A survey of Real-time Road Detection Techniques Using Visual Color Sensor
- Authors
- 김병규; GWANG-SOO HONG; DEBI PROSAD DOGRA; PARTHA 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.
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