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Autonomy Safety Testing Environment

Award Information
Agency: Department of Defense
Branch: Army
Contract: W56HZV-14-C-0199
Agency Tracking Number: O141-AU4-2072
Amount: $149,952.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD14.1-AU4
Solicitation Number: 2014.1
Timeline
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-07-02
Award End Date (Contract End Date): 2015-01-02
Small Business Information
MA Suite 400
Cambridge, MA 02138-4946
United States
DUNS: 007341493
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 James English
 CTO
 (888) 547-4100
 jde@energid.com
Business Contact
 James Bacon
Title: CFO
Phone: (888) 547-4100
Email: jab@energid.com
Research Institution
 Stub
Abstract

Energid Technologies proposes an alternative simulation concept for testing and validating convoy automation algorithms. Verifying large-vehicle automation completely, to the point of enabling fielding, is a big task. Due to the level of confidence needed--there must be no runaway large vehicles--it requires thoroughness that is not immediately practical using traditional hardware facilities alone. Traditional simulation, even Monte Carlo simulation, fails to completely solve this problem, as for complex scenarios it inevitably uses imperfect probability distributions for unknown parameters and inadequately samples those parameters when the dimensionality is high. Energid proposes a randomizing-optimizing technique to address these problems for convoy algorithm validation. With it, anomalies and corner cases that cause convoy failure are actively sought algorithmically. In the approach, simulation-based testing is cast as an optimization problem over a configurable metric on statistical outcomes. By optimizing for selectively bad output statistics, the parameters that give anomalous behavior are found. As proposed, this method is combined with high fidelity vehicle dynamics and terrain simulation, as well as GPU-based sensor simulations for cameras, lidar, and radar. The overall design is implemented for demonstration, with results supported through module and system validation.

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

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