Cooperative Perception of Road-Side Unit and Onboard Equipment with Edge Artificial Intelligence for Driving Assistance

Environment perception and understanding remains to a challenge for (Advanced Driver Assistance Systems) ADAS. Specifically, precise 3-D detection of vehicles and pedestrians, and understanding road users’ intentions, are needed for roadway traffic decision making and parking assistance. Multiple challenges can be solved by fusing the real-time data of on-board sensors and road-side units instead of solely relying on onboard sensing technologies. The objective of this project is to develop a cooperative perception system that fuses data from on-board and road-side units. Considering the limited computational and storage resources on the edge-side, edge-device-based artificial intelligence algorithms will be developed and employed for enhancing the efficiency of the proposed methods without losing accuracy.


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Filing Info

  • Accession Number: 01738834
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: USDOT 69A3551747124
  • Files: UTC, RIP
  • Created Date: May 5 2020 8:59AM