In-Cabin Occupant Action Detection Using Standardized Driver Postures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity of vehicle operating environments and systems poses a challenge in effectively detecting vehicle occupant actions, which contributes to driver risk, necessitating methods and systems for generating data representative of vehicle occupant actions.
Innovation Solution
A device and method that utilize previously classified image data from databases and current image data from vehicle interior sensors to detect vehicle occupant actions by comparing the two, allowing for the tracking of driver postures, hand positions, and attention levels, with a system capable of generating reports and providing warnings or advisories on in-cabin insurance risk evaluations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle systems and operating environments become more complex to provide better functionality, then vehicle capabilities and features are improved, but driver risk increases due to increased complexity
Solution Approach 1:
The system continuously monitors driver behavior through image capture devices and provides feedback by comparing current driver actions against previously classified image data. This feedback mechanism enables real-time detection of risky behaviors and allows the system to adapt to changing driving conditions while maintaining safety standards.
Solution Approach 2:
The patent introduces an intermediary classification system that processes and interprets complex driver behaviors. The system uses trained classifiers and image data processing as intermediaries between the complex vehicle environment and the driver, enabling accurate risk assessment without directly increasing driver workload or complexity.
2Measurement precision
If image data processing is used to detect vehicle occupant actions, then detection accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary classification of image data during normal operation, building a database of previously classified driver actions. This preliminary action enables faster real-time detection by comparing current images against pre-classified data, reducing processing time while maintaining high accuracy.
Solution Approach 2:
The system processes only the necessary portions of image data required for detection. Rather than analyzing entire images in full detail, the system focuses on key regions and features relevant to driver behavior classification, reducing computational load while maintaining detection precision.
Data Source
AI summary
Method and system for detecting vehicle occupant actions are disclosed. For example, the method includes receiving, by one or more processors, previously classified image data from a previously classified image database, the previously classified image data representing driver postures that are rotated and scaled to be standardized for a range of different drivers and different locations of a vehicle interior sensor within a given vehicle, wherein the previously classified image data is representative of previously classified vehicle occupant actions; receiving, by the one or more processors, current image data from the vehicle interior sensor subsequent to the vehicle interior sensor being registered within the given vehicle, wherein the current image data is representative of current vehicle occupant actions; and determining, by the one or more processors, a vehicle occupant action based at least in part upon a comparison of the current image data and the previously classified image data.