Vehicle Object Ownership Management via Sensing and AI
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Solution Overview
Problem
There is a need to effectively set and manage the ownership of objects within a vehicle, particularly to prevent loss or theft, especially in autonomous vehicles where passenger interactions and object movements are complex.
Innovation Solution
An electronic apparatus that acquires sensing information about objects and passenger motions within a vehicle, sets the owner of an object when it separates from the passenger, and provides information to the owner in predetermined situations, using AI and machine learning algorithms to determine ownership based on sensing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensing information is continuously monitored to determine object ownership and prevent loss or theft, then the reliability of ownership management is improved, but the device complexity and energy consumption increase
Solution Approach 1:
The system performs preliminary actions by continuously monitoring sensing information to detect when an object separates from a passenger before loss or theft occurs. The controller proactively determines ownership and prepares notifications in advance, preventing the harmful outcome rather than reacting after the fact.
Solution Approach 2:
The system implements feedback by continuously acquiring sensing information about object positions and passenger motions, processing this data to determine ownership status, and providing notifications to owners when objects are lost or stolen. This closed-loop feedback ensures reliable ownership management through ongoing monitoring and response.
2Measurement precision
If multiple sensors and AI algorithms are deployed to accurately track object-passenger relationships, then the measurement precision of ownership determination is improved, but the use of energy and device complexity increase
Solution Approach 1:
The system applies partial action by processing sensing information selectively - it monitors object positions and passenger motions continuously but only performs full AI-based ownership determination when separation events are detected. This reduces unnecessary computational energy consumption while maintaining high measurement precision when needed.
Solution Approach 2:
The system replaces complex mechanical tracking systems with electronic sensing and AI-based logical determination. Instead of physically tracking object-passenger relationships through mechanical means, the controller uses sensing information and algorithms to determine ownership, reducing mechanical complexity while maintaining precision.
3Loss of information
If the system provides notifications to owners about lost or stolen objects, then the loss of information is reduced, but the device complexity and potential false alarms increase
Solution Approach 1:
The system implements self-service by automatically determining ownership and sending notifications without requiring manual intervention from passengers or owners. The controller autonomously processes sensing information, identifies lost or stolen objects, and communicates with owners, reducing the need for complex user interfaces or manual tracking systems.
Data Source
AI summary
Provided are a method for setting an owner of an object based on sensing information regarding an internal environment of a vehicle when the object comes apart from a passenger, and an electronic apparatus therefor. In the present disclosure, one or more of an electronic apparatus, a vehicle, a vehicular terminal, and the autonomous driving vehicle may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, and the like.