Indian Road Lanes Detection Based on Regression and clustering using Video Processing Techniques
- Title
- Indian Road Lanes Detection Based on Regression and clustering using Video Processing Techniques
- Creator
- Manjunatha H.T.; Danti A.; ArunKumar K.L.; Rohith D.
- Description
- Detecting the road lanes from moving vehicle is a difficult and challenging task because of road lane markings with poor quality, occlusion created by traffic and poor road constructions. If the driver is not maintaining the road lanes properly, the proposed system detects the road lanes and gives the alarm to the driver so that driver can take the corrective actions there by we can avoid the accidents. The paper mainly focusses on detection of road lanes from sequence of image taken from the video from moving vehicle. The Methodology mainly consisting of lane segments merging and fitting using clustering and weighted regression techniques to fit the curve in the place of group of lane segments and curve fitting separately. 2021, Springer Nature Singapore Pte Ltd.
- Source
- Communications in Computer and Information Science, Vol-1380, pp. 193-206.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Clustering; Lane segments; Regression
- Coverage
- Manjunatha H.T., Department of MCA, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Danti A., Computer Science and Engineering, CHRIST (Deemed to be University), Bengalore, Karnataka, India; ArunKumar K.L., Department of MCA, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, India; Rohith D., NMIT, Banglore, Karnataka, India
- Rights
- Restricted Access
- Relation
- ISSN: 18650929; ISBN: 978-981160506-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Manjunatha H.T.; Danti A.; ArunKumar K.L.; Rohith D., “Indian Road Lanes Detection Based on Regression and clustering using Video Processing Techniques,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20610.