Time-Efficient Autonomous Exploration in Unknown Environment by Multirepresentation Strategy-Reference-Cited by-同舟云学术

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Time-Efficient Autonomous Exploration in Unknown Environment by Multirepresentation Strategy

Published:2024-09-01 Issue:17 Volume:24 Page:28427-28440
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yu Minghao¹,Zhou Jian²^ORCID,Tang Youchen²^ORCID,Xiao Jinsheng¹^ORCID,Luo Man³,Zhou Baoding⁴^ORCID

Affiliation:

1. School of Electronic Information, Wuhan University, Wuhan, China

2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China

3. Dongfeng USharing Technology Company, Wuhan, China

4. College of Civil and Transportation Engineering and the Institute of Urban Smart Transportation and Safety Maintenance, Shenzhen University, Shenzhen, China

Funder

National Natural Science Foundation of China

Major Program of Hubei Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10660640/10609341.pdf?arnumber=10609341

Reference48 articles.

1. CAMs-SLAM: Cloud-based Multi-submap VSLAM for Multi-source Asynchronous Sensing of Biped Climbing Robots

2. A Robust Visual–Inertial SLAM in Complex Indoor Environments

3. Improved TOA Estimation Method for Acoustic Ranging in a Reverberant Environment

4. Precise, Low-Cost, and Large-Scale Indoor Positioning System Based on Audio Dual-Chirp Signals

5. Neural Network-Based Recent Research Developments in SLAM for Autonomous Ground Vehicles: A Review

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