Assured Position, Navigation, and Timing (APNT) Vegetation Analysis and Support for Autonomous Vehicle Testing and GPS evaluation in Mixed Vegetation Terrain

The summary for the Assured Position, Navigation, and Timing (APNT) Vegetation Analysis and Support for Autonomous Vehicle Testing and GPS evaluation in Mixed Vegetation Terrain 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 Dept of the Army Corps of Engineers, which is the U.S. government agency offering this grant.
Assured Position, Navigation, and Timing (APNT) Vegetation Analysis and Support for Autonomous Vehicle Testing and GPS evaluation in Mixed Vegetation Terrain: Background: Understanding how Global Positioning System (GPS) signals are influenced by vegetation structure allows for the determination of how specific technologies might be affected in certain forested environments. The work we are seeking shall involve creating detailed vegetation structure models and assessment of GPS coverage to support assured position, navigation, timing (APNT) activities and tests in forested and mixed topographic relief areas. Brief Description of Anticipated Work: Provide detailed vegetation data analysis for assessment of loss and degraded GPS signals which could include canopy structure, speciation, and dimensionality. Applicant would create and supply these data prior to APNT field tests and would provide technical assistance in analyzing vegetation during tests. 2) Provide field base of operations for position, navigation, and timing experiments including outdoor space, laboratory space (computer, wet, dry), wooded and non-wooded terrain drives, and collaboration space. Facilities must have high speed internet and availability for web conferencing. Local geodetic control monuments to aid in measurements and terrain input for maneuvers are required. 3) Provide access to spatial data including current and detailed aerial imagery and other field systems (web based), to assist in identifying and “pre-delineate” areas that would not be suitable for navigation experiments. 4) Acquire and provide access to on-site real-time data for experiments including, continually operated reference sites/real-time kinematic (CORS/RTK) GPS and real-time meteorological data with known geodetic control. 5) Provide access to dormitory facilities for use in multiday experiments. 6) Provide vessel support and crew for testing sensors for aquatic navigation
Federal Grant Title: Assured Position, Navigation, and Timing (APNT) Vegetation Analysis and Support for Autonomous Vehicle Testing and GPS evaluation in Mixed Vegetation Terrain
Federal Agency Name: Dept of the Army Corps of Engineers (DOD-COE)
Grant Categories: Science and Technology
Type of Opportunity: Discretionary
Funding Opportunity Number: W81EWF-22-SOI-0025
Type of Funding: Cooperative Agreement
CFDA Numbers: 12.630
CFDA Descriptions: Information not provided
Current Application Deadline: August 15th, 2022
Original Application Deadline: August 15th, 2022
Posted Date: June 24th, 2022
Creation Date: June 24th, 2022
Archive Date: December 30th, 2022
Total Program Funding:
Maximum Federal Grant Award: $75,000
Minimum Federal Grant Award: $0
Expected Number of Awards: 1
Cost Sharing or Matching: No
Last Updated: June 24th, 2022
Applicants Eligible for this Grant
Others (see text field entitled "Additional Information on Eligibility" for clarification.)
Additional Information on Eligibility
This opportunity is restricted to non-federal partners of the Chesapeake Watershed Cooperative Ecosystems Studies Unit (CESU).
Grant Announcement Contact
Stacy Thurman
Grantor
Stacy Thurman
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