Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/73214
Title: Building a low cost advanced driver assistance system – road lane detection
Authors: Huang, Junjia
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Abstract: The road lane detector presented in this program is to detect the road lane lines and their boundaries by processing the image or video captured by a car camera. This is a pipeline software which using python with OpenCV to conduct the image processing. It eliminates the distortion, isolates the road lane lines with a combined filter and inverse perspective mapping transform. The algorithm can detect the road lane lines in still image and video with good range of visibility and lighting condition.
URI: http://hdl.handle.net/10356/73214
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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