Awards Registry

Cooperative Unpredictable Motion for Surveillance of Uncertain GPS-Denied Environments
Profile last edited on: 7/19/2022

Program
STTR
Agency
AF
Total Award Amount
$800,000
Award Phase
2
Principal Investigator
Zahra Ahmadabadi
Activity Indicator

Company Information

Starnav LLC

3499 10th Street Suite 6
Riverside, CA 92501
   (316) 285-3658
   support@starnav.io
   www.starnav.io
Multiple Locations:   
Congressional District:   41
County:   Riverside

Phase I

Phase I year
2021
Phase I Amount
$50,000
This project proposes a software solution that enables a swarm of cooperating aerial vehicles to perform surveillance of unknown hostile environments during GPS denial. Cooperative exploration of adversarial environments poses significant challenges: (i) the vehiclesÂ’ motion can be tracked, leading to the vehicle being destroyed or captured, (ii) GPS can be jammed or spoofed, or (iii) communications can be detected. The proposed solution will address these challenges by: (i) minimizing successful attacks by generating unpredictable trajectories that are tuned to possible attacks in the area, (ii) enabling relative localization in GPS denial, and (iii) minimizing communication events.

Phase II

Phase II year
2022 (last award dollars: 2022)
Phase II Amount
$750,000
___(NOTE: Note: no official Abstract exists of this Phase II projects. Abstract is modified by idi from relevant Phase I data. The specific Phase II work statement and objectives may differ)___ This project proposes a software solution that enables a swarm of cooperating aerial vehicles to perform surveillance of unknown hostile environments during GPS denial. Cooperative exploration of adversarial environments poses significant challenges: (i) the vehiclesÂ’ motion can be tracked, leading to the vehicle being destroyed or captured, (ii) GPS can be jammed or spoofed, or (iii) communications can be detected. The proposed solution will address these challenges by: (i) minimizing successful attacks by generating unpredictable trajectories that are tuned to possible attacks in the area, (ii) enabling relative localization in GPS denial, and (iii) minimizing communication events.