Predictive Interactive Space for Vehicle Motion Synchronization
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Solution Overview
Problem
Current vehicle systems lack the ability to create immersive interactive spaces based on predicted events, such as turns or road conditions, which could enhance the driver's experience through augmented or virtual reality, by integrating sensors and processors to adjust visual content in real-time.
Innovation Solution
A system comprising physical processors, vehicle sensors, and a client device that predicts events based on ride information and adjusts visual content, including virtual objects and environments, to synchronize with the vehicle's motion and context, providing an interactive space that reacts to the driver's surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If visual content is adjusted in real-time based on predicted events, then driver engagement and experience are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by predicting future driving events (turns, stops, road conditions) before they occur and pre-adjusting visual content accordingly. The prediction component analyzes current ride information to forecast upcoming events, and the experience component prepares appropriate visual adjustments in advance, reducing the need for complex real-time processing during critical moments.
Solution Approach 2:
The system segments the driving experience into distinct components handled by specialized modules: ride component processes sensor data, prediction component forecasts events, experience component manages visual content, synchronization component coordinates timing, and trigger component executes adjustments. This segmentation allows each component to be optimized independently, managing overall system complexity while achieving sophisticated adaptive capabilities.
2Measurement precision
If multiple sensors and processing components are integrated, then prediction accuracy and interactive space quality are improved, but device complexity and energy consumption increase
Solution Approach 1:
The system implements multi-functionality where the processor performs multiple roles: it processes sensor data from various sources, executes prediction algorithms, manages visual content generation, and coordinates synchronization. This universal approach consolidates what could be separate complex components into a unified processing system, reducing overall device complexity while maintaining high prediction accuracy through comprehensive data analysis.
3Stability of the object's composition
If visual content is synchronized with vehicle motion, then immersive experience is improved, but processing speed and response time requirements increase
Solution Approach 1:
The system applies preliminary action by predicting upcoming vehicle motions (acceleration, deceleration, turns) and pre-synchronizing visual content adjustments before the motion occurs. This approach allows the system to maintain stable synchronization without requiring extremely fast real-time response, as the visual content is prepared in advance based on predicted ride dynamics.
Data Source
AI summary
This disclosure relates to systems and methods to provide an interactive space based on events likely to occur. A system may be coupled to a vehicle. The events likely to occur may be predicted based on motion of the vehicle and/or other information. Content may be presented to the user. The predicted events may be used as a basis for adjusting the content. This may allow the motion of the vehicle and/or the predicted events to form a part of a user's experience with the interactive space. The users may feel more immersed in the experiences as the vehicle moves.