Thermal, Lidar and Radar data for Sensor Fusion in Adverse Visibility Conditions (04-117) [supporting dataset]

Project Description: The goal of this project was to explore the use of thermal cameras to improve vehicle detection in adverse weather conditions for autonomous driving. Data Scope: Multiple ROS (Robot Operating System) bag files that contain video data from five FLIR thermal cameras, Ouster OS1-128 Lidar, a Blackfly RGB camera and a Delphi ESR forward facing radar, along with vehicle CAN bus data. The dataset contains scenes of driving directly into sunlight and night-time driving in and around College Station, Texas.

• Dataset URL:
  https://doi.org/10.15787/VTT1/B3VKEA
• Record URL:
  https://safed.vtti.vt.edu/wp-content/uploads/2021/12/04-117-Final-Report-Draft-Ready-for-Site.pdf
• Supplemental Notes:
  • The dataset supports report: A Sensor Fusion and Localization System for improving Vehicle Safety in Challenging Weather Conditions, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Safety Through Disruption University Transportation Center (Safe-D)

  Texas A&M Transportation Institute
  College Station, TX  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Singh, Abhay
  • 0000-0003-4525-3258
  • Vegamoor, Vamsi Krishna
  • 0000-0003-2100-5022
  • Rathinam, Sivakumar
  • 0000-0002-9223-7456
• Publication Date: 2022-1-3

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1.0 Integrity Hash:
• Dataset publisher:

  Dataverse

  ,    

Subject/Index Terms

• TRT Terms: Autonomous vehicles; Data; Laser radar; Sensors; Thermal imagery; Vehicle detectors; Video
• Geographic Terms: College Station (Texas)
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01839079
• Record Type: Publication
• Contract Numbers: 69A3551747115
• Files: UTC, TRIS, ATRI, USDOT
• Created Date: Mar 21 2022 10:03AM