NASA SBIR 2022-I Solicitation

Proposal Summary

Proposal Information

Proposal Number:
22-1- A3.04-1635
Subtopic Title:
Nontraditional Airspace Operations and Aerial Wildfire Response
Proposal Title:
Precision Retardant Delivery

Small Business Concern

12030 Sunrise Valley Drive, Suite 320, Reston, VA 20191
(571) 217-4853                                                                                                                                                                                

Principal Investigator:

Mr. Cory Pendergraft
12030 Sunrise Valley Dr, STE 320, VA 20191 - 1256
(469) 687-9312                                                                                                                                                                                

Business Official:

Adam Grimm
12030 Sunrise Valley Dr, STE 320, VA 20191 - 1256
(571) 217-4853                                                                                                                                                                                

Summary Details:

Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 2
End: 3
Technical Abstract (Limit 2000 characters, approximately 200 words):

KIHOMAC proposes to develop a Precision Retardant Delivery system for to improve the safety and efficiency of aerial firefighting. The proposed system will calculate the optimal aircraft vector for a retardant drop taking into account environmental variables, aircraft capabilities and desired retardant effects. The system will calculate and provide steering cues to the air tanker pilot to the calculated release point, ensuring an optimal drop of retardant.

Our proposed system leverages NASA research into ground collision avoidance and furthers the state of the art by implementing a "forward-look" algorithm to deconflict steering cues with known obstacles. The combination of advanced ground collision avoidance with calculated drop vectors will reduce pilot workload and increase safety during critical low-level flight operations.

Our Phase I effort will focus on advancing prior algorithmic work and demonstrating the feasibility of the approach in four key areas:

  1. Retardant plume modeling.
  2. Optimal path prediction for ground collision avoidance.
  3. Algorithm scalability and implementation of off the shelf hardware.
  4. Post-drop analysis effectiveness.
Potential NASA Applications (Limit 1500 characters, approximately 150 words):

Improvement of airspace operations during aerial firefighting through the reduction in re-attacks after missed drops. Improved safety and efficiency of aerial firefighting, resulting in reduced costs, earlier fire containment and lower environmental impact.

Potential Non-NASA Applications (Limit 1500 characters, approximately 150 words):

Increased efficiency and reduced costs for domestic and international aerial firefighting, both Governmental and commercial. Improved safety for operators of air tankers and lead planes.

Duration:     6

Form Generated on 05/25/2022 15:40:43