Virtual Modeling And Simulation Of Intelligent Driving Car Vision Sensor

Vision sensor is an efficient sensor for obtaining information about the external environment and is widely used in intelligent driving vehicle environment perception systems.Using virtual testing methods,the research on vehicle-mounted visual sensors for simulation testing and virtual sensors-based intelligent control algorithms has caused increasing attention and is an important research topic.Based on the research of the visual sensor's functional components and their working principles and parameters,based on the working principle of the visual sensor and the meaning of the parameters,combined with Open GL visual function and working principle of perspective transformation,visual sensor was studied virtual modeling ideas.A virtual simulation model of visual sensor was constructed from the aspects of image acquisition unit,processing unit and vision sensor installation.Based on VC++6.0 programming language theory and Open GL3 D graphics API,an intelligent driving vehicle simulation platform was built.Programming realizes virtual modeling of visual sensors.Based on the verification of the effectiveness of the virtual vision sensor,a virtual visual sensor was used to collect the road image in front of the intelligent vehicle in real time,and the grid method was used to detect the lane line,thus realizing the simple and autonomous driving of the vehicle.The virtual vision sensor model and the platform which have been built in this paper provide some references for subsequent intelligent driving simulation testing.