This grant is for the purpose of funding Phase 2 of an ongoing project conducted in collaboration with the University of Michigan, serving as a continuation of previous grant DTFR53-09-G-00046. The primary objective is to utilize cutting-edge LIDAR data technology to develop sophisticated algorithms. These algorithms are designed to automatically detect, analyze, and precisely record crucial grade crossing parameters and essential traffic control devices. This work specifically targets elements situated within the immediate vicinity of railroad rights-of-way, aiming to significantly improve the efficiency and accuracy of infrastructure data collection for enhanced safety and operational management.
Opportunity ID: 64313
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | FR-RRD-11-001 |
| Funding Opportunity Title: | Automated Extraction of Grade Crossing Features from LIDAR Data – Phase 2 |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | 1 |
| Assistance Listings: | 20.313 — Railroad Research and Development |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jan 12, 2011 |
| Last Updated Date: | – |
| Original Closing Date for Applications: | Feb 11, 2011 No Explanation |
| Current Closing Date for Applications: | Feb 11, 2011 No Explanation |
| Archive Date: | Mar 13, 2011 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | $100,000 |
| Award Floor: | $0 |
Eligibility
| Eligible Applicants: | 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. |
Additional Information
| Agency Name: | DOT – Federal Railroad Administration |
| 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 |
| Link to Additional Information: | Automated Extraction of Grade Crossing Features from LIDAR Data – Phase 2 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please 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 Time Email:help@grantsolutions.gov |
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