Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/71942
Title: Fast obstacle detection for UAV using vision
Authors: Ye, Naing Oo
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2017
Abstract: Based on an practical results and intensive review of the currently available algorithm provided by the latest version of OpenCV library, this report concludes that stereo matching with semi-global block matching algorithm (sgbm) produces the most efficient result. Analysis on four mode of stereo matching with OpenCV on C++ platform was made. The result are compared base on the matching speed and quality.
URI: http://hdl.handle.net/10356/71942
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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