Accurate and Robust Visual Localization System in Large-Scale Appearance-Changing Environments-Reference-Cited by-同舟云学术

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Accurate and Robust Visual Localization System in Large-Scale Appearance-Changing Environments

Published:2022-12 Issue:6 Volume:27 Page:5222-5232
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Yu Yang¹^ORCID,Yun Peng¹^ORCID,Xue Bohuan¹,Jiao Jianhao¹^ORCID,Fan Rui²^ORCID,Liu Ming³^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong

2. Department of Control Science and Engineering, Tongji University, Shanghai, China

3. Department of Electrical and Computer Engineering, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

Zhongshan Science and Technology Bureau Fund

Foshan-HKUST

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/3516/9985402/09788021.pdf?arnumber=9788021

Reference45 articles.

1. BRIEF: Binary Robust Independent Elementary Features

2. EPnP: An Accurate O(n) Solution to the PnP Problem

3. An empirical evaluation of deep learning on highway driving;huval;CoRR,2015

4. Fully convolutional networks for semantic segmentation

5. Learning to Refine Object Segments

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