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Intelligent Sensor Validation And Fusion For Vehicle Guidance Using Probabilistic And Fuzzy Methods

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

Abstract

This study reports on a method to accomplish sensor validation and fusion in Intelligent Transportation Systems (ITS). The method is based on probabilistic and fuzzy techniques that express a confidence in the sensor data and take into account environmental factors and the state of the system. Sensor data fusion uses the confidence assigned to each sensor reading and integrates them into one reading. Noise and failure are filtered from the data and lead to a safety improvement in ITS.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsrrp:qt2nq1f8n9
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    References listed on IDEAS

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    1. Varaiya, P. P. & Shladover, Steven E., 1991. "Sketch Of An Ivhs Systems Architecture," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5jh5n9w1, Institute of Transportation Studies, UC Berkeley.
    2. 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.
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    Cited by:

    1. Yi, Jingang & Suryanarayanan, Shashikanth & Howell, Adam & Horowitz, Roberto & Tomizuka, Masayoshi & Hedrick, Karl & Alvarez, Luis, 2002. "Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part I," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6nh6r02x, Institute of Transportation Studies, UC Berkeley.
    2. Yi, Jingang & Suryanarayanan, Shashikanth & Howell, Adam & Horowitz, Roberto & Tomizuka, Masayoshi & Hedrick, Karl, 2002. "Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part II," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0n77c5rd, Institute of Transportation Studies, UC Berkeley.
    3. 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.
    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. Yi, Jingang & Howell, Adam & Horowitz, Roberto & Hedrick, Karl & Alvarez, Luis, 2001. "Fault Detection and Handling for Longitudinal Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7n15m1wk, Institute of Transportation Studies, UC Berkeley.

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