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LOOMY: A platform for vision-based autonomous driving

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Date Issued:
1998
Summary:
This thesis describes the conceptualization, design and implementation of a low-cost vision-based autonomous vehicle named LOOMY. A golf cart has been ouffitted with a personal computer, a fixed foward-looking camera, and the necessary actuators to facilitate driving operations. Steering, braking, and speed control actuators are being driven in open-loop with no sort of local feedback. The only source of feedback to the system is through the image sequence obtained from the camera. The images are processed and the relative information is extracted and applied to the navigation task. The implemented task is to follow another vehicle, tracing its actions while avoiding collisions using the visual looming cue.
Title: LOOMY: A platform for vision-based autonomous driving.
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Name(s): Kelly, Thomas Joseph.
Florida Atlantic University, Degree grantor
Raviv, Daniel, Thesis advisor
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 1998
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 66 p.
Language(s): English
Summary: This thesis describes the conceptualization, design and implementation of a low-cost vision-based autonomous vehicle named LOOMY. A golf cart has been ouffitted with a personal computer, a fixed foward-looking camera, and the necessary actuators to facilitate driving operations. Steering, braking, and speed control actuators are being driven in open-loop with no sort of local feedback. The only source of feedback to the system is through the image sequence obtained from the camera. The images are processed and the relative information is extracted and applied to the navigation task. The implemented task is to follow another vehicle, tracing its actions while avoiding collisions using the visual looming cue.
Identifier: 9780599109247 (isbn), 15610 (digitool), FADT15610 (IID), fau:12565 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 1998.
Subject(s): Automotive sensors
Autonomous robots
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/15610
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.