MPC-MF: Multi-Point Cloud Map Fusion Based on Offline Global Optimization for Mobile Robots-Reference-Cited by-同舟云学术

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MPC-MF: Multi-Point Cloud Map Fusion Based on Offline Global Optimization for Mobile Robots

Published:2023-07-24 Issue: Volume: Page:
ISSN:
Container-title:2023 42nd Chinese Control Conference (CCC)
language:
Short-container-title:

Author:

Gao Haiming¹,Qiu Qibo¹,Zhang Shun¹,Hua Wei¹,Su Zhiyi¹,Zhang Xuebo²

Affiliation:

1. Research Center for Intelligent transportation, Zhejiang Lab,Hangzhou,P. R. China,311121

2. Institute of Robotics and Automatic Information System (IRAIS), Nankai University,Tianjin Key Laboratory of Intelligent Robotics (TJKLIR),Tianjin,P. R. China,300350

Funder

Zhejiang Provincial Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10239690/10239711/10239948.pdf?arnumber=10239948

Reference21 articles.

1. SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

2. Elastic and Efficient LiDAR Reconstruction for Large-Scale Exploration Tasks

3. EKF-LOAM: An Adaptive Fusion of LiDAR SLAM With Wheel Odometry and Inertial Data for Confined Spaces With Few Geometric Features

4. Robust LiDAR Localization on an HD Vector Map without a Separate Localization Layer

5. Fast Active Aerial Exploration for Traversable Path Finding of Ground Robots in Unknown Environments

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