Vehicle Interior Object Detection and Interaction Control
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Solution Overview
Problem
Current technologies lack effective methods to manage interactions between vehicle occupants and objects within the vehicle, particularly in detecting and classifying objects and determining the level of interaction, which affects occupant distraction and safe vehicle operation.
Innovation Solution
A computer-implemented method using imaging devices to collect and analyze images of the vehicle interior, detecting objects, classifying their type, and estimating the level of interaction between the occupant and the object, which can adjust vehicle control elements based on the interaction level to enhance safety and comfort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If image analysis is used to detect and classify objects in the vehicle interior, then object detection capability is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of object management into distinct modules: image collection by imaging devices, image analysis by processors, object classification, interaction level estimation, and control element adjustment. This segmentation allows each module to be optimized independently while managing overall system complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes images and generates interaction metrics, which then mediate between the imaging system and the vehicle control elements. This intermediary structure simplifies the connection between detection and control by standardizing the interaction level metric as a common interface.
2Reliability
If the system estimates interaction level and adjusts control elements in real-time, then occupant safety is improved, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary classification of objects and estimation of interaction levels continuously in the background, so that when safety decisions are needed, the data is already prepared. This allows real-time safety responses without excessive processing delays.
Solution Approach 2:
The system implements feedback loops where control element adjustments are made based on estimated interaction levels, and the effects of these adjustments are monitored through continued image analysis. This feedback mechanism enables adaptive optimization of safety responses over time.
Data Source
AI summary
Vehicle interior object management uses analysis for detection of an object within a vehicle. The object can include a cell phone, a computing device, a briefcase, a wallet, a purse, or luggage. The object can include a child or a pet. A distance between an occupant and the object can be calculated. The object can be within a reachable distance of the occupant. Two or more images of a vehicle interior are collected using imaging devices within the vehicle. The images are analyzed to detect an object within the vehicle. The object is classified. A level of interaction is estimated between an occupant of the vehicle and the object within the vehicle. The object can be determined to have been left behind once the occupant leaves the vehicle. A control element of the vehicle is changed based on the classifying and the level of interaction.