Multi-height Visual Drone Positioning Based on LSTM and Convolutional Neural Networks-Reference-Cited by-同舟云学术

Multi-height Visual Drone Positioning Based on LSTM and Convolutional Neural Networks

Published:2023-12-14 Issue: Volume:7 Page:348-353
ISSN:
Container-title:Proceedings of the 2023 9th International Conference on Communication and Information Processing
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Author:

He Qibin¹^ORCID,Wang Yapeng¹^ORCID,Yang Xu¹^ORCID,Im Sio-Kei²^ORCID

Affiliation:

1. Faculty of Applied Sciences, Macao Polytechnic University, Macao

2. Macao Polytechnic University, Macao

Funder

Macao Polytechnic University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3638884.3638938

Reference26 articles.

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3. Template matching based on convolution neural network for UAV visual localization

4. Andy Couturier and Moulay Akhloufi. 2020. Conditional probabilistic relative visual localization for unmanned aerial vehicles. In 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). IEEE, 1–4. https://ieeexplore.ieee.org/abstract/document/9255691/

5. Andy Couturier and Moulay A. Akhloufi. 2018. Relative visual localization (RVL) for UAV navigation. In Degraded Environments: Sensing, Processing, and Display 2018, Vol. 10642. SPIE, 213–226. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10642/106420O/Relative-visual-localization-RVL-for-UAV-navigation/10.1117/12.2304901.short