Self-Driving Luggage Mode Switching for Reliable User Tracking
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Solution Overview
Problem
Existing self-driving luggage systems face challenges in maintaining tracking of users through various obstructions and environmental factors, such as changes in lighting, which can cause them to lose track.
Innovation Solution
The implementation of a self-driving luggage system equipped with motorized wheels, an onboard ultra-wideband device, laser emitters, proximity cameras with optical filters, and a central processing unit that can switch between vision following and radio wave following modes to maintain tracking of the user by using images of reflected light and radio wave signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the system uses vision following mode with proximity cameras to track the user, then the tracking precision is improved in normal conditions, but the reliability deteriorates when lighting changes or obstructions occur
Solution Approach 1:
The system dynamically changes the operating parameter by switching between vision following mode and radio wave following mode based on environmental conditions. When lighting changes or obstructions occur, the system transitions from camera-based visual tracking to radio wave-based tracking, thereby maintaining reliable operation across varying conditions.
Solution Approach 2:
The system implements dynamic mode switching between vision following and radio wave following based on real-time environmental assessment. This dynamic adaptation allows the system to select the most appropriate tracking method for current conditions, ensuring both precision and reliability are maintained.
2Reliability
If the system uses multiple following modes to maintain tracking reliability, then the reliability is improved, but the device complexity increases
Solution Approach 1:
The system integrates multiple following modes (vision following and radio wave following) into a single unified platform. The onboard device can perform both visual tracking and radio wave tracking functions, allowing the system to maintain reliability across different environmental conditions without requiring separate independent systems.
Solution Approach 2:
The system combines vision following capabilities and radio wave following capabilities into one integrated autonomous following system. By merging these different tracking methodologies into a single device with unified control logic, the system achieves high reliability while managing complexity through integration rather than multiplication of separate systems.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables the luggage system to continuously follow a user across different environments by automatically switching between modes, ensuring reliable tracking even in conditions that obstruct vision, such as changing lighting, without requiring the user to wear a mobile device in all scenarios.
Implementation Method 1
one or more proximity cameras configured to take one or more images of the target, and the one or more images include light reflected off of the target
Implementation Method 2
The transmitter transmits a signal to the one or more transceivers of the onboard ultra-wideband device
Data Source
AI summary
Aspects of the present disclosure relate to self-driving luggage systems, devices, and components thereof, having multiple following modes. In one implementation, a self-driving system includes a piece of luggage. The piece of luggage includes one or more motorized wheels and an onboard ultra-wideband device. The onboard ultra-wideband device includes a control unit and one or more transceivers. The piece of luggage also includes one or more laser emitters configured to shoot light towards a target. The piece of luggage also includes one or more proximity cameras configured to take one or more images of the target, and the one or more images include light reflected off of the target. Each of the one or more proximity cameras includes an optical filter. The self-driving system also includes a central processing unit. The central processing unit is configured to switch between a vision following mode and a radio following mode.