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.
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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
- GrantSolutions Help Desk Phone Number: 1-866-577-0771 Hours of operation are Monday-Friday from 9:00 a.m. to 6:00 p.m. Eastern Standard [email protected]
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