Adaptive cruise control is currently one of the most widely accepted vehicle driver assistance technologies. However, the main challenge is still due to the uncertainty about other traffic participants' intended driving maneuvers such as unexpected lane changes. In this paper, graphical modeling and unsupervised learning techniques are utilized to obtain a model for inferring the intention of drivers in surrounding vehicles. In particular, real-world driving data collected on public roads with only standard production sensors is utilized to synthesize a hidden Markov model with the aid of unscented Kalman filtering and the expectation maximization technique. Exact probabilistic inference is used to obtain a posterior probability distribution over the driver's intention. The proposed inference framework can be utilized to faster detect lane changes when compared to commercial rule-based approaches. This, in turn, gives the adaptive cruise control system more reaction time which yields a potential for improving safety and ride comfort.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Probabilistic inference of traffic participants' lane change intention for enhancing adaptive cruise control


    Contributors:


    Publication date :

    2017-06-01


    Size :

    707522 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Probabilistic Inference of Traffic Participants' Lane Change Intention for Enhancing Adaptive Cruise Control

    Lee, Donghan / Hansen, Andreas / Hedrick, J. Karl | British Library Conference Proceedings | 2017


    ADAPTIVE CRUISE CONTROL WITH OPERATOR INTENTION INFERENCE

    SMITH MATTHEW R / KHALIDI ASHFEEL | European Patent Office | 2017

    Free access

    ADAPTIVE CRUISE CONTROL WITH OPERATOR INTENTION INFERENCE

    SMITH MATTHEW R / KHALIDI ASHFEEL | European Patent Office | 2017

    Free access


    Coordinated Adaptive Cruise Control System With Lane-Change Assistance

    Dang, Ruina / Wang, Jianqiang / Li, Shengbo Eben et al. | IEEE | 2015