Toward autonomous underwater mapping in partially structured 3D environments

Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.

Bibliographic Details
Main Author: VanMiddlesworth, Mark (Mark Allen)
Other Authors: John Leonard.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/87791
_version_ 1826216789901574144
author VanMiddlesworth, Mark (Mark Allen)
author2 John Leonard.
author_facet John Leonard.
VanMiddlesworth, Mark (Mark Allen)
author_sort VanMiddlesworth, Mark (Mark Allen)
collection MIT
description Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
first_indexed 2024-09-23T16:53:09Z
format Thesis
id mit-1721.1/87791
institution Massachusetts Institute of Technology
language eng
last_indexed 2024-09-23T16:53:09Z
publishDate 2014
publisher Massachusetts Institute of Technology
record_format dspace
spelling mit-1721.1/877912019-04-11T14:30:16Z Toward autonomous underwater mapping in partially structured 3D environments VanMiddlesworth, Mark (Mark Allen) John Leonard. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 93-100). Motivated by inspection of complex underwater environments, we have developed a system for multi-sensor SLAM utilizing both structured and unstructured environmental features. We present a system for deriving planar constraints from sonar data, and jointly optimizing the vehicle and plane positions as nodes in a factor graph. We also present a system for outlier rejection and smoothing of 3D sonar data, and for generating loop closure constraints based on the alignment of smoothed submaps. Our factor graph SLAM backend combines loop closure constraints from sonar data with detections of visual ducial markers from camera imagery, and produces an online estimate of the full vehicle trajectory and landmark positions. We evaluate our technique on an inspection of a decomissioned aircraft carrier, as well as synthetic data and controlled indoor experiments, demonstrating improved trajectory estimates and reduced reprojection error in the final 3D map. by Mark VanMiddlesworth. S.M. 2014-06-13T21:16:39Z 2014-06-13T21:16:39Z 2014 2014 Thesis http://hdl.handle.net/1721.1/87791 880418660 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 100 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
VanMiddlesworth, Mark (Mark Allen)
Toward autonomous underwater mapping in partially structured 3D environments
title Toward autonomous underwater mapping in partially structured 3D environments
title_full Toward autonomous underwater mapping in partially structured 3D environments
title_fullStr Toward autonomous underwater mapping in partially structured 3D environments
title_full_unstemmed Toward autonomous underwater mapping in partially structured 3D environments
title_short Toward autonomous underwater mapping in partially structured 3D environments
title_sort toward autonomous underwater mapping in partially structured 3d environments
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/87791
work_keys_str_mv AT vanmiddlesworthmarkmarkallen towardautonomousunderwatermappinginpartiallystructured3denvironments