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Intelligent Diagnosis Based On Validated And Fused Data For Relilability And Safety Enhancement Of Automated Vehicles In An IVHS

Author

Listed:
  • Agogino, Alice
  • Chao, Susan
  • Goebel, Kai
  • Alag, Satnam
  • Cammon, Bradly
  • Wang, Jiangxin

Abstract

Vehicles in an IVHS system rely heavily on information obtained from sensors. So far, most control systems make the implicit assumption that sensor information is always correct. However, in reality, sensor information is always corrupted to some degree by noise which varies with operating conditions, environmental conditions, and other factors. In addition, sensors can fail due to a variety of reasons. To overcome these shortcomings, sensor validation is needed to assess the integrity of the sensor information and adjust or correct as appropriate. In the presence of redundant information, sensor data must be fused, accommodating the findings from the validation process. In this report, we address the above issues. Key words: sensor validation, sensor fusion, data fusion, supervisory control, management of uncertainty, reliability, safety, Bayes networks, fault detection, Diagnosis, Influence Diagrams, risk analysis, decision making

Suggested Citation

  • Agogino, Alice & Chao, Susan & Goebel, Kai & Alag, Satnam & Cammon, Bradly & Wang, Jiangxin, 1998. "Intelligent Diagnosis Based On Validated And Fused Data For Relilability And Safety Enhancement Of Automated Vehicles In An IVHS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1mw2v298, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt1mw2v298
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    References listed on IDEAS

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    1. Agogino, Alice & Goebel, Kai & Alag, Sanam, 1995. "Intelligent Sensor Validation And Sensor Fusion For Reliability And Safety Enhancement In Vehicle Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5bc922tn, Institute of Transportation Studies, UC Berkeley.
    2. Agogino, Alice & Goebel, Kai & Alag, Sanam, 1997. "Intelligent Sensor Validation And Fusion For Vehicle Guidance Using Probabilistic And Fuzzy Methods," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2nq1f8n9, Institute of Transportation Studies, UC Berkeley.
    3. Lygeros, John & Godbole, Datta N. & Broucke, Mireille E., 1995. "Design Of An Extended Architecture For Degraded Modes Of Operation Of AHS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1d1983p5, Institute of Transportation Studies, UC Berkeley.
    4. Ross D. Shachter & C. Robert Kenley, 1989. "Gaussian Influence Diagrams," Management Science, INFORMS, vol. 35(5), pages 527-550, May.
    5. Eskafi, Farokh H., 1996. "Modeling And Simulation Of The Automated Highway System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt11m6t11p, Institute of Transportation Studies, UC Berkeley.
    Full references (including those not matched with items on IDEAS)

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