Modern vehicles consist of an on-board detection unit that can record a driver’s driving behavior. Detecting anomaly in the driving behavior can be used for theft detection. There are many supervised learning models to detect driving behavior. However, it is impractical to collect the behavior of possible thieves beforehand for training. In this work, we design an unsupervised deep autoencoder model, which can learn the driving behavior only from one or few vehicle owners and it can recognize non-owner driving behavior as the vehicle theft. The model is lightweight and it can achieve high accuracy up to around 98% like a supervised model. The analysis results also show that each driver has different important features for the detection when compared with the other drivers.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Automobile Theft Detection by Driving Behavior Identification Using Deep Autoencoder


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Tsihrintzis, George A. (Herausgeber:in) / Wang, Shiuh-Jeng (Herausgeber:in) / Lin, Iuon-Chang (Herausgeber:in) / Kristianto, Edy (Autor:in) / Lin, Po-Ching (Autor:in)


    Erscheinungsdatum :

    30.11.2022


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    VISUALIZATION OF DRIVING BEHAVIOR USING DEEP SPARSE AUTOENCODER

    Liu, H. / Taniguchi, T. / Takano, T. et al. | British Library Conference Proceedings | 2014


    Key detection and fingerprint identification based automobile anti-theft system

    ZHU JIE | Europäisches Patentamt | 2015

    Freier Zugriff

    Automobile anti-theft device capable of recording driving route

    XU YUJIE / CHEN YUANXI / WANG MINGBO et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Automobile anti-theft system capable of detecting fatigue driving

    GAO PING / CHEN YUANXI / WANG MINGBO et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Automobile anti-theft detection system and method, and automobile

    HU SHUAISHUAI / LYU XIAOJIANG / HAN YAPING et al. | Europäisches Patentamt | 2021

    Freier Zugriff