A prerequisite to the design of future advanced driver assistance systems for cars is a sensing system providing all the information required for high-level driving assistance tasks. Carsense is a European project whose pur pose is to develop such a new sensing system. It will combine different sensors (laser, radar and video) and will rely on the fusion of the information coming from these sensors in order to achieve better accuracy, robustness and an increase of the information content. This paper demonstrates the interest of using probabilistic reasoning techniques to address this challenging multi-sensor data fusion problem. The approach used is called Bayesian Programming. It is a general approach based on an implementation of the Bayesian theory. It was introduced first to design robot control programs but its scope of application is much broader and it can be used whenever one has to deal with problems involving uncertain or incomplete knowledge.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-sensor data fusion using Bayesian programming: An automotive application


    Contributors:
    Coue, C. (author) / Fraichard, Th. (author) / Bessiere, P. (author) / Mazer, E. (author)

    Published in:

    Publication date :

    2002-01-01


    Size :

    504943 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Multi-Sensor Data Fusion Using Bayesian Programming: an Automotive Application

    Coue, C. / Fraichard, T. / Bessiere, P. et al. | British Library Conference Proceedings | 2003


    Multi-sensor data fusion for automotive systems

    SOBHANY RANA JUNE | European Patent Office | 2021

    Free access


    AUTOMOTIVE SENSOR FUSION

    GUNEL DENIZ | European Patent Office | 2021

    Free access

    Nonlinear Estimation and Bayesian Multi-sensor Fusion using Adaptive Quadrature

    Lee, Victor / Yoon, Jangho / Vedula, Prakash | AIAA | 2011