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Technical gazette, Vol. 28 No. 1, 2021.

Original scientific paper

https://doi.org/10.17559/TV-20200925063451

Lane Departure Detecting with Classification of Roadway Based on Bezier Curve Fitting Using DGPS/GIS

Ihn-Sik Weon orcid id orcid.org/0000-0003-0452-7056 ; Incheon International Airport Corporation, 47, Gonghang-ro 424 beon-gil, Jung-gu, Incheon, Republic of Korea
Soon-Geul Lee* orcid id orcid.org/0000-0002-4588-6736 ; Dept. of Mechanical Engineering, Kyung Hee University, 1732 Dukyoungdaero, Kiheing-gu, Yongin 17104, Korea
Soo-Ho Woo ; Dept. of Mechanical Engineering, Kyung Hee University, 1732 Dukyoungdaero, Kiheing-gu, Yongin 17104, Korea

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Abstract

Lane departure warning system plays an important role in safety driving by detecting a departure from a lane that is inadvertently operated on the driving trajectory. This paper suggestion detection algorithm when a vehicle departs lane boundary using GIS based on DGPS in the whole roadways. Lane segments obtained from the GIS are calculated their relative distances based on the vehicle position. Lane segments consist of consecutive straight lines and have a steady numerical error of design. In the curved section, the numerical error is bigger due to the characteristics. Accurate information about lane segments is required to reduce errors. Bezier curves are one way to extract lane segments from a curved section. The proposed lane departure algorithm is processed in two ways according to the lane type. Firstly, roads should be classified as lane type with straight and curved sections. Intersection points (IP) algorithm can easily classify the curve segments. Classified lane segments handle arithmetic relative distances for each algorithm. The lane segment of the base boundary, which is a straight lane section, has a virtual line based on the requirements of ISO 17361. The overlap area, consisting of a curve lane section and a Bezier curve, calculates the departure distance through the continuity of the driving characteristic and determines the lane departure from the curved roadways. To verify the proposed algorithm, the lane departure test led to two lane departures on each roadway. The comparison between visual sight and the departure alarm shows the driver within 0.1 second.

Keywords

bezier curve; classification roadway; DGPS/GIS; intelligent function; IoT; lane departure; precision localization

Hrčak ID:

251767

URI

https://hrcak.srce.hr/251767

Publication date:

5.2.2021.

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