Driving Simulator Motion Cueing With Driver-Specific Acceleration Points
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Solution Overview
Problem
Existing motion cueing algorithms in driving simulators can cause perception of false cues, leading to discomfort and fatigue in users, as they do not effectively align with the intended visual stimulation and vary in effectiveness among drivers.
Innovation Solution
A control method that customizes the acceleration application point (AAP) and optimizes motion cueing algorithm (MCA) parameters based on driver-specific and maneuver-specific data, using a control unit to enhance the alignment between simulated and real driving experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion cueing algorithms are used to control platform movements within limited space, then the simulation fidelity is improved, but false cues are generated that do not match visual stimulation
Solution Approach 1:
The patent applies local quality by customizing the acceleration application point (AAP) location based on individual driver characteristics and specific maneuver types. Different drivers receive different AAP locations optimized for their anthropometric data, while different maneuvers use different AAP positions. This localized customization ensures that motion cues are applied at the most effective point for each driver-manower combination, improving simulation fidelity without generating false cues.
Solution Approach 2:
The patent implements dynamics by making the AAP location variable rather than fixed. The AAP position is dynamically adjusted based on the current maneuver being simulated and the driver's characteristics. This dynamic adaptation allows the system to optimize motion cueing in real-time, maintaining high simulation fidelity across diverse driving scenarios while avoiding the generation of false cues that would occur with a static AAP position.
2Ease of operation
If standard motion cueing algorithms are used, then platform control is simplified, but driver-specific variations in simulation quality occur
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing optimal AAP locations for various maneuver types and driver categories before the simulation begins. During the actual simulation, the system simply retrieves the pre-determined AAP position based on the current maneuver and driver profile, rather than performing complex real-time calculations. This approach maintains ease of operation during simulation while ensuring consistent, high-quality results across different drivers.
Solution Approach 2:
The patent implements parameter changes by systematically varying the AAP location parameter based on driver-specific parameters (such as height, weight, seating position) and maneuver parameters. By establishing clear relationships between these parameters and the optimal AAP position, the system achieves consistent simulation quality across different drivers without complicating the control mechanism. The control system remains simple by only needing to adjust the AAP position parameter based on pre-established criteria.
3Device complexity
If fixed acceleration application point is used, then control implementation is simpler, but cue-mismatch and discomfort increase
Solution Approach 1:
The patent resolves this contradiction by applying local quality through driver-specific AAP customization. Instead of using a single fixed AAP location for all drivers, the system determines optimal AAP positions tailored to each driver's anthropometric characteristics and the specific maneuver being simulated. This localized approach significantly reduces cue-mismatch and driver discomfort while adding minimal complexity to the control implementation, as the AAP position can be selected from pre-calculated options based on simple driver input data.
Data Source
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AI summary
A control method (50) for controlling a driving simulator (10) or a vehicle, operable by a driver (32). The driving simulator (10) comprises a platform (12) and a cabin (24) mounted on the platform (12) and is configured to be moved by the platform (12). The control method (50) is implemented by computational resources (34) and comprises the steps of: acquiring (S10) input data comprising at least driver data and/or manoeuvre data, the driver data being indicative of physical parameters of the driver (32) and the manoeuvre data being indicative of a manoeuvre to be simulated by the driving simulator (10) or executed by the vehicle, the input data further comprising vehicle model data comprising at least a simulated acceleration of the vehicle; determining (S12), based on the input data, an acceleration application point, AAP, corresponding to the point in space at the cabin (24) or the vehicle wherein the simulated acceleration of the vehicle is to be applied; updating (S14) motion cueing algorithm, MCA, control parameters based on the input data; and using (S16), based on the AAP and the MCA control parameters, a MCA to generate control data for controlling the driving simulator (10) or the vehicle.