Vehicle Condition Resolution System for Internal Conflict
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Solution Overview
Problem
Autonomous vehicles lack the capability to detect and respond to stressful conditions, such as disputes or physical fights, inside the vehicle, which can pose safety concerns and disrupt safe driving operations.
Innovation Solution
A vehicle system equipped with sensors and processors that detect conditions, determine their severity, and implement psychological or physical strategies, such as playing music, changing interior colors, or creating physical barriers, to resolve the conditions, potentially involving external systems for assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without human operators, then automation level is improved, but the ability to respond to stressful conditions inside the vehicle deteriorates
Solution Approach 1:
The autonomous vehicle system implements self-service by using onboard sensors (cameras, microphones, sensors) to automatically detect stressful conditions inside the vehicle and autonomously selecting and executing resolution strategies without human intervention. The system monitors conditions, determines severity levels, and implements appropriate responses independently.
Solution Approach 2:
The patent introduces an intermediary condition resolution system that acts as a mediator between the autonomous vehicle's automated operations and stressful internal conditions. This intermediary system processes sensor data, determines condition severity, selects appropriate strategies, and executes resolutions, bridging the gap between automation and human-like conflict resolution.
2Reliability
If multiple strategies are implemented to resolve conditions, then reliability is improved, but device complexity increases
Solution Approach 1:
The condition resolution system is segmented into distinct functional modules: condition detection using sensors, severity determination algorithms, strategy selection logic, and strategy execution components. This segmentation allows the complex system to be managed through modular, independent functions that can be developed and tested separately while working together to resolve conditions reliably.
Solution Approach 2:
The system employs dynamic strategy selection based on real-time condition assessment. Rather than using a fixed set of responses, the system adapts its behavior by evaluating condition severity and selecting from multiple strategies (psychological methods, physical methods, or combinations) appropriate to the specific situation, making the complexity adaptive rather than static.
Data Source
AI summary
Provided herein is a system and method for implementing one or more strategies in response to a condition inside a vehicle. The system comprises a sensor to capture data, one or more processors, and a memory storing instructions that cause the one or more processors to detect, based on the data, a condition in the vehicle, determine a level of severity of the condition, and determine one or more strategies in response to a determined level of severity of the condition. The system further implements the one or more strategies to resolve the condition.