2026-09-22T22:36:59Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/86051 2023-07-11 col_2142_5131 col_2142_14847 com_2142_5130 com_2142_683 com_2142_397

Zhang, Qin Rovira Mas, Francisco 2015-09-28T14:53:46Z 2015-09-28T14:53:46Z 10000-01-01 2003 2003 Two 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. Made available in DSpace on 2015-09-28T14:53:46Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3086169.pdf: 9500761 bytes, checksum: b42f6d6de46629c895063010e83f5b97 (MD5) Previous issue date: 2003 Embargo set by: Seth Robbins for item 87332 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 247 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003. http://hdl.handle.net/2142/86051 (MiAaPQ)AAI3086169 eng Engineering, Automotive Applications of Stereoscopic Vision to Agriculture text Agricultural Engineering Agricultural Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.