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ThinkMind // VEHICULAR 2019, The Eighth International Conference on Advances in Vehicular Systems, Technologies and Applications // View article vehicular_2019_2_30_30060


Lane Estimation Algorithm Based on Sensor Fusion Database

Authors:
Seung uk Jeon
Byungyong You

Keywords: Recognition; Judgement; Algorithm; Lane Estimation; Accuracy;

Abstract:
This paper presents a lane estimation algorithm to recognize the position of the vehicle and the total number of lanes on the road. For more efficient self-driving and ADAS, it is important to recognize ego-vehicle position using environmental sensors. This algorithm provides more convenient services based on precise position of ego – vehicle. The study was based on an actual driving database and algorithm is designed according to various road conditions. The test results with actual driving data showed high accuracy of proposed algorithm.

Pages: 24 to 27

Copyright: Copyright (c) IARIA, 2019

Publication date: June 30, 2019

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-720-7

Location: Rome, Italy

Dates: from June 30, 2019 to July 4, 2019

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