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Intelligent Sensor Validation And Sensor Fusion For Reliability And Safety Enhancement In Vehicle Control

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  • Agogino, Alice
  • Goebel, Kai
  • Alag, Sanam

Abstract

This research project is concerned with sensor validation and sensor fusion as part of a five module hierarchical architecture for supervisory control. The goal is to enhance reliability and safety of the Intelligent Vehicle Highway System (IVHS) by taking into consideration the uncertainty of sensors and the system. Potential hazards are detected and feasible maneuvers are recommended within the upper modules of the architecture.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsrrp:qt5bc922tn
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    References listed on IDEAS

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    1. Hsu, Ann & Eskafi, Farokh & Sachs, Sonia & Varaiya, Pravin, 1991. "Design Of Platoon Maneuver Protocols For IVHS," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt89c6p0cn, Institute of Transportation Studies, UC Berkeley.
    2. Hitchcock, Anthony, 1991. "Fault Tree Analysis Of A First Example Automated Freeway," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9x57z7jj, Institute of Transportation Studies, UC Berkeley.
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    Cited by:

    1. Hongda Gao & Dejing Kong & Yixin Sun, 2022. "Reliability modeling and analysis for systems governed by multiple competing failures processes," Journal of Risk and Reliability, , vol. 236(2), pages 256-265, April.
    2. Agogino, Alice & Chao, Susan & Wang, Jiangxin & Deng, Xinyan, 2000. "Aggregation of Direct and Indirect Positioning Sensors for Vehicle Guidance," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt9ct800c5, Institute of Transportation Studies, UC Berkeley.
    3. Kong, Dejing & Qin, Chengwei & He, Yong & Cui, Lirong, 2017. "Sensor-based calibrations to improve reliability of systems subject to multiple dependent competing failure processes," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 101-113.
    4. 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.
    5. 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.

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