Real‐time keypoints detection for autonomous recovery of the unmanned ground vehicle-Reference-Cited by-同舟云学术

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Real‐time keypoints detection for autonomous recovery of the unmanned ground vehicle

Published:2020-12 Issue:17 Volume:14 Page:4690-4700
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Li Jie¹^ORCID,Zhang Sheng¹^ORCID,Han Kai²^ORCID,Yuan Xia¹^ORCID,Zhao Chunxia¹,Liu Yu³

Affiliation:

1. School of Computer Science and EngineeringNanjing University of Science and TechnologyNanjing210094People's Republic of China

2. Department of Engineering ScienceUniversity of OxfordOxfordOX1 3PJUK

3. School of Computer ScienceThe University of Adelaide5005North TerraceSAAustralia

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2020.0864

Reference52 articles.

1. Dynamic wireless indoor localization incorporating with an autonomous mobile robot based on an adaptive signal model fingerprinting approach;Luo R.C.;IEEE Trans. Ind. Electron.,2018

2. Fuzzy logic based control for autonomous mobile robot navigation;Omrane H.;Comput. Intell. Neurosci.,2016

3. A survey of motion planning and control techniques for self‐driving urban vehicles;Paden B.;IEEE Trans. Intell. Veh.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical path planner combining probabilistic roadmap and deep deterministic policy gradient for unmanned ground vehicles with non-holonomic constraints;Journal of the Franklin Institute;2024-05

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