Adapting U.S. Army Acquisition to Ensure the Reliability and Safety of Autonomous Vehicles

Abstract

This report presents several challenges that the U.S. Army will face in the transition to autonomous vehicles challenges that are only magnified in the current acquisition environment with limited testing. Artificial intelligence algorithms introduce additional complexity, resulting in systems with a complex combination of human, machine, and autonomous controllers. The acquisition process for these autonomous vehicles will require a different approach to ensure that these systems are safe and reliable. Employing a systems view that appropriately considers the complexity of the interactions, along with a combination of currently available tools and techniques early in the development of these systems, is vital to the success of the programs. This will enable the Army to efficiently acquire these capabilities while also providing assurance that they will function as intended.

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Document Details

Document Type
Technical Report
Publication Date
Jun 07, 2023
Accession Number
AD1203243

Entities

People

  • Martin Wayne
  • Nathan Herbert
  • Patiana Theragene

Tags

Readers

  • Maritime Combat Support and Expeditionary Logistics.
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy