High Precision Odometer and Mapping Algorithm Based on Multi Lidar Fusion

Author:

Guo PengORCID,Wang QingshanORCID,Cao ZhanORCID,Xia HaipengORCID

Publisher

Springer Nature Singapore

Reference17 articles.

1. Ji, Z., Singh, S.: Visual-lidar odometry and mapping: low-drift, robust, and fast. In: IEEE International Conference on Robotics and Automation (2015)

2. Zhang, J., Singh, S.: Low-drift and real-time lidar odometry and mapping. Auton. Robot. 41(2), 401–416 (2017)

3. Biber, P., Strasser, W.: IEEE 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453) - Las Vegas, Nevada, USA (Oct. 27–31, 2003). In: Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453) - The normal distributions transform: a new approach to laser scan matching. IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 2743–2748 (2003)

4. Magnusson, M., et al.: Automatic appearance-based loop detection from three-dimensional laser data using the normal distributions transform. J. Field Robot. 26(11–12), 892–914 (2010)

5. Niu, X., Liu, H., Yuan, J.: RGB-D indoor simultaneous location and mapping based on inliers tracking statistics. J. Phys. Conf. Ser. (2019)

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