FusedNet: End-to-End Mobile Robot Relocalization in Dynamic Large-Scale Scene-Reference-Cited by-同舟云学术

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FusedNet: End-to-End Mobile Robot Relocalization in Dynamic Large-Scale Scene

Published:2024-05 Issue:5 Volume:9 Page:4099-4105
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Chen Fang-xing¹^ORCID,Tang Yifan¹^ORCID,Tai Cong¹^ORCID,Liu Xue-ping¹^ORCID,Wu Xiang²^ORCID,Zhang Tao²^ORCID,Zeng Long¹^ORCID

Affiliation:

1. Department of Advanced Manufacturing, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

2. Shenzhen Pudu Technology Ltd., Shenzhen, China

Funder

Guangdong Natural Science Fund-General Programme

University Key Projects Stablely

Shenzhen Science and Technology Innovation Commission

Tsinghua-Pudu Joint Research Center of Intelligent Service Robots

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10474437/10457947.pdf?arnumber=10457947

Reference30 articles.

1. From structure-from-motion point clouds to fast location recognition

2. Fast image-based localization using direct 2D-to-3D matching

3. From Coarse to Fine: Robust Hierarchical Localization at Large Scale

4. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

5. Image-Based Localization Using Hourglass Networks

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