A Synthetic Correction Method for Lag of a Follow-up Vision Car Driving Simulator

Abstract

The invention provides a follow-up visual vehicle driving simulator lag integration correction method and belongs to the driving simulator field. A vehicle state acquisition module, a vehicle state estimation module and an integration correction module are included. The method is characterized by collecting a vehicle state calculated by a vehicle dynamics model in real time; through noise removing processing, acquiring instantaneous low frequency data of vehicle motion; according to lag time of each execution system, determining longest time calculated by a prediction method module; through calculation, acquiring a vehicle state time sequence of a further moment; and selecting vehicle states corresponding to different time points for each execution system of a simulator. A condition that a single system and single signal independence correction cause repetitive calculation of a physical quantity and an incoordination phenomenon of a visual sense, hearing, a sense of touch and a body feeling is avoided; driving comfortableness of the simulator is increased; and response consistency of different systems is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of driving simulator applications, and in particular relates to a method for comprehensively correcting the hysteresis of a car driving simulator with a dynamic view. Background technique [0002] The follow-up visual car driving simulator has become an essential tool for car chassis development, advanced vehicle electronic control system verification, driver behavior characteristics research, smart car control logic verification, networked car development and smart road design. Applying a car driving simulator to participate in car product development can lead to a safer, more efficient and more economical development process. [0003] The follow-up visual car driving simulator is a kind of driver-in-the-loop virtual simulation environment. It uses digital methods to construct a virtual driving environment and car response to reconstruct a pseudo-realistic driving scene. The working process of the follow-u...

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