Perceptual fusion method of vehicle road cooperation roadside unit in superhighway
To improve the driving safety of the superhighway and verify the feasibility of multi-sensor fusion algorithm in the superhighway,starting from the roadside sensing unit in vehicle-road cooperation,a multi-sensor perception fusion system model was established by using PreScan.The advantages and disadvantages of different methods were analyzed by understanding the types and architectures of multi-sensor fusion methods based on the multi-sensor fusion method.The hybrid multi-sensor information data fusion was adopted as the overall architecture,and the back-end fusion was adopted as the way to process and analyze data.This method improved the detection accuracy of target distance and speed of sensors on superhighways.The maximum improvement of distance and speed of Camera can reached 7.2%and 36.8%,respectively.The research results demonstrate that the method improve the detection capability of roadside units,and verify the feasibility and effectiveness of the adaptive weighted fusion algorithm on the superhighway.
engineering of communications and transportation systemfusion algorithmsuperhighwayroadside perceptionvehicle-infrastructure cooperation
万方数据
维普
