Perception Sharing for Cooperative Driving Automation (CDA)

Details

• Corporate Creators:
  United States. Department of Transportation. Federal Highway Administration
• Corporate Contributors:
  United States. Department of Transportation. Federal Highway Administration. Turner-Fairbank Highway Research Center
• Subject/TRT Terms:
  • Perception
  • Automated vehicle control
  • Sensors
  • Highway safety
• Publication/ Report Number:
  FHWA-HRT-25-092
• DOI:
  https://doi.org/10.21949/vgyc-ny64
• Resource Type:
  Brief
• Right Statement:
  Public Domain
• Geographical Coverage:
  United States
• Corporate Publisher:
  United States. Department of Transportation. Federal Highway Administration
• Abstract:
  In 2023, pedestrian and bicyclist fatalities together made up about 21 percent of all traffic fatalities in the United States. Both drivers and automated vehicles often have blind spots or limited sight lines where they cannot see vulnerable road users. These visual limitations potentially contribute to those incidents. Cooperative perception can help drivers and automated vehicles perceive vulnerable road users, other vehicles, obstacles on the road, and other objects by allowing vehicles and infrastructures to share the location data of nearby objects and additional helpful information with other roadway entities. For example, in Figure 1, a roadside sensor can detect a pedestrian in a crosswalk and send nearby vehicles a message informing them of the vulnerable road user. Nearby vehicles can then determine if the pedestrian is a hazard and can provide a warning to their driver or perform an automated maneuver to ensure a crash is avoided.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87346/dot_87346_DS1.pdf
• File Type:
  [PDF - 657.43 KB]
• Collection(s):
  Federal Highway Administration
• Main Document Checksum:
  urn:sha-512:864c275934fe8aa5d782fdfdfc493f188f65f31ac17bc862913eead5f9179ce22abd0a55d0b2c5f3b5402583466f38a1e9e68fa5f490f68329e310c0d1c31f7e