Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A survey of Real-time Road Detection Techniques Using Visual Color Sensor

Authors
김병규GWANG-SOO HONGDEBI PROSAD DOGRAPARTHA PRATIM ROY
Issue Date
Mar-2018
Publisher
KMMS
Keywords
Imaging Sensor; Smart Car; Color Model; Color Segmentation; Road Detection
Citation
The Journal of Multimedia Information System, v.5, no.1, pp 9 - 14
Pages
6
Journal Title
The Journal of Multimedia Information System
Volume
5
Number
1
Start Page
9
End Page
14
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/17742
DOI
10.9717/JMIS.2018.5.1.9
ISSN
2383-7632
Abstract
A road recognition system or Lane departure warning system is an early stage technology that has been commercialized as early as 10 years but can be optional and used as an expensive premium vehicle, with a very small number of users. Since the system installed on a vehicle should not be error prone and operate reliably, the introduction of robust feature extraction and tracking techniques requires the development of algorithms that can provide reliable information. In this paper, we investigate and analyze various real-time road detection algorithms based on color information. Through these analyses, we would like to suggest the algorithms that are actually applicable.
Files in This Item
Go to Link
Appears in
Collections
ICT융합공학부 > IT공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Byung Gyu photo

Kim, Byung Gyu
공과대학 (인공지능공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE