Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/68358
Title: Traffic signs recognition using color threshold, edge detection, and hough transform based on Matlab
Authors: Hu, Yifei
Keywords: DRNTU::Engineering
Issue Date: 2016
Abstract: Traffic signs, as auxiliary facilities for traffic safety, play an important role in the entire traffic system. They transfer vital information like warning, instruction and others to both pedestrians and drivers. With the development of artificial intelligence, research in the field of in intelligent driver assistance systems and autonomous cars attracts more and more attentions. Therefore, as a fundamental technology of autonomous cars, traffic signs recognition becomes one of the hottest research. In this report, a methodology of traffic signs recognition based on color threshold, edge detection, Hough transform and other algorithms is introduced. The platform used in this report is Matlab R2015b.
URI: http://hdl.handle.net/10356/68358
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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