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Multi-Sensor Traffic Data Fusion

Author

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  • Kim, ZuWhan
  • Skabardonis, A.

Abstract

This report describes unique surveillance system on a section of I-80 freeway in the city of Emeryville. The system, called the Berkeley Highway Laboratory (BHL), consists of eight dual loop detector stations along the freeway section, and 12 video cameras. Advanced machine vision algorithms were developed to process the video data to generate vehicle trajectories. Efforts are underway to fuse the loop and video detector data to obtain detailed and accurate information on traffic operating conditions

Suggested Citation

  • Kim, ZuWhan & Skabardonis, A., 2003. "Multi-Sensor Traffic Data Fusion," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0xf673n8, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0xf673n8
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    File URL: https://www.escholarship.org/uc/item/0xf673n8.pdf;origin=repeccitec
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    References listed on IDEAS

    as
    1. Koler, Dieter & Weber, Joseph & Malik, Jitendra, 1994. "Robust Multiple Car Tracking With Occlusion Reasoning," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt49c0g7p8, Institute of Transportation Studies, UC Berkeley.
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