Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines-Reference-Cited by-同舟云学术

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Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines

Published:2023 Issue: Volume: Page:1-21
ISSN:2691-4581
Container-title:IEEE Transactions on Artificial Intelligence
language:
Short-container-title:IEEE Trans. Artif. Intell.

Author:

Álvarez-Tuñón Olaya¹^ORCID,Brodskiy Yury²,Kayacan Erdal³^ORCID

Affiliation:

1. Artificial Intelligence in Robotics Laboratory (AiRLab), the Department of Electrical and Computer Engineering, Aarhus University, Aarhus C, Denmark

2. EIVA a/s, Skanderborg, Denmark

3. Automatic Control Group (RAT), Paderborn University, Paderborn, Germany

Funder

European Union's EU Framework Programme for Research and Innovation Horizon

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Artificial Intelligence

Link

http://xplorestaging.ieee.org/ielx7/9078688/9184921/10268057.pdf?arnumber=10268057

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1. A review of SLAM techniques and applications in unmanned aerial vehicles;Journal of Physics: Conference Series;2024-07-01

2. A Review of Underwater Robot Localization in Confined Spaces;Journal of Marine Science and Engineering;2024-02-28

3. UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework;2023 21st International Conference on Advanced Robotics (ICAR);2023-12-05

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