Opportunity Information: Apply for FR RRD 11 001

  • The DOT/Federal Railroad Administration in the science and technology and other research and development sector is offering a public funding opportunity titled "Automated Extraction of Grade Crossing Features from LIDAR Data Phase 2" and is now available to receive applicants.
  • Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 20.313 Railroad Research and Development.
  • This funding opportunity was created on Jan 12, 2011 and posted on Jan 12, 2011.
  • Applicants must submit their applications by Feb 11, 2011 No Explanation. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
  • Each selected applicant is eligible to receive up to $100,000.00 in funding.
  • The number of recipients for this funding is limited to 1 candidate(s).
  • Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
  • Only the University of Michigan is eligible to apply for this grant.
Apply for FR RRD 11 001

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Opportunity Summary:

The Automated Extraction of Grade Crossing Features from LIDAR Data Phase 2 opportunity (Funding Opportunity Number FR RRD 11 001) was a discretionary research grant offered by the U.S. Department of Transportation, Federal Railroad Administration (FRA), under CFDA 20.313 (Railroad Research and Development). It was posted on January 12, 2011, and closed on February 11, 2011, with an archive date of March 13, 2011. The program anticipated making a single award, with a maximum federal funding level (award ceiling) of $100,000 and no minimum award amount specified (award floor $0). Cost sharing or matching funds were not required.

This grant was structured as a continuation of an earlier FRA-funded project (DTFR53 09 G 00046) conducted with the University of Michigan, specifically to support the second phase of that work rather than to open a broad competition. In line with that continuation purpose, eligibility was limited to one institution: only the University of Michigan could apply.

The technical goal of Phase 2 was to advance the development of automated methods that use LIDAR (Light Detection and Ranging) data to identify and document features associated with highway-rail grade crossings. The work focused on creating algorithms capable of automatically detecting and recording grade crossing parameters as well as traffic control devices located near the railroad right of way. In practical terms, the project aimed to improve how crossing-related infrastructure and safety-relevant elements are recognized from remote sensing data, reducing reliance on manual surveys and enabling more consistent, scalable inventory and assessment of crossing conditions.

For administrative support, the announcement directed applicants experiencing difficulty accessing the full electronic notice to the GrantSolutions Help Desk, available by phone at 1-866-577-0771 during business hours (9:00 a.m. to 6:00 p.m. Eastern, Monday through Friday) or by email at help@grantsolutions.gov.

Frequently Asked Questions (FAQs)

What is the official name of this grant opportunity?

The opportunity is titled "Automated Extraction of Grade Crossing Features from LIDAR Data Phase 2."

What is the Funding Opportunity Number (FON)?

The Funding Opportunity Number is FR RRD 11 001.

Which federal agency offered this grant?

This was a discretionary research grant offered by the U.S. Department of Transportation (DOT), Federal Railroad Administration (FRA).

What CFDA program is associated with this opportunity?

The opportunity is associated with CFDA 20.313, Railroad Research and Development.

What kind of funding opportunity is this?

It is a discretionary research grant.

When was the opportunity posted?

The opportunity was posted on January 12, 2011.

When did the application period close?

The opportunity closed on February 11, 2011.

When was the opportunity archived?

The archive date was March 13, 2011.

How many awards did the program anticipate making?

The program anticipated making a single award.

What was the maximum federal funding available (award ceiling)?

The maximum federal funding level (award ceiling) was $100,000.

Was there a minimum award amount (award floor)?

No minimum award amount was specified. The award floor was listed as $0.

Were cost sharing or matching funds required?

No. Cost sharing or matching funds were not required.

Was this opportunity intended as an open competition?

No. The grant was structured as a continuation of an earlier FRA-funded project and was intended to support the second phase of that work rather than to open a broad competition.

What earlier project did this grant continue?

This Phase 2 effort continued an earlier FRA-funded project identified as DTFR53 09 G 00046, conducted with the University of Michigan.

Who was eligible to apply?

Eligibility was limited to one institution: only the University of Michigan could apply.

Why was eligibility limited to only one institution?

Because the grant was specifically designed to continue and expand an existing FRA-funded project conducted with the University of Michigan, the announcement limited eligibility to that institution to support Phase 2 of the established work.

What was the technical goal of Phase 2?

The technical goal was to advance automated methods that use LIDAR (Light Detection and Ranging) data to identify and document features associated with highway-rail grade crossings.

What types of outputs or capabilities was the project aiming to develop?

The project focused on creating algorithms capable of automatically detecting and recording grade crossing parameters, as well as identifying traffic control devices located near the railroad right of way.

What is meant by "automated extraction" in this context?

In this context, "automated extraction" refers to using algorithms to detect and document crossing-related infrastructure and safety-relevant elements directly from LIDAR data, rather than relying on manual field surveys.

What practical problem was this work trying to address?

The work aimed to improve how crossing-related infrastructure and safety-relevant elements are recognized from remote sensing data, reducing reliance on manual surveys and enabling more consistent and scalable inventory and assessment of grade crossing conditions.

What data source was central to the project?

LIDAR (Light Detection and Ranging) data was the central data source for the automated detection and documentation methods.

What is LIDAR, as referenced in the announcement?

LIDAR stands for Light Detection and Ranging.

Which help desk was listed for issues accessing the full electronic notice?

The announcement directed applicants to the GrantSolutions Help Desk for assistance with difficulty accessing the full electronic notice.

What is the phone number for the GrantSolutions Help Desk?

The phone number is 1-866-577-0771.

What were the GrantSolutions Help Desk hours?

Business hours were 9:00 a.m. to 6:00 p.m. Eastern, Monday through Friday.

What is the email address for the GrantSolutions Help Desk?

The email address is help@grantsolutions.gov.

What should an applicant do if they cannot access the full electronic notice?

They should contact the GrantSolutions Help Desk using the provided phone number or email during the stated business hours.

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