Map based localization to assist commercial fleet operations.

Details

• Creators:
  Brown, Alexander ; Leary, Bobby ; Corbin, David ; Brennan, Sean
• Corporate Creators:
  Thomas D. Larson Pennsylvania Transportation Institute
• Corporate Contributors:
  Volvo Group ; United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Traffic lanes
  • Detection and identification systems
  • Advanced driver information systems
  • Mapping
  • Algorithms
  • Trucks
  • Sensors
  • Data fusion
• Publication/ Report Number:
  PSU-2013-08
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mid-Atlantic Universities Transportation Center
• Abstract:
  This report outlines key recent contributions to the state of the art in lane detection, lane departure warning, ; and map-based sensor fusion algorithms. These key studies are used as a basis for a discussion about the ; limitations of systems that do not take advantage of map information, and outlines ways in which current map-based technologies can be improved. Finally, the methodology proposed for the development of a lane ; departure warning system that tightly integrates map, inertial, and vision sensors is described, followed by a ; rough outline of project timeline and scope.
• Format:
  PDF
• Funding:
  SRA 151518
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29187/dot_29187_DS1.pdf
• File Type:
  [PDF - 8.06 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:00ffa5292cbd4cfaab3e78b05453dc3ebe8ec41ba8c8a9628ace52dd36abdefe