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IDRES: A rule-based system for driving situation recognition with uncertainty management

Abstract : This paper deals with the recognition of particular temporal sequences of a dynamic system, particularly in the driving situation context. The aim is to propose a method to recognise the manoeuvre performed by the driver from the data of sensors installed in a vehicle. The developed system named Intelligent Driving Recognition with Expert System is built on a two-level rule-based system that takes into account the measurements from the sensors and the sequence of the states that describes the manoeuvres. Because the inputs can be unreliable or/and inaccurate, a confidence notion is defined and modelled by a mass of evidence proposed in Dempster–Shafer’s theory. The final system recognises the current manoeuvre and evaluates the confidence of this recognition.
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https://hal-utt.archives-ouvertes.fr/hal-02319152
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Thursday, October 17, 2019 - 4:52:20 PM
Last modification on : Thursday, June 25, 2020 - 11:00:20 AM

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Jean-Marc Nigro, Michèle Rombaut. IDRES: A rule-based system for driving situation recognition with uncertainty management. Information Fusion, Elsevier, 2003, 4 (4), pp.309-317. ⟨10.1016/S1566-2535(03)00042-3⟩. ⟨hal-02319152⟩

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