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Authors: Amy Lewis 1 ; Kolton Yager 1 ; Mitchell Keller 1 ; Bonita Galvan 1 ; Russell Bingham 2 ; Samantha Ting 2 ; Jane Wu 2 ; Timmy Gambin 3 ; Christopher Clark 2 and Zoë Wood 1

Affiliations: 1 Computer Science Department, Cal Poly, San Luis Obispo, U.S.A. ; 2 Engineering Department, Harvey Mudd College, Claremont, U.S.A. ; 3 Department of Archaeology, University of Malta, Malta

ISBN: 978-989-758-402-2

ISSN: 2184-4321

Keyword(s): Photogrammetry, AUV Path Planning, Viewpoint Planning, 3D Reconstruction.

Abstract: We introduce a system for automatically generating paths for autonomous underwater vehicles which optimize views of a site of interest. These paths can then be used to survey and map underwater sites of interest using photogrammetry. Paths are generated in a virtual world by a single-query probabilistic roadmap algorithm that quickly covers the configuration space and generates small maps with good coverage. The objective function used to compute the paths measures an approximate view coverage by casting rays from the virtual view to test for intersections with the region of interest, with added weight for views with high information gain. The motion planning algorithm was implemented in a virtual world that includes the ability to test paths and acquire views of the virtual scene for evaluation prior to real world deployment. To measure the effectiveness of our paths versus the commonly used pre-packaged lawnmower paths, photogrammetry reconstructions were compared using CloudCompare . The 3D reconstructions created from the views along the paths generated by our algorithm were more detailed and showed better coverage, creating point clouds with a mean distance between points ranging from 1.5 to 2.3 times better than that of the lawnmower pattern. (More)

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Paper citation in several formats:
Lewis, A.; Yager, K.; Keller, M.; Galvan, B.; Bingham, R.; Ting, S.; Wu, J.; Gambin, T.; Clark, C. and Wood, Z. (2020). Virtual Planning and Testing of AUV Paths for Underwater Photogrammetry.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-402-2, ISSN 2184-4321, pages 93-101. DOI: 10.5220/0008943300930101

@conference{grapp20,
author={Amy Lewis. and Kolton Yager. and Mitchell Keller. and Bonita Galvan. and Russell C. Bingham. and Samantha Ting. and Jane Wu. and Timmy Gambin. and Christopher Clark. and Zoë J. Wood.},
title={Virtual Planning and Testing of AUV Paths for Underwater Photogrammetry},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2020},
pages={93-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008943300930101},
isbn={978-989-758-402-2},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Virtual Planning and Testing of AUV Paths for Underwater Photogrammetry
SN - 978-989-758-402-2
AU - Lewis, A.
AU - Yager, K.
AU - Keller, M.
AU - Galvan, B.
AU - Bingham, R.
AU - Ting, S.
AU - Wu, J.
AU - Gambin, T.
AU - Clark, C.
AU - Wood, Z.
PY - 2020
SP - 93
EP - 101
DO - 10.5220/0008943300930101

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