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

The summary for the Automated Extraction of Grade Crossing Features from LIDAR Data - Phase 2 grant is detailed below. This summary states who is eligible for the grant, how much grant money will be awarded, current and past deadlines, Catalog of Federal Domestic Assistance (CFDA) numbers, and a sampling of similar government grants. Verify the accuracy of the data FederalGrants.com provides by visiting the webpage noted in the Link to Full Announcement section or by contacting the appropriate person listed as the Grant Announcement Contact. If any section is incomplete, please visit the website for the DOT Federal Railroad Administration, which is the U.S. government agency offering this grant.
Automated Extraction of Grade Crossing Features from LIDAR Data - Phase 2: 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
Federal Grant Title: Automated Extraction of Grade Crossing Features from LIDAR Data - Phase 2
Federal Agency Name: DOT Federal Railroad Administration
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: FR-RRD-11-001
Type of Funding: Grant
CFDA Numbers: 20.313
CFDA Descriptions: Railroad Research and Development
Current Application Deadline: Feb 11, 2011 No Ex
Original Application Deadline: Feb 11, 2011 No Ex
Posted Date: Jan 12, 2011
Creation Date: Jan 12, 2011
Archive Date: Mar 13, 2011
Total Program Funding:
Maximum Federal Grant Award: $100,000
Minimum Federal Grant Award: $0
Expected Number of Awards: 1
Cost Sharing or Matching: No
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification)
Additional Information on Eligibility
Only the University of Michigan is eligible to apply for this grant.
Link to Full Grant Announcement
Information not provided
Grant Announcement Contact
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