A Real-Time Vision System for a Semi-Autonomous Surface Vehicle

abstract: In the sport of competitive water skiing, the skill of a human boat driver can affect athletic performance. Driver influence is not necessarily inhibitive to skiers, however, it reduces the fairness and credibility of the sport overall. In response to the stated problem, this thesis propos...

Full description

Bibliographic Details
Other Authors: Walker, Collin Christopher (Author)
Format: Dissertation
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/2286/R.I.25961
id ndltd-asu.edu-item-25961
record_format oai_dc
spelling ndltd-asu.edu-item-259612018-06-22T03:05:29Z A Real-Time Vision System for a Semi-Autonomous Surface Vehicle abstract: In the sport of competitive water skiing, the skill of a human boat driver can affect athletic performance. Driver influence is not necessarily inhibitive to skiers, however, it reduces the fairness and credibility of the sport overall. In response to the stated problem, this thesis proposes a vision-based real-time control system designed specifically for tournament waterski boats. The challenges addressed in this thesis include: one, the segmentation of floating objects in frame sequences captured by a moving camera, two, the identification of segmented objects which fit a predefined model, and three, the accurate and fast estimation of camera position and orientation from coplanar point correspondences. This thesis discusses current ideas and proposes new methods for the three challenges mentioned. In the end, a working prototype is produced. Dissertation/Thesis Walker, Collin Christopher (Author) Li, Baoxin (Advisor) Turaga, Pavan (Committee member) Claveau, David (Committee member) Arizona State University (Publisher) Computer science eng 188 pages Masters Thesis Computer Science 2014 Masters Thesis http://hdl.handle.net/2286/R.I.25961 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2014
collection NDLTD
language English
format Dissertation
sources NDLTD
topic Computer science
spellingShingle Computer science
A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
description abstract: In the sport of competitive water skiing, the skill of a human boat driver can affect athletic performance. Driver influence is not necessarily inhibitive to skiers, however, it reduces the fairness and credibility of the sport overall. In response to the stated problem, this thesis proposes a vision-based real-time control system designed specifically for tournament waterski boats. The challenges addressed in this thesis include: one, the segmentation of floating objects in frame sequences captured by a moving camera, two, the identification of segmented objects which fit a predefined model, and three, the accurate and fast estimation of camera position and orientation from coplanar point correspondences. This thesis discusses current ideas and proposes new methods for the three challenges mentioned. In the end, a working prototype is produced. === Dissertation/Thesis === Masters Thesis Computer Science 2014
author2 Walker, Collin Christopher (Author)
author_facet Walker, Collin Christopher (Author)
title A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
title_short A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
title_full A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
title_fullStr A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
title_full_unstemmed A Real-Time Vision System for a Semi-Autonomous Surface Vehicle
title_sort real-time vision system for a semi-autonomous surface vehicle
publishDate 2014
url http://hdl.handle.net/2286/R.I.25961
_version_ 1718700534955769856