FAST-LIO: A Fast, Robust LiDAR-inertial Odometry Package by Tightly-Coupled Iterated Kalman Filter

P. J. Besl and N. D. McKay, “Method for registration of 3-d shapes,” in Sensor fusion IV: control paradigms and data structures , vol. 1611. International Society for Optics and Photonics, 1992, pp. 586–606

1992

Earlier work this paper cites.

F. Bullo and R. M. Murray, “Proportional derivative (pd) control on the euclidean group,” in European control conference , vol. 2, 1995, pp. 1091–1097

1995

Earlier work this paper cites.

N. J. Higham, Accuracy and stability of numerical algorithms . SIAM, 2002

2002

Earlier work this paper cites.

A. Segal, D. Haehnel, and S. Thrun, “Generalized-icp.” in Robotics: science and systems , vol. 2, no. 4. Seattle, WA, 2009, p. 435

2009

Earlier work this paper cites.

J. A. Hesch, F. M. Mirzaei, G. L. Mariottini, and S. I. Roumeliotis, “A laser-aided inertial navigation system (l-ins) for human localization in unknown indoor environments,” in 2010 IEEE International Conference on Robotics and Automation . IEEE, 2010, pp. 5376–5382

2010

Earlier work this paper cites.

A. Bry, A. Bachrach, and N. Roy, “State estimation for aggressive flight in gps-denied environments using onboard sensing,” in 2012 IEEE International Conference on Robotics and Automation . IEEE, 2012, pp. 1–8

2012

Earlier work this paper cites.

C. Hertzberg, R. Wagner, U. Frese, and L. Schröder, “Integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds,” Information Fusion , vol. 14, no. 1, pp. 57–77, 2013

2013

Earlier work this paper cites.

C. Forster, M. Pizzoli, and D. Scaramuzza, “Svo: Fast semi-direct monocular visual odometry,” in 2014 IEEE international conference on robotics and automation (ICRA) . IEEE, 2014, pp. 15–22

2014

Earlier work this paper cites.

J. Zhang and S. Singh, “Loam: Lidar odometry and mapping in real-time.” in Robotics: Science and Systems , vol. 2, no. 9, 2014

2014

Earlier work this paper cites.

Z. Cheng, D. Liu, Y. Yang, T. Ling, X. Chen, L. Zhang, J. Bai, Y. Shen, L. Miao, and W. Huang, “Practical phase unwrapping of interferometric fringes based on unscented kalman filter technique,” Optics express , vol. 23, no. 25, pp. 32 337–32 349, 2015

2015

Cited alongside, same era.

Y. Balazadegan Sarvrood, S. Hosseinyalamdary, and Y. Gao, “Visual-lidar odometry aided by reduced imu,” ISPRS international journal of geo-information , vol. 5, no. 1, p. 3, 2016

2016

Cited alongside, same era.

C. Forster, L. Carlone, F. Dellaert, and D. Scaramuzza, “On-manifold preintegration for real-time visual–inertial odometry,” IEEE Transactions on Robotics , vol. 33, no. 1, pp. 1–21, 2016

2016

Cited alongside, same era.

W. Zhen, S. Zeng, and S. Soberer, “Robust localization and localizability estimation with a rotating laser scanner,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2017, pp. 6240–6245

2017

Cited alongside, same era.

M. Hsiao, E. Westman, and M. Kaess, “Dense planar-inertial slam with structural constraints,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2018, pp. 6521–6528

2018

Later among the works it cites.

X. Zuo, P. Geneva, W. Lee, Y. Liu, and G. Huang, “Lic-fusion: Lidar-inertial-camera odometry,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2019, pp. 5848–5854

2019

Later among the works it cites.

H. Ye, Y. Chen, and M. Liu, “Tightly coupled 3d lidar inertial odometry and mapping,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 3144–3150

2019

Later among the works it cites.

M. Raitoharju and R. Piché, “On computational complexity reduction methods for kalman filter extensions,” IEEE Aerospace and Electronic Systems Magazine , vol. 34, no. 10, pp. 2–19, 2019

2019

Later among the works it cites.