Lost Property Management in Shared Autonomous Vehicles

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

In shared autonomous vehicles, passengers face challenges in retrieving lost items due to unclear locations and inefficient search processes, leading to increased time and cost, as well as unnecessary movements.

Innovation Solution

A method that collects and analyzes passenger movement data to identify likely lost property spots, transmitting this information to the vehicle and a terminal, allowing for guided retrieval requests and minimizing unnecessary movements by determining optimal routes for property recovery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If passengers search for lost items by contacting the driver or going to a specified place themselves, then they can retrieve their lost property, but it takes significant time and requires unnecessary movements

Engineering Contradiction:

Improvetime to locate and retrieve lost propertyVSAvoidconvenience of lost property retrieval

Core Design Contradiction:

Loss of timeVSEase of operation

Solution Approach 1:

The system performs preliminary actions by automatically monitoring passenger movements and analyzing loss behavior patterns during the ride. It proactively identifies likely lost property spots and prepares retrieval information before the passenger even realizes they lost something, eliminating the need for time-consuming manual searches

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback by continuously collecting sensor data on passenger movements, analyzing this data to determine loss behavior patterns, and using this feedback to identify and communicate likely lost property locations to the passenger, creating a closed-loop system that improves retrieval efficiency

Inventive Principle:

Principle #23Feedback

2Productivity

If the system collects and analyzes passenger movement data to identify likely lost property spots, then retrieval time is reduced, but the system complexity increases

Engineering Contradiction:

Improveefficiency of lost property managementVSAvoidcomplexity of monitoring and analysis system

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by using the same sensor network and data processing infrastructure for multiple purposes: monitoring passenger movements for safety, analyzing behavior patterns for lost property prediction, and providing navigation guidance. This universal approach improves productivity without proportionally increasing complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system performs self-service by automatically collecting sensor data, analyzing loss behavior patterns, identifying likely lost property spots, and providing retrieval guidance without requiring additional manual intervention. The autonomous vehicle system serves itself in managing lost property, improving efficiency while keeping complexity manageable

Inventive Principle:

Principle #25Self-service

3Loss of energy

If the system provides detailed guidance on retrieval routes, then unnecessary passenger movements are minimized, but the complexity of route management increases

Engineering Contradiction:

Improveenergy spent on unnecessary movementsVSAvoidcomplexity of route guidance system

Core Design Contradiction:

Loss of energyVSDevice complexity

Solution Approach 1:

The system uses an intermediary approach by providing simplified directional guidance (turn left, turn right, go straight) rather than complex detailed routing. This intermediary level of information reduces unnecessary movements while avoiding the complexity of full route management, striking an optimal balance between energy efficiency and system complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS11435196B2Method and apparatus for managing lost property in shared autonomous vehicle

Publication Date: 2022.09.06 LG ELECTRONICS INC

AI summary

Disclosed herein is a method and apparatus for managing lost property in a shared autonomous vehicle, which determine a likely lost property spot based on a location and time a passenger is highly likely to lose their property, by monitoring the passenger's movements in the vehicle and classifying the passenger's behavior as a behavior pattern that makes the passenger prone to losing their property. Accordingly, the passenger may send a lost property retrieval request, and the passenger may be given guidance on how to retrieve the lost property, thereby allowing for efficient management of lost property in a shared autonomous vehicle. One or more among an autonomous vehicle, user terminal, and server according to the present invention may be associated with an artificial intelligence module, a drone (or unmanned aerial vehicle (UAV)) robot, an augmented reality (AR) device, a virtual reality (VR) device, and a 5G service-related device.