Intelligent Perception System for Vehicle-Road Cooperation
This addresses the problem of limited perception in autonomous driving for vehicles and infrastructure, though it appears incremental as an application of existing fusion methods to vehicle-road cooperation.
The paper tackles the bottleneck in individual vehicle autonomous driving by developing a vehicle-road cooperation system using lidar data fusion to expand perception range and improve accuracy, demonstrating advantages over single-vehicle systems in designed test scenarios.
With the development of autonomous driving, the improvement of autonomous driving technology for individual vehicles has reached the bottleneck. The advancement of vehicle-road cooperation autonomous driving technology can expand the vehicle's perception range, supplement the perception blind area and improve the perception accuracy, to promote the development of autonomous driving technology and achieve vehicle-road integration. This project mainly uses lidar to develop data fusion schemes to realize the sharing and combination of vehicle and road equipment data and achieve the detection and tracking of dynamic targets. At the same time, some test scenarios for the vehicle-road cooperative system were designed and used to test our vehicle-road cooperative awareness system, which proved the advantages of vehicle-road cooperative autonomous driving over single-vehicle autonomous driving.