Precision Mapping of the California Connected Vehicle Testbed Corridor

Details

• Creators:
  Farrell, Jay ; Barth, Matthew J.
• Corporate Creators:
  University of California, Riverside. Center for Environmental Research and Technology
• Corporate Contributors:
  California. Department of Transportation ; California. Business, Transportation, and Housing Agency
• Subject/TRT Terms:
  • Algorithms
  • Digital maps
  • Global Positioning System
  • Image analysis
  • Information processing
  • Intersections
  • Laser radar Connected vehicles
• Publication/ Report Number:
  CA16-2777
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States;San Francisco Bay Area
• Edition:
  Final Report
• Corporate Publisher:
  California. Department of Transportation
• Abstract:
  In this project the University of California Riverside mapping sensor hardware was successfully mounted on an instrumented vehicle to map a segment of the California Connected Vehicle testbed corridor on State Route 82. After calibrating the sensor platform, the instrumented vehicle was driven repeatedly up and down the corridor of interest, collecting raw point cloud data on the on- board data servers. Then, after a sufficient amount of data was collected, the raw point cloud data was processed, and feature extraction algorithm was used to extract the precise positions of stop bars on the selected intersection.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/34709/dot_34709_DS1.pdf
• File Type:
  [PDF - 2.23 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:876de3becc907cde4497017b8b8414fb4c427e543a0267f43ff511ad83fe7ee0694efad8f54972e98546602248400da0c529f0104b2e326d7b288a7b14ddc297