timothy D Barfoot, and Hugh HT Liu · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? The KITTI Vision Benchmark Suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
Earlier work this paper cites.
A benchmark for the evaluation of rgb-d slam systems
J. Sturm, N. Engelhard, F. Endres, W. Burgard, and D. Cremers · 2012
Earlier work this paper cites.
Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
Earlier work this paper cites.
The EuRoC micro aerial vehicle datasets
Michael Burri, Janosch Nikolic, Pascal Gohl, Thomas Schneider, Joern Rehder, Sammy Omari, Markus W Achtelik, and Roland Siegwart · 2016
Earlier work this paper cites.
University of michigan north campus long-term vision and lidar dataset
Nicholas Carlevaris-Bianco, Arash K Ushani, and Ryan M Eustice · 2016
Earlier work this paper cites.
Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
Earlier work this paper cites.
Extending kalibr: Calibrating the extrinsics of multiple imus and of individual axes
Joern Rehder, Janosch Nikolic, Thomas Schneider, Timo Hinzmann, and Roland Siegwart · 2016
Earlier work this paper cites.
Factor graphs for robot perception
Frank Dellaert, Michael Kaess, et al · 2017
Earlier work this paper cites.
Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
Earlier work this paper cites.
1 year, 1000 km: The oxford robotcar dataset
Will Maddern, Geoffrey Pascoe, Chris Linegar, and Paul Newman · 2017
Earlier work this paper cites.
The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and slam
Elias Mueggler, Henri Rebecq, Guillermo Gallego, Tobi Delbruck, and Davide Scaramuzza · 2017
Earlier work this paper cites.
Penncosyvio: A challenging visual inertial odometry benchmark
Bernd Pfrommer, Nitin Sanket, Kostas Daniilidis, and Jonas Cleveland · 2017
Earlier work this paper cites.
A ros package tool to analyze the imu performance, 2018
Wenliang Gao · 2018
Earlier work this paper cites.
Scan context: Egocentric spatial descriptor for place recognition within 3d point cloud map
Giseop Kim and Ayoung Kim · 2018
Cited alongside, same era.
Continuous-time visual-inertial odometry for event cameras
Elias Mueggler, Guillermo Gallego, Henri Rebecq, and Davide Scaramuzza · 2018
Cited alongside, same era.
Vins-mono: A robust and versatile monocular visual-inertial state estimator
Tong Qin, Peiliang Li, and Shaojie Shen · 2018
Cited alongside, same era.
The tum vi benchmark for evaluating visual-inertial odometry
David Schubert, Thore Goll, Nikolaus Demmel, Vladyslav Usenko, Jörg Stückler, and Daniel Cremers · 2018
Cited alongside, same era.
Are we ready for autonomous drone racing? the UZH-FPV drone racing dataset
Jeffrey Delmerico, Titus Cieslewski, Henri Rebecq, Matthias Faessler, and Davide Scaramuzza · 2019
Cited alongside, same era.
Super odometry: Imu-centric lidar-visual-inertial estimator for challenging environments
Shibo Zhao, Hengrui Zhang, Peng Wang, Lucas Nogueira, and Sebastian Scherer · 2021
Later among the works it cites.
Faster-lio: Lightweight tightly coupled lidar-inertial odometry using parallel sparse incremental voxels
Chunge Bai, Tao Xiao, Yajie Chen, Haoqian Wang, Fang Zhang, and Xiang Gao · 2022
Later among the works it cites.
S3e: A large-scale multimodal dataset for collaborative slam
Dapeng Feng, Yuhua Qi, Shipeng Zhong, Zhiqiang Chen, Yudu Jiao, Qiming Chen, Tao Jiang, and Hongbo Chen · 2022
Later among the works it cites.
The hilti slam challenge dataset
Michael Helmberger, Kristian Morin, Beda Berner, Nitish Kumar, Giovanni Cioffi, and Davide Scaramuzza · 2022
Later among the works it cites.
Vivid++: Vision for visibility dataset
Alex Junho Lee, Younggun Cho, Young-sik Shin, Ayoung Kim, and Hyun Myung · 2022
Later among the works it cites.
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Rodolphe Dubois, Alexandre Eudes, and Vincent Frémont · 2020
Cited alongside, same era.
The newer college dataset: Handheld lidar, inertial and vision with ground truth
Milad Ramezani, Yiduo Wang, Marco Camurri, David Wisth, Matias Mattamala, and Maurice Fallon · 2020
Cited alongside, same era.
Lio-sam: Tightly-coupled lidar inertial odometry via smoothing and mapping
Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, and Rus Daniela · 2020
Cited alongside, same era.
Tartanair: A dataset to push the limits of visual SLAM
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, and Sebastian Scherer · 2020
Cited alongside, same era.
4Seasons: A cross-season dataset for multi-weather SLAM in autonomous driving
P. Wenzel, R. Wang, N. Yang, Q. Cheng, Q. Khan, L. von Stumberg, N. Zeller, and D. Cremers · 2020
Cited alongside, same era.
Tp-tio: A robust thermal-inertial odometry with deep thermalpoint
Shibo Zhao, Peng Wang, Hengrui Zhang, Zheng Fang, and Sebastian Scherer · 2020
Cited alongside, same era.
The uma-vi dataset: Visual–inertial odometry in low-textured and dynamic illumination environments
David Zuñiga-Noël, Alberto Jaenal, Ruben Gomez-Ojeda, and Javier Gonzalez-Jimenez · 2020
Cited alongside, same era.
A single correspondence is enough: Robust global registration to avoid degeneracy in urban environments
Hyungtae Lim, Suyong Yeon, Suyong Ryu, Yonghan Lee, Youngji Kim, Jaeseong Yun, Euigon Jung, Donghwan Lee, and Hyun Myung · 2022
Later among the works it cites.
Resilient and modular subterranean exploration with a team of roving and flying robots
Sebastian Scherer, Vasu Agrawal, Graeme Best, Chao Cao, Katarina Cujic, R Darnley, R DeBortoli, E Dexheimer, B Drozd, R Garg, et al · 2022
Later among the works it cites.
M3ed: Multi-robot, multi-sensor, multi-environment event dataset
Kenneth Chaney, Fernando Cladera, Ziyun Wang, Anthony Bisulco, M Ani Hsieh, Christopher Korpela, Vijay Kumar, Camillo J Taylor, and Kostas Daniilidis · 2023
Closest in time.
Point-lio: Robust high-bandwidth light detection and ranging inertial odometry
Dongjiao He, Wei Xu, Nan Chen, Fanze Kong, Chongjian Yuan, and Fu Zhang · 2023
Closest in time.
Breaking of brightness consistency in optical flow with a lightweight cnn network, 2023
Yicheng Lin, Shuo Wang, Yunlong Jiang, and Bin Han · 2023
Closest in time.
Efficient and consistent bundle adjustment on lidar point clouds
Zheng Liu, Xiyuan Liu, and Fu Zhang · 2023
Closest in time.
Vr-slam: A visual-range simultaneous localization and mapping system using monocular camera and ultra-wideband sensors, 2023
Thien Hoang Nguyen, Shenghai Yuan, and Lihua Xie · 2023
Closest in time.
Dvi-slam: A dual visual inertial slam network, 2023
Xiongfeng Peng, Zhihua Liu, Weiming Li, Ping Tan, SoonYong Cho, and Qiang Wang · 2023
Closest in time.
Resilient and distributed multi-robot visual slam: Datasets, experiments, and lessons learned
Yulun Tian, Yun Chang, Long Quang, Arthur Schang, Carlos Nieto-Granda, Jonathan P How, and Luca Carlone · 2023
Closest in time.
Kiss-icp: In defense of point-to-point icp–simple, accurate, and robust registration if done the right way
Ignacio Vizzo, Tiziano Guadagnino, Benedikt Mersch, Louis Wiesmann, Jens Behley, and Cyrill Stachniss · 2023
Closest in time.
PyPose: A library for robot learning with physics-based optimization
Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, and Sebastian Scherer · 2023
Closest in time.
Fast-lio2: Fast direct lidar-inertial odometry
Wei Xu, Yixi Cai, Dongjiao He, Jiarong Lin, and Fu Zhang · 2073
Closest in time.