RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement-Reference-Cited by-同舟云学术

RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement

Published:2023-05 Issue:5 Volume:8 Page:2991-2998
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Xu Zhenhua¹^ORCID,Liu Yuxuan¹^ORCID,Sun Yuxiang²^ORCID,Liu Ming¹^ORCID,Wang Lujia³^ORCID

Affiliation:

1. Hong Kong University of Science and Technology, Guangzhou, Guangdong, China

2. Department of Mechanical Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong

3. Hong Kong University of Science and Technology, Hong Kong, SAR, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Foshan-HKUST Project

Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/10073596/10093124.pdf?arnumber=10093124

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5. Sat2Graph: Road Graph Extraction Through Graph-Tensor Encoding

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