Autonomous Vehicle Passenger Behavior Detection and Mitigation
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Solution Overview
Problem
Autonomous vehicles lack effective mechanisms to detect and mitigate inappropriate behavior such as harassment and vandalism, leaving passengers unprotected due to the absence of a human driver to monitor and intervene.
Innovation Solution
A system comprising sensors (audio, cameras, vibration) and AI-driven modules that monitor interactions, classify behaviors, and activate protection measures, including communication with passengers and potential intervention by authorities, to address harassment and vandalism in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If autonomous vehicles operate without a human driver, then automation level increases, but passenger safety monitoring capability deteriorates
Solution Approach 1:
The autonomous vehicle performs self-monitoring of passenger behavior through onboard sensors and AI processing, eliminating the need for external human monitoring while maintaining safety oversight capabilities
Solution Approach 2:
The patent replaces the mechanical human monitoring system with an electronic sensor-based monitoring system that uses cameras, microphones, and AI algorithms to detect and respond to inappropriate passenger behavior
2Reliability
If multiple sensors and AI modules are added to monitor passenger behavior, then passenger safety improves, but device complexity increases
Solution Approach 1:
The system uses multi-functional sensors that serve both primary vehicle operations and secondary passenger monitoring functions, reducing the need for dedicated monitoring hardware and simplifying the overall system architecture
Solution Approach 2:
The patent combines multiple monitoring functions (visual, auditory, behavioral analysis) into a unified AI processing system that coordinates sensor data collection, analysis, and response activation, reducing system complexity through integration
Data Source
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AI summary
Disclosed herein are systems and methods for detecting and mitigating inappropriate behavior. The systems and methods may include receiving data. Using the data a harassment score and/or classification for a behavior may be determined. Using the harassment score and/or classification, a determination may be made as to when the harassment score and/or classification for the behavior exceeds a threshold. When the threshold is exceeded, a protection system and/or action engine may be activated to mitigate the inappropriate behavior.