Stationary LiDAR for Traffic and Safety Applications – Vehicles Interpretation and Tracking

Details

• Creators:
  Tarko, Andrew P. ; Ariyur, Kartik B. ; Romero, Mario A. ; Bandaru, Vamsi Krishna ; Liu, Cheng
• Corporate Creators:
  NEXTRANS Center (U.S.)
• Corporate Contributors:
  United States. Dept. of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Laser radar
  • Sensors
  • Microscopic traffic flow
  • Intersections
  • Traffic data
  • Automatic vehicle detection and identification systems
  • Turning traffic
  • Feasibility analysis
  • Research Hub
• Publication/ Report Number:
  NEXTRANS Project No. 134PY2.1
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  NEXTRANS Center (U.S.)
• Abstract:
  The goal of the T-Scan project is to develop a data processing module for a novel LiDAR-based traffic scanner to collect highly accurate microscopic traffic data at road intersections. T-Scan uses Light Detection and Ranging (LiDAR) technology that can detect and track various types of road users, including buses, cars, pedestrians, and bicycles; and, unlike video detection, it does not experience the well-known occlusion problem. Moreover, LiDAR data has a one-to-one correspondence with the physical world, which makes it possible in principle to produce the positions and velocities of road users in real-time as needed for traffic and safety applications, with the errors of estimation dependent only on the resolution and accuracy of the LiDAR sensor.
• Format:
  PDF
• Funding:
  DTRT07-G-005
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28199/dot_28199_DS1.pdf
• File Type:
  [PDF - 2.14 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha256:c84aebb4c63c898bb42f6335e078a27fab6fcc4db30f7f226b47ceb80a226807