Adaptive Virtual Reality System for In-Vehicle Passenger Engagement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional virtual reality technologies fail to provide an engaging and dynamic in-vehicle experience that adapts to the vehicle's state and surroundings, particularly in semi-automated and autonomous vehicles, where passengers lack immersive and responsive entertainment during transit.
Innovation Solution
A system that utilizes predictive vehicle navigation data, vehicle state sensor data, and environmental sensor data to generate and adapt virtual reality elements in real-time, incorporating sensory inputs such as speed, acceleration, and surroundings to create a dynamic and responsive virtual environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional virtual reality entertainment is used in vehicles, then basic entertainment functionality is provided, but the experience fails to adapt to the vehicle's state and surroundings
Solution Approach 1:
The system pre-fetches and stores virtual reality content related to upcoming locations along the vehicle's route before the vehicle arrives there. This allows the VR environment to be adapted to future locations in advance, creating a seamless experience when the vehicle reaches those destinations without requiring real-time processing delays
Solution Approach 2:
The virtual reality system automatically monitors vehicle state sensors, navigation data, and environmental conditions to dynamically adjust the VR environment without requiring manual user input. The system self-adapts to changes in vehicle speed, acceleration, location, and surrounding conditions, providing a responsive experience that evolves with the journey
2Productivity
If virtual reality environment adapts to vehicle state and surroundings, then passenger engagement is enhanced, but data processing requirements increase
Solution Approach 1:
The system processes and prepares virtual reality content in advance for upcoming locations along the vehicle's route, storing this pre-processed content locally. This reduces the need for intensive real-time data processing and energy consumption during vehicle operation, while still providing highly adaptive VR experiences when needed
Solution Approach 2:
The system selectively processes and adapts VR content based on the vehicle's current state and upcoming route, rather than continuously processing all possible data. It focuses computational resources on the most relevant environmental factors and vehicle parameters that will have the greatest impact on passenger engagement
3Adaptability or versatility
If predictive navigation data is integrated into virtual reality environment, then realism and immersion are improved, but system complexity increases
Solution Approach 1:
The system uses predictive navigation data to pre-fetch and prepare virtual reality content for upcoming locations along the vehicle's route. By processing this data in advance, the system creates a realistic VR environment that anticipates future destinations, enhancing immersion without requiring complex real-time synchronization of all navigation data
Data Source
AI summary
A vehicle state sensor data record associated with a current state of a vehicle is received. A predictive vehicle navigation data record based on map data is also received. The map data is associated with a current location of the vehicle. A first element of a virtual reality environment is adapted based on the received vehicle state sensor data record, and second element of the virtual reality environment is generated based on the received predictive vehicle navigation data record.