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Academic Journal of Computing & Information Science, 2021, 4(2); doi: 10.25236/AJCIS.2021.040210.

Lane Line detection and Vehicle Identification Using Monocular Camera Based on MATLAB

Author(s)

Hongyi Du

Corresponding Author:
Hongyi Du
Affiliation(s)

International Course Center, The High School Affiliated to Renmin University of China, Beijing 100080, China

Abstract

Road detection and vehicle recognition are one of the core technologies of Advanced Driving Assistance System (ADAS). The main research content of this paper is road detection and vehicle recognition under the monocular camera, and select examples to realize simulation and simulation through the computer version (CV) algorithm in MATLAB software. The recognition rate of the algorithm for single/double lanes reaches 95 %, the recognition rate of dashed/solid lines reached 97%, and the recognition rate of vehicles reached 99%. The results show that the lane detection algorithm used in this paper can better complete lane line detection and vehicle recognition, and has higher recognition accuracy and better practical value.

Keywords

Monocular camera, computer vision, road detection and vehicle recognition

Cite This Paper

Hongyi Du. Lane Line detection and Vehicle Identification Using Monocular Camera Based on MATLAB. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 2: 55-60. https://doi.org/10.25236/AJCIS.2021.040210.

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