Vehicle Application Switching for Predicted Unsafe Driving
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing vehicle systems lack the ability to effectively manage and switch between occupant assist and driving assist applications in response to unsafe driving conditions, potentially compromising safety.
Innovation Solution
A vehicle-based AI system that monitors occupant and environmental conditions, predicts unsafe driving scenarios, and proactively switches from occupant assist to driving assist applications to ensure safe vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the vehicle provides multiple applications (occupant assist and driving assist) to enhance functionality and comfort, then the versatility and ease of operation are improved, but the device complexity increases and safety management becomes more difficult
Solution Approach 1:
The system dynamically switches between occupant assist and driving assist applications based on real-time driving condition assessments. The vehicle's computing system monitors driving conditions and automatically activates the appropriate application, making the system adaptable without requiring permanent complex configurations for all scenarios simultaneously
Solution Approach 2:
The application management system is segmented into distinct functional modules: a monitoring application that assesses driving conditions, a control system that determines application activation status, and separate occupant assist and driving assist applications. This segmentation allows independent management and switching of applications based on specific driving conditions
2Reliability
If the vehicle continuously monitors driving conditions and switches applications proactively, then safety is improved, but the use of energy and computational resources increases
Solution Approach 1:
The monitoring application proactively identifies unsafe driving conditions before they fully develop, allowing the system to switch to the driving assist application in advance. This preliminary detection and response reduces the need for continuous high-intensity monitoring and reactive switching, optimizing energy usage while maintaining safety
Solution Approach 2:
The system implements a feedback loop where the monitoring application continuously assesses driving conditions, the control system responds by adjusting application activation status, and this information feeds back to the monitoring application. This closed-loop feedback enables efficient resource allocation by activating intensive monitoring and application switching only when driving conditions warrant such intervention
Data Source
AI summary
An example operation includes one or more of determining, by a vehicle, that an occupant assist application is operating in the vehicle to assist a vehicle occupant during vehicle operation, determining, by the vehicle, that an unsafe driving condition is likely to occur via a monitoring application, prior to a time that the unsafe driving condition is expected to occur, ceasing, by the vehicle, the occupant assist application, and executing, by the vehicle, a driving assist application to assist with the vehicle operation during the unsafe driving condition.