Cooperative perception that integrates sensing capabilities from both infrastructure and vehicles can greatly benefit the transportation system in terms of safety and data acquisition. In this project, a prototype of such a system was developed and evaluated by integrating a Lidar-based infrastructure detection system (facilitated with a portable Traffic Scanner, TScan) with an SAE Level 4 connected and automated vehicle (CAV). Vehicle-to-everything (V2X) communication devices were installed on both the TScan and the CAV to enable real-time message transmission of detection results in the form of SAE J2735 Basic Safety Messages (BSMs). The prototype system was validated using a case study. This aimed at improving CAV situation awareness and protecting vulnerable road user (VRU) safety. The field-testing results demonstrated the benefit of cooperative perception from infrastructure sensors in detecting the occluded VRU and helping the CAV plan safer and smoother trajectories.
United States. Federal Highway Administration. Office of Safety and Operations Research and Development
2024-01-01
Abstract:
This fact sheet provides an overview of the test case that proves the benefits of CDA application in stop-controlled intersections. While the research...
Connected vehicles have the potential to transform the way Americans travel byallowing cars, buses, trucks, trains, traffic signals, smart phones, and...
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