Connected Vision for Increased Pedestrian Safety (CVIPS)

Details

• Creators:
  Bhagavatula, VIjayakumar ; Sankaranarayanan, Aswin ; Shenkut, Dereje
• Corporate Creators:
  Carnegie Mellon University ; Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Corporate Contributors:
  United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. University Transportation Centers (UTC) Program
• Subject/TRT Terms:
  • Pedestrians
  • Pedestrian detectors
  • Pedestrian safety
  • Perception
  • Communication
  • Algorithms
  • Cameras
  • Machine vision
  • Mobile communication systems
  • Vulnerable road users
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 1, 2023-June 30, 2024)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  Pedestrian safety has become a critical concern due to the higher risk of serious injury they are prone to in traffic accidents. To improve traffic safety, one promising approach is to advance the level of autonomy in vehicles. This report presents the results of a preliminary investigation of the limitations of single agent-based perception systems for pedestrian detection and the potential of collaborative or cooperative perception to further improve pedestrian detection, and the impact of communication on collaborative perception.
• Format:
  PDF
• Funding:
  69A3552344811
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77491/dot_77491_DS1.pdf
• File Type:
  [PDF - 5.41 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:46eaeb73ab0ff74fdb80444f5213bd95b6269fa05ae1b359139288f2a16509afb0a4adbfdf0d810c08360a861c0d2c980b69c98989e35b874754c426649b86d4