Road markings are critical road safety features for both human drivers and for machine vision technology used in advanced driver assistance systems and in the emerging technology of automated vehicles. Amongst the parameters, contrast ratio is necessary for appropriate recognition of road markings. To assess the contrast ratio of road markings at various roads, still images of roadway were obtained from a dashboard camcorder used for a naturalistic driving study in Poland. Road markings and neighbouring roadway surface were measured for luminance and Weber contrast was calculated. At the studied representative roads average contrast ratio was 0.8 under daytime illumination and 2.0 at night; enhancement of the contrast through digital image manipulation resulted in increases to 2.3 and 6.8, respectively. Under poor visibility daytime conditions (interference from glare or rain), average contrast ratio dropped to 0.5 (enhanced 1.4); in the worst case it was below 0.1. Consequently, the current machine vision technology could fail under some poor visibility circumstances. The image enhancement indicated that both the initial and digitally enhanced contrast ratios were important.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Contrast Ratio of Road Markings in Poland - Evaluation for Machine Vision Applications Based on Naturalistic Driving Study


    Additional title:

    Sustain. Civil Infrastruct.



    Conference:

    International Road Federation World Meeting & Exhibition ; 2021 ; Dubai, United Arab Emirates November 07, 2021 - November 10, 2021



    Publication date :

    2022-04-21


    Size :

    15 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Self-driving system for smart road markings and smart road markings

    LEE SUK KI / KIM YONG SEOK / PARK WON IL et al. | European Patent Office | 2022

    Free access


    Naturalistic Driving Study

    Raphael Grzebieta | DOAJ | 2015

    Free access

    Multistage Vision System for Road Lane Markings and Obstacle Detection

    Lopez, B. / Alvarez, S. / Millan, P. et al. | British Library Conference Proceedings | 1994


    High performance road markings

    Phillips, K. | British Library Online Contents | 1994