Automated Extraction of Grade Crossing Features from LIDAR Data - Phase 2

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DOT - Federal Railroad Administration

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Description

This is a continuation of grant DTFR53-09-G-00046 with the University of Michigan and will fund phase 2 of the work. Using LIDAR data the Grantee will develop algorithms to automatically detect and record grade crossing parameters and traffic control devices in the vicinity of railroad right-of-way

Who can apply

  • Others

Contact

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Key dates & funding
  • PostedJan 12, 2011
  • ClosesFeb 11, 2011
  • Award floor$0
  • Award ceiling$100,000
  • Expected awards1
  • CFDA20.313
Categories
Science and Technology and other Research and Development

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