Guaranteed LiDAR-aided multi-object tracking at road intersections : USDOT Region V Regional University Transportation Center final report.

Details

• Creators:
  Tarko, Andrew P. ; Ariyur, Kartik B. ; Romero, Mario ; Bandaru, Vamsi Krishna ; Jimenez, Christian Lizarazo
• Corporate Creators:
  NEXTRANS Center (U.S.)
• Subject/TRT Terms:
  • Data collection
  • Intersections
  • Feasibility analysis
  • Lasers
  • Scanners
  • Sensors
  • Signal processing
  • Algorithms
  • User interfaces (Computer science)
  • Performance measurement
• Resource Type:
  Tech Report
• Geographical Coverage:
  Indiana
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• Abstract:
  The ability to accurately measure and cost-effectively collect traffic data at road intersections is needed to improve their safety and operations. This study investigates the feasibility of using laser ranging technology (LiDAR) for this purpose. The proposed technology does not experience some of the problems of the current video-based technology but less expensive lowend sensors have limited density of points where measurements are collected that may bring new challenges. A novel LiDAR-based portable traffic scanner (TScan) is introduced in this report to detect and track various types of road users (e.g., trucks, cars, pedestrians, and bicycles). The scope of this study included the development of a signal processing algorithm and a user interface, their implementation on a TScan research unit, and evaluation of the unit performance to confirm its practicality for safety and traffic engineering applications.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31744/dot_31744_DS1.pdf
• File Type:
  [PDF - 7.81 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:3bc2fc9c8d264367a788006c00f59ed0e7abd78c7cd7a4cb8742636e22b76cd8