Error State Kalman Filter with Implicit Measurement Equations for Position Tracking of a Multi-Sensor System with IMU and LiDAR-Reference-Cited by-同舟云学术

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Error State Kalman Filter with Implicit Measurement Equations for Position Tracking of a Multi-Sensor System with IMU and LiDAR

Published:2023-09-25 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Indoor Positioning and Indoor Navigation (IPIN)
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Author:

Ernst Dominik¹,Vogel Sören¹,Neumann Ingo¹,Alkhatib Hamza¹

Affiliation:

1. Geodetic Institute Leibniz University Hannover,Hannover,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332456/10332213/10332480.pdf?arnumber=10332480

Reference29 articles.

1. Towards Integrity for GNSS-based urban navigation – challenges and lessons learned

2. Tightly-coupled GNSS-aided Visual-Inertial Localization

3. LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation

4. BALM: Bundle Adjustment for Lidar Mapping

5. COOPERATIVE IMAGE ORIENTATION CONSIDERING DYNAMIC OBJECTS

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system;Journal of Applied Geodesy;2024-05-22

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