Vehicle Occupant Event Information Distribution and Tracking
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Solution Overview
Problem
Current vehicle safety systems fail to effectively distribute and process information among occupants to prevent collisions, particularly in high-density traffic situations where drivers are overwhelmed by multiple sources of information.
Innovation Solution
A system that automatically distributes vehicle event information among occupants, adjusts tracking components like mirrors and cameras based on passenger alertness and perspective, and enables collaborative driving to enhance situational awareness and reduce information overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple tracking components are used to monitor vehicle events, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the monitoring task by assigning different tracking components (mirrors, cameras, sensors) to specific zones and event types. Each component has a dedicated function for detecting particular vehicle events, which improves detection accuracy while managing system complexity through functional segmentation.
Solution Approach 2:
Tracking components are designed to perform multiple functions - mirrors serve both traditional viewing and event detection, cameras capture both interior and exterior scenes, and sensors monitor multiple parameters simultaneously. This multi-functionality reduces the total number of components needed while maintaining high detection precision.
2Measurement precision
If tracking components are continuously adjusted to follow vehicle events, then measurement precision is improved, but loss of time occurs due to frequent adjustments
Solution Approach 1:
The system performs preliminary positioning of tracking components based on predicted event locations and maintains them in ready positions. When events occur, components are already near their optimal viewing angles, reducing adjustment time while maintaining tracking accuracy through minimal fine-tuning adjustments.
Solution Approach 2:
Tracking components use dynamic adjustment mechanisms that can rapidly change angles and positions in response to detected events. The system dynamically switches between static pre-positioned states and dynamic tracking modes, optimizing both response time and measurement precision during actual events.
3Loss of information
If all vehicle event information is presented to the driver, then completeness of information is improved, but ease of operation deteriorates due to information overload
Solution Approach 1:
Different types of information are presented with different levels of detail and prominence based on their criticality. Critical safety information receives prominent display with high visibility, while less critical information is presented in secondary displays or summarized formats. This local differentiation of information quality maintains completeness while reducing overall cognitive load.
Solution Approach 2:
The system introduces intermediary processing layers that filter, prioritize, and organize raw event data before presenting it to the driver. Intelligent algorithms act as intermediaries between sensors and the driver interface, transforming complex multi-source data into simplified, actionable information that maintains completeness without overwhelming the driver.
Data Source
AI summary
Vehicle event processing includes vehicle event detection, notification and/or action response processing. Information relating to a vehicle event is automatically distributed among a plurality of occupants of a vehicle. The plurality of occupants includes a driver of the vehicle and one or more passengers of the vehicle. Based on at least a portion of the information distributed and a perspective of at least one passenger of the one or more passengers, at least one tracking component of the vehicle is adjusted. Based on the adjusting, additional information is obtained. Based on at least a portion of the additional information, an action is automatically taken.