Lane Detection using Kalman Filtering

Title

Lane Detection using Kalman Filtering

Creator

Subramani R.; Suresh K.; Donald C.; Vijayalakshmi C.

Description

Autonomous vehicles are the future of transportation. Modern high-tech vehicles use a sequence of cameras and sensors and in order to assess their atmosphere and aid to the driver by generating various alerts. While driving, it is always a challenging task for drivers to notice lane lines on the road, especially at night time, it becomes more difficult. This research proposes a novel way to recognize lanes in a variety of environments, including day and night. First various pre-processing techniques are used to improve and filter out the noise present in the video frames. Then, a sequence of procedure with respect to lane detection is performed. This stable lane detection is achieved by Kalman filter, by removing offset errors and predict future lane lines. 2023 Elsevier B.V.. All rights reserved.

Source

Procedia Computer Science, Vol-230, pp. 598-607.

Date

2023-01-01

Publisher

Elsevier B.V.

Subject

Autonomous Driving; Driverless; Kalman Filter; Lane Detection

Coverage

Subramani R., Department of Mathematics, CHRIST (Deemed to be University, Bengaluru, India; Suresh K., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Donald C., Department of Computer Science, CHRIST (Deemed to be University), Bengaluru, India; Vijayalakshmi C., Department of Statistics and Applied Mathematics, Central University of Tamil Nadu, Thiruvarur, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 18770509

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1016/j.procs.2023.12.115

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184082311&doi=10.1016%2fj.procs.2023.12.115&partnerID=40&md5=466a6174636b3cb1d0f87d66fa82abf1