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University of Illinois at Urbana-Champaign
Applications of Stereoscopic Vision to Agriculture
Abstract
dc:descriptionTwo applications of stereovision for automatic guidance of agricultural vehicles were conceived. The first one employed disparity images together with regression analysis to find the vehicle's directrix. Problems appeared with poor correlated lines and vertical lines. A modification in the regression equations of vertical lines was incorporated. An algorithm to determine the target point within the disparity map was elaborated. This application was tested with real images obtained in the field. The second application was developed to a conceptual level. It utilizes three-dimensional images to estimate a vehicle's trajectory.
Degree
thesis:*- Name thesis:degree_name
- Ph.D.
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Agricultural Engineering
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2015
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Rovira Mas, Francisco
- Contributors dc:contributor
-
- Zhang, Qin
Subjects
dc:subject × 1Rights
- Language dc:language
- eng
Identifiers
dc:identifier.*- Identifier
- (MiAaPQ)AAI3086169
- OAI identifier oai:identifier
- oai:www.ideals.illinois.edu:2142/86051