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University of Illinois at Urbana-Champaign

Autonomous Machine Vision for Off -Road Vehicles in Unstructured Fields

Abstract

dc:description

This research proved the feasibility of the machine vision applications in the three targeted problems, and has shown that machine vision is capable of navigating agricultural vehicles in open field environments.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Agricultural and Biological Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wang, Qi
Contributors dc:contributor
  • Zhang, Qin

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3406815
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/86081

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Wang, Qi. Autonomous Machine Vision for Off -Road Vehicles in Unstructured Fields. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/86081