Development of a sensor platform for roadway mapping : part b - mapping the road fog lines : final report.

Details

• Creators:
  Davis, Brian ; Donath, Max
• Corporate Creators:
  University of Minnesota. Dept. of Mechanical Engineering
• Corporate Contributors:
  Minnesota Local Road Research Board ; Minnesota. Dept. of Transportation. Research Services & Library
• Subject/TRT Terms:
  • Mobile computing
  • Global Positioning System
  • Satellite navigation systems
  • Computer vision
  • Rural areas
  • Driver support systems
  • Vehicle safety
  • Ran off road crashes
  • Lane departure warning systems
• Publication/ Report Number:
  MN/RC 2015-11 ; Final Report 2015-11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Minnesota
• Edition:
  Final report
• Corporate Publisher:
  Minnesota. Dept. of Transportation. Research Services & Library
• Abstract:
  Our objective is the development and evaluation of a low-cost, vehicle-mounted sensor suite capable of generating ; map data with lane and road boundary information accurate to the 10 cm (4 in) level. Such a map could be used for ; a number of different applications including GNSS/GPS based lane departure avoidance systems, smart phone ; based dynamic curve speed warning systems, basemap improvements, among others. ; The sensor suite used consists of a high accuracy GNSS receiver, a side-facing video camera, and a computer. ; Including cabling and mounting hardware, the equipment costs were roughly $30,000. Here, the side-facing camera ; is used to record video of the ground adjacent to the passenger side of the vehicle. The video is processed using a ; computer vision algorithm that locates the fog line within the video frame. Using vehicle position data (provided by ; GNSS) and previously collected video calibration data, the fog line is located in real-world coordinates. ; The system was tested on two roads (primarily two-lane, undivided highway) for which high accuracy (<10 cm) ; maps were available. This offset between the reference data and the computed fog line position was generally ; better than 7.5 cm (3 in). ; The results of this work demonstrate that it is feasible to use a camera to detect the position of a road’s fog lines, or ; more broadly any other lane markings, which when integrated into a larger mobile data collection system, can ; provide accurate lane and road boundary information about road geometry.
  More +
• Format:
  PDF
• Funding:
  CTS Project #2014019 ; (c) 99008 (wo) 115
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32166/dot_32166_DS1.pdf
• File Type:
  [PDF - 2.64 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:dc0b08d533415aea522ca2ac4ea4102e81c745e9e74c2ee8727bd533fd5af03f