Heterogeneous Multi-Robot Multi-Sensor Platform for Intruder Detection

Abstract

Localization of mobile sensors such as service robots in tactical mobile sensor networks is important because the location of mobile sensors is a critical input to many higher-level tasks, such as intruder detection, tracking, monitoring and geometric based protection. In this year's work, we focused on the following research tasks: (1) we developed and deployed a prototype of the localization system in the ECE Dept. at Stevens for both 802.11 (WiFi) networks as well as 802.15.4 (ZigBee) networks to localize the mobile sensor nodes; (2) we investigated the performance of wireless localization using signal strength on commodity hardware embedded in mobile robots.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2009
Accession Number
ADA523098

Entities

People

  • Yingying Chen

Organizations

  • Stevens Institute of Technology

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Bayesian Networks
  • Computational Science
  • Computer Vision
  • Computers
  • Control Systems
  • Data Mining
  • Detection
  • Detectors
  • Information Science
  • Information Systems
  • Machine Learning
  • Neural Networks
  • Particle Swarm Optimization
  • Sensor Networks
  • Two Dimensional
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Research Science/Academic Research
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy