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Station-keeping using Perception and Relative Image-based Navigation and Tracking (SPRINT)

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W911NF-19-C-0028
Agency Tracking Number: D18C-006-0030
Amount: $224,775.10
Phase: Phase I
Program: STTR
Solicitation Topic Code: ST18C-006
Solicitation Number: 18.C
Timeline
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-03-28
Award End Date (Contract End Date): 2020-01-27
Small Business Information
500 West Cummings Park Suite 3000
Woburn, MA 01801
United States
DUNS: 859244204
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jovan Boskovic
 Principal Research Engineer
 (781) 933-5355
 Jovan.Boskovic@ssci.com
Business Contact
 Lora Loyall
Phone: (781) 933-5355
Email: contracts@ssci.com
Research Institution
 Massachusetts Institute of Technology
 Stacey Sullaway Stacey Sullaway
 
77 Massachusetts Avenue Building NE18-901
Cambridge, MA 02139
United States

 (617) 324-7210
 Nonprofit college or university
Abstract

SSCI and MIT propose to perform initial design and testing of an innovative tightly-coupled vison and GNC system for follower vehicles to achieve safe approach and station-keeping with the lead vehicle within some range tolerance and inside a 60 degree cone, under leader maneuvers and vehicle capability constraints. The resulting system is referred to as the SPRINT (Station-keeping using Perception and Relative Image-based Navigation and Tracking), and is an autonomous system whose role is to safely and efficiently transition the follower vehicles from some known initial positions to station-keeping, and maintain the desired separation under lead vehicle maneuvers using vision only. The project will specifically focus on trade studies for performance analysis of the integrated system under different vision system properties and constraints, leader and follower vehicle capabilities, and characteristics of the proposed GNC algorithms under lead vehicle maneuvering. Under the project we will develop system architecture, requirements and metrics; vision-based algorithms for position and pose estimation; and guidance and control algorithms for safe approach and station keeping with the maneuvering leader. We will also perform simulation analysis and testing and initial hardware testing. Phase II will focus on the further maturation and testing of SPRINT in a relevant environment.

* Information listed above is at the time of submission. *

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