Proposal Number:          21-1- A1.09-1429

          

          

   

Subtopic Title:
      Vehicle Sensor Systems to Enable Situational Awareness

          

          

   

Proposal Title:
      Autonomous Decision Support System for Sense and Avoid (ADeSSSA)

          

          

   

Firm:

          

GreenSight Agronomics, Inc.

          

   

Address:

          

12 Channel Street, Suite 605, Boston, MA 02210

          

   

Phone:

          

(617) 633-4919                                                                                                                                                                                

          

   

Name:

          

James Peverill

          

   

E-mail:

          

james@greensightag.com

          

   

Address:

          

12 Channel St, Suite 605, MA 02210 - 2318

          

   

Phone:

          

(339) 237-1291                                                                                                                                                                                

          

   

Name:

          

Joel Pedlikin

          

   

E-mail:

          

Joel@greensightag.com

          

   

Address:

          

12 Channel St, Suite 605, MA 02210 - 2318

          

   

Phone:

          

(617) 633-4919                                                                                                                                                                                

          

   

Estimated Technology Readiness Level (TRL) :                                                                                                                                                          
Begin: 2
End: 5

          

          

     

Technical Abstract (Limit 2000 characters, approximately 200 words):

GreenSight proposes ADeSSSA, the Autonomous Decision Support System for Sense and Avoid, a novel approach for unmanned aircraft sense and avoid, combining wide field of view visual sensors with acoustic sensing to improve the effectiveness of the resulting implementation while reducing its Size, Weight, Power and Cost implementation. GreenSight intends to use a mix of deep learning techniques to build an ideal classifier that ingests samples that combine the visual and acoustic sensors into a visual representation. ADS-B transponder data is incorporated as both a source of low-false positive data and as a filter to facilitate automated gathering of training data.
ADeSSSA is designed to accommodate low SWaPC applications such as unmanned aircraft as small as 2kg, a niche that is currently unoccupied. There are no practical sense and avoid systems on the market for platforms this small, which is currently hurting the growth of the commercial UAS market, and slowing NASA and the FAA's efforts to build an integrated next generation airspace which integrates these smaller aircraft. GreenSight maintains a network of over 100 automated UAS which currently operate daily in the US, Canada, Europe and Japan. Once ADeSSSA is ready for field use, GreenSight can immediately deploy the system to its entire network, instantly becoming the most widely deployed UAS SAA system in the world and enabling it to rapidly mature with extensive field testing to find and correct weaknesses in the implementation.

          

          

     

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

ADeSSSA addresses NASA requirements to enable low-SWaPC sense and avoid technology, as well as furthering efforts to modernize the national airspace and integrate unmanned aircraft with the current manned aircraft-centric system. ADeSSSA enables next generation Urban Air Mobility and Advanced Aerial Mobility systems, while also furthering the ability of commercial UAS in markets where fear of collisions is restricting flight operations that are otherwise safe.

          

          

     

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

ADeSSSA has extensive applications in both military and commercial UAS. GreenSight envisions integrating the system with all of its existing UAV products, from the 2kg Dreamer to the 200kg EndureMax. Beyond this, GreenSight intends to commercialize and sell ADeSSA for unmanned aircraft of a variety of sizes operating in mixed airspace, becoming the global standard for onboard UAV sense and avoid.

          

          

     

Duration:     6