Sensor Data Integrity and Mitigation of Perceptual Failures

Abstract

In the first part of this project, in 2008, large amounts of synchronised data were gathered from a representative UGV platform using a wide variety of sensing modalities (Fig. 1). These modalities included a visual camera, an infrared (IR) camera, laser range finders and a mm-wave radar. The data sets were collected from a UGV in the presence of challenging environmental conditions (such as the presence of airborne dust, smoke, rain). The collected data were then published, and are now extensively used for the developments of this new project. The general objective is to better understand and promote integrity and dependability of perceptual systems for unmanned ground vehicle (UGV) systems, to provide them with the ability to achieve long-term autonomous operations in off-road environments, including (and in particular) in challenging conditions.

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Document Details

Document Type
Technical Report
Publication Date
Feb 24, 2011
Accession Number
ADA537597

Entities

People

  • Thierry Peynot

Organizations

  • University of Sydney

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Airborne
  • Data Analysis
  • Data Sets
  • Detectors
  • Environment
  • Ground Vehicles
  • Information Operations
  • Intelligent Systems
  • Millimeter Wave Radar
  • Platforms
  • Point Clouds
  • Radar
  • Robotics
  • Unmanned Ground Systems
  • Unmanned Ground Vehicles
  • Unmanned Vehicles

Readers

  • Computer Vision.
  • Systems Analysis and Design
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Directed Energy