Robotic Inspection for Vehicle-Borne Contraband

Abstract

Vehicle-borne smuggling is widespread because of the availability, flexibility and capacity of the cars and trucks. Inspecting vehicles at border crossings and checkpoints are key security elements. At the present time, most vehicle security inspections at home and abroad are conducted manually. Remotely operated vehicle inspection robots could be integrated into the operating procedures to improve throughput while reducing the workload burden on security personnel. The robotic inspection must be effective at detecting contraband and efficient at clearing the "clean" vehicles that make up the bulk of the traffic stream, while limiting the workload burden on the operators. In this paper, we present a systems engineering approach to robotic vehicle inspection. We review the tactics, techniques and procedures to interdict contraband. We present an operational concept for robotic vehicle inspection within this framework, and identify needed capabilities. We review the technologies currently available to meet these needs. Finally, we summarize the immediate potential and R&D challenges for effective contraband detection robots.

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Document Details

Document Type
Technical Report
Publication Date
Mar 29, 2006
Accession Number
ADA522162

Entities

People

  • G. Gerhart
  • Gary Witus
  • H. Andrusz
  • W. Smuda

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Computer Programs
  • Control Systems
  • Detection
  • Detectors
  • Explosive Ordnance Disposal
  • Explosives
  • Information Operations
  • Military Operations
  • Packaging
  • Passengers
  • Physical Security
  • Raman Spectroscopy
  • Spectroscopy
  • Systems Engineering
  • Unmanned Vehicles
  • Vehicles
  • Visual Inspection

Fields of Study

  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Government and Public Administration Law.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs