HighlightsDevelops algorithm that uses steering wheel signal to warn of upcoming lane departures.Steering wheel signal and vehicle transfer function allow deriving lane position.Algorithm uses lane position to warn (3s ahead) of lane deviations exceeding 0.2m.Algorithm sensitivity (47%) and specificity (71%) exceed current video-based systems.

    AbstractCurrent lane departure warning systems are video-based and lose data when road- and weather conditions are bad. This study sought to develop a lane departure warning algorithm based on the signal drawn from the steering wheel. The rationale is that a car-based lane departure warning system should be robust regardless of road- and weather conditions. N=34 professional driver students drove in a high-fidelity driving simulator at 80km/h for 55min every third hour during 36h of sustained wakefulness. During each driving session we logged the steering wheel- and lane position signals at 60Hz. To derive the lane position signal, we quantified the transfer function of the simulated vehicle and used it to derive the absolute lane position signal from the steering wheel signal. The Pearson correlation between the derived- and actual lane position signals was r=0.48 (based on 12,000km). Next we designed an algorithm that alerted, up to three seconds before they occurred, about upcoming lane deviations that exceeded 0.2m. The sensitivity of the algorithm was 47% and the specificity was 71%. To our knowledge this exceeds the performance of the current video-based systems.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Detecting lane departures from steering wheel signal



    Published in:

    Publication date :

    2016-12-04


    Size :

    7 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Detecting lane departures from steering wheel signal

    Sandström, Max | Online Contents | 2017


    Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle

    McDonald, A.D. / Schwarz, C. / Lee, J.D. et al. | British Library Conference Proceedings | 2012


    Steering in a Random Forest. Ensemble Learning for Detecting Drowsiness-Related Lane Departures

    McDonald, Anthony D. / Lee, John D. / Schwarz, Chris et al. | Tema Archive | 2014


    Lane-keeping assistance control algorithm using differential braking to prevent unintended lane departures

    Lee, Junyung / Choi, Jaewoong / Yi, Kyongsu et al. | Tema Archive | 2014


    Steering wheel unit for detecting steering movement of steering wheel of electromechanical steering system

    MARIUS-CONSTANTIN COSTACHE / VELEA MARIAN-NICOLAE / HUSU ADRIAN et al. | European Patent Office | 2021

    Free access