RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments-Reference-Cited by-同舟云学术

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RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments

Published:2024-05-13 Issue: Volume: Page:3999-4005
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Chen Zhiqiang¹,Chen Hongbo¹,Qi Yuhua¹,Zhong Shipeng¹,Feng Dapeng¹,Wu Jin²,Wen Weisong³,Liu Ming²

Affiliation:

1. Sun Yatsen University,School of Systems Science and Engineering,Guangzhou,China,510006

2. Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong

3. Hong Kong Polytechnic University,Department of Aeronautical and Aviation Engineering,Hong Kong

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611074.pdf?arnumber=10611074

Reference34 articles.

1. LOAM: Lidar Odometry and Mapping in Real-time

2. Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban Environments

3. BALM: Bundle Adjustment for Lidar Mapping

4. Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

5. X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme Environments

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