GPS and Lidar Fusion Positioning Based on Unscented Kalman Filtering and Long Short-Term Memory Cosidering GPS Failure-Reference-Cited by-同舟云学术

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GPS and Lidar Fusion Positioning Based on Unscented Kalman Filtering and Long Short-Term Memory Cosidering GPS Failure

Published:2021-11-19 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE 4th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
language:
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Author:

Yang Zhe,Jing Hui,Kuang Bing,Zhong Shengshi,Qin Junji,Tong Yuwei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9668307/9668315/09668630.pdf?arnumber=9668630

Reference21 articles.

1. Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion

2. Low-drift and Real-time Lidar Odometry and Mapping;ji;Autonomous Robots,2017

3. UWB/LiDAR Fusion For Cooperative Range-Only SLAM

4. The normal distributions transform: a new approach to laser scan matching

5. Scan registration for autonomous mining vehicles using 3D-NDT

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