Analysis of LDWS Recognition Rate According to the Aging of Road Marking

Abstract

In recent years, research on self-driving cars has been conducted in connection with road infrastructure in order to overcome the limitations of self-driving, such as the video detecting capability at day and night time. This study evaluates the operation of the lane departure warning system (LDWS) used in autonomous vehicles on real roads, as influenced by the aging of the road markings. The performance of the road markings was measured using the retro-reflection coefficient. Since there are restrictions on experiments on real roads, the experiment was conducted using the driving track of the Korea Institute of Civil Engineering and Building Technology while degrading the reflective performance of constructed road markings of different colors. The results indicated that there was no perceiving problem with the recognition rate of LDWS in day and night situations, but some situations occurred that depended on sun phantom or weather conditions.

Keywords

• retro-reflection coefficient
• lane departure warning system
• connected autonomous vehicle
• road marking performance