PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction-Reference-Cited by-同舟云学术

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PredRecon: A Prediction-boosted Planning Framework for Fast and High-quality Autonomous Aerial Reconstruction

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Feng Chen¹,Li Haojia¹,Gao Fei²,Zhou Boyu³,Shen Shaojie¹

Affiliation:

1. The Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China

2. Institute of Cyber-Systems and Control, Zhejiang University,State Key Laboratory of Industrail Control Technology,Hangzhou,China

3. School of Artificial Intelligence, Sun Yat-Sen University,Zhuhai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160933.pdf?arnumber=10160933

Reference37 articles.

1. State of the art in surface reconstruction from point clouds;berger;Eurographics 2014-State of the Art Reports,2014

2. An effective implementation of the Lin–Kernighan traveling salesman heuristic

3. Filling holes in complex surfaces using volumetric diffusion

4. Adam: A method for stochastic optimization;kingma;ArXiv Preprint,2014

5. PCN: Point Completion Network

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