Unmanned Tracked Ground Vehicle for Natural Environments

Abstract

The deployment of an autonomous and teleoperated vehicle in tropical environments presents numerous challenges due to the extreme conditions encountered. This paper presents the transformation of a M113 Armored Personnel Carrier into an autonomous and teleoperated vehicle for operation in jungle-like conditions. The system was partitioned into functional systems: Vehicle Control/Mobility, Piloting, Visual Guidance, Teleoperation and Communications. Details of the system architecture and major components are included. Emphasis is made on the perception mechanisms developed for visual guidance, the vehicle conversion into a computer-controlled system and the implementation of navigation algorithms for localization and path planning. A suite of onboard active and passive sensors is used in the visual guidance system. Data fusion is performed on the outputs of the different types of the sensors. The fusion result fed to the path planner that generates heading and speed commands to maneuver the vehicle towards the desired position. The vehicle controller executes the speed and heading commands and ensures the vehicle fast and safe response. The results from field trials completed in tropical forest conditions that are unique to the region are included.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA432934

Entities

People

  • A. Malcolm
  • Alex Tay
  • Chun Wah Chen
  • J. Ibanez-guzman
  • X. Jian
  • Zheng Gong

Organizations

  • Singapore Institute of Manufacturing Technology

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Armored Personnel Carriers
  • Autonomous Navigation
  • Autonomous Systems
  • Autonomous Vehicles
  • Collision Avoidance
  • Computers
  • Control Systems
  • Detectors
  • Environment
  • Guidance
  • Inertial Measurement Units
  • Inertial Navigation
  • Inertial Navigation Systems
  • Motion Planning
  • Navigation
  • Vehicles

Fields of Study

  • Engineering

Readers

  • Robotics and Automation.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Autonomy