Dynamic Simulation Environment for In-Vehicle Experience Development
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Solution Overview
Problem
Market-available driving simulators are inflexible and require substantial hardware reconfiguration and software reprogramming to adapt to different vehicle types, lacking the ability to dynamically modify simulation experiences for purposes beyond training, such as in-vehicle feature testing and ergonomics evaluation.
Innovation Solution
A simulation environment development framework that enables dynamic configuration of simulation elements using a physics engine and simulation modifiers (SMs), allowing for rapid prototyping and flexible sequencing of events without extensive programming, and supports the integration of new user interfaces and sensors, enabling efficient modification and evaluation of vehicle designs and user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If market-available driving simulators are used with fixed hardware and software configurations, then training functionality is provided, but adaptability to different vehicle types and purposes is lost
Solution Approach 1:
The patent uses virtual copies and simulated representations of vehicle components, controls, and interfaces within the simulation environment. Instead of physically reconfiguring hardware for different vehicle types, the system creates digital replicas of various vehicle configurations, allowing rapid adaptation to different vehicle types through software-based virtual modeling rather than physical hardware changes
Solution Approach 2:
The simulation system is designed to perform multiple functions beyond traditional training, including in-vehicle feature testing, ergonomics evaluation, and user interaction assessment. The platform provides a universal simulation environment that can accommodate different vehicle types, testing scenarios, and evaluation purposes through configurable virtual parameters and modular simulation modules
2Adaptability or versatility
If driving simulators are reconfigured for different vehicle types, then versatility is improved, but time and cost increase
Solution Approach 1:
The system pre-configures multiple vehicle types, controls, and simulation scenarios in advance within the virtual environment. Researchers can select from pre-built vehicle configurations and simulation templates, eliminating the need for time-consuming custom programming for each new vehicle type or testing scenario
Solution Approach 2:
The simulation environment employs dynamic configuration capabilities where vehicle parameters, controls, and interfaces can be modified in real-time through software settings rather than fixed hardware configurations. This allows the system to adapt to different vehicle types and testing requirements dynamically without requiring extensive reprogramming or physical reconfiguration
3Adaptability or versatility
If fixed simulation environments are used, then stability is maintained, but innovation in in-vehicle features cannot be evaluated
Solution Approach 1:
The simulation system divides the vehicle into modular segments with independent controls, interfaces, and features that can be individually configured, tested, and evaluated. This modular approach allows researchers to test specific in-vehicle features or control configurations without affecting the entire system, simplifying the evaluation of innovative features while maintaining overall system stability
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed to develop driving simulations. An example apparatus includes a vehicle configuration engine to retrieve first tier environment parameters associated with a simulation type, and generate second tier environment parameters associated with the simulation type, a simulation modifier (SM) source engine to identify a source of SMs, and distinguish respective ones of the source of SMs that are compatible with the simulation type and the second tier environment parameters, and a development environment configuration engine to improve simulation design efficiency by associating simulation events with only the respective ones of the SMs that are compatible with the simulation type.