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 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Huang_Junjia_FYP_Report.pdf Restricted Access | 2.79 MB | Adobe PDF | View/Open |
Page view(s) 50
542
Updated on Mar 27, 2024
Download(s) 50
132
Updated on Mar 27, 2024
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.