When approaching a road intersection, drivers consider several factors and choose amongst different likely manoeuvres. For an autonomous agent, it is fundamental to understand what other drivers are doing before deciding their own manoeuvres. These are seldom be the same as intersections differ and the situations too. Whilst, learning techniques can be used to process features of trajectories and to predict manoeuvres of others cars. The problem with such approaches is the difficult process of recording data for each intersection, not only of the subject vehicle but of the other vehicles. To address this problem, a hybrid data set was constructed. It is built in a simulated environment and completed with real data after has driven multiple times across the intersection. To analyze these data, classification technique is used to find the common range of features for each manoeuvre. Random forest classifiers are used in conjunction with our functional discretization to analyze the trajectories of cars approaching an intersection. The classifiers can determine the longitudinal manoeuvre as well as the direction. We show how our approach performs compared to other classifiers and space discretization. In addition, we demonstrate the impact and the usefulness of the mixture between simulated and real data. An improvement of 30% accuracy is obtained with the hybrid data set, and 5% using our functional discretization with respect to baseline approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Classification of drivers manoeuvre for road intersection crossing with synthethic and real data


    Contributors:


    Publication date :

    2017-06-01


    Size :

    1439094 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification of Drivers Manoeuvre for Road Intersection Crossing with Synthethic and Real Data

    Barbier, Mathieu / Laugier, Christian / Simonin, Olivier et al. | British Library Conference Proceedings | 2017


    Drivers' Manoeuvre Classification for Safe HRI

    Pulgarin, Erwin Jose Lopez / Herrmann, Guido / Leonards, Ute | British Library Conference Proceedings | 2017


    Modelling drivers with the optimal manoeuvre method

    Biral,F. / Da Lio,M. / Univ.di Trento,IT | Automotive engineering | 2001


    INTERSECTION CROSSING CONTROL

    RAMIREZ PAVON OMAR ANTONIO / CABALLERO DE ITA CARLOS ALBERTO / ORTEGA GARCIA EDGAR JAVIER | European Patent Office | 2020

    Free access

    Intersection crossing control

    RAMIREZ PAVON OMAR ANTONIO / CABALLERO DE ITA CARLOS ALBERTO / ORTEGA GARCIA EDGAR JAVIER | European Patent Office | 2022

    Free access