Recent Advancements in Lane Detection: A Review
Suvarna Shirke1, R. Udaya Kumar2

1Suvarna Shirke, Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
2Dr. R. Udaya Kumar, Professor, Department of Information Technology, Bharath Institute of Higher Education and Research, Chennai (Tamil Nadu), India.
Manuscript received on 25 March 2019 | Revised Manuscript received on 04 April 2019 | Manuscript Published on 27 April 2019 | PP: 393-399 | Volume-7 Issue-6S2 April 2019 | Retrieval Number: F90790476S219/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: As of late greatest research is performed on lane detection and lane departure system. The thought process behind the research is the wellbeing of the vehicle drivers and travelers out and about and diminishes the mishaps. Driver Assistant System’s (DAS) main task is to detect the road. There are two kinds of road regions: organized/structured and unstructured road regions. In the urban territory, we discovered structured regions with appropriate lane marking and boundaries appropriate limit stamping and path checking. In rustic zones, we discovered unstructured road regions without appropriate boundaries and lane markings. Recognizing the unstructured street area is a testing issue. This paper describes the various lane detection techniques as well as the performance of various lane detection algorithms is studied and compared.
Keywords: Lane Detection, Road Region, Lane Marking, Lane Departure System, Structured Roads, and Unstructured Roads.
Scope of the Article: System Integration