AR Vehicle Feature Evaluation in Real Traffic Conditions
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Solution Overview
Problem
Current methods for evaluating new vehicle functions and designs, such as static and dynamic rigs, suffer from motion sickness issues and artificial interaction due to simulated environments, making it difficult to validate real-world experiences.
Innovation Solution
A vehicle feature evaluation system that uses a head-mounted display (HMD) to superimpose virtual vehicle design features onto real-time surroundings captured by vehicle-attached perception sensors, allowing evaluation in real traffic and road scenarios without a physical mock-up.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static or dynamic rigs are used to evaluate vehicle functions, then evaluation can be performed in a controlled environment, but test subjects experience motion sickness and the simulated environment creates artificial interactions that reduce validation accuracy
Solution Approach 1:
The patent uses a camera to capture real-world surroundings and creates a virtual copy of the vehicle interior that is superimposed onto the real-world view through an HMD. This allows evaluation of virtual vehicle designs in the actual driving environment rather than in a simulated rig, eliminating motion sickness while maintaining evaluation validity.
Solution Approach 2:
The HMD acts as an intermediary device that combines the real-world camera feed with the virtual vehicle interior representation. This mediator allows the test subject to experience both the authentic real-world driving environment and the virtual vehicle design simultaneously, resolving the contradiction between controlled evaluation and real-world authenticity.
2Reliability
If physical mock-ups are built to evaluate complete vehicle designs, then authentic real-world driving evaluation is possible, but the cost and complexity of manufacturing increases
Solution Approach 1:
Instead of building physical mock-ups, the patent creates a virtual copy of the vehicle interior using computer-generated imagery that is overlaid onto the real-world view. This digital copying approach allows complete vehicle design evaluation in real-world conditions without the manufacturing costs and complexity of physical mock-ups.
Solution Approach 2:
The patent replaces the mechanical system of physical mock-up construction with a digital system that uses cameras, processors, and HMD displays. This substitution eliminates manufacturing complexity while enabling authentic real-world evaluation of complete vehicle designs.
3Adaptability or versatility
If virtual representations are superimposed on real-time images, then evaluation of simulated features in real environments is enabled, but the system complexity increases
Solution Approach 1:
The patent creates a multi-functional system where the camera captures real surroundings, the processor generates virtual vehicle representations, and the HMD displays the combined view. This universal system can evaluate different vehicle designs, interior configurations, and driving conditions using the same hardware platform, enabling flexible evaluation despite increased device complexity.
Data Source
AI summary
A method performed by a vehicle feature evaluation system for enabling evaluation of a simulated vehicle-related feature. The vehicle feature evaluation system determines in relation to a road-driven vehicle, with support from a tracking system, an orientation of a head-mounted display, HMD, adapted to be worn by an occupant on-board the road-driven vehicle or position and gaze direction of the occupant. The vehicle feature evaluation system further determines a simulated vehicle design feature to be evaluated in the road-driven vehicle. Moreover, the vehicle feature evaluation system provides in real-time to a HMD display of the HMD or another display, taking into consideration the HMD orientation or position and gaze direction, a virtual representation of the simulated vehicle design feature superimposed on a real-time surrounding-showing image derived from real-world perception sensor data captured with support from one or more vehicle-attached perception sensors adapted to capture surroundings internal or external to the road-driven vehicle.