Cart Navigation Using Motion Sensor Data Reconstruction
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Solution Overview
Problem
Existing navigation systems for portable devices face challenges in providing accurate and consistent positioning information, especially when the device is conveyed by a cart, as inertial sensors suffer from integration errors and misalignment issues, and conventional pedestrian dead reckoning techniques struggle to extract necessary information due to the decoupling of the device from the pedestrian motion.
Innovation Solution
A method and apparatus for cart navigation that involves obtaining motion sensor data from a portable device, determining if it is in a cart motion mode, calculating the effective motion frequency, reconstructing motion sensor data, calculating the heading misalignment angle, detecting steps taken by the user, and performing dead reckoning to provide a navigation solution based on these calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If inertial sensors are used for navigation in a portable device conveyed by a cart, then positioning information can be obtained without satellite coverage, but integration errors and misalignment issues cause degradation in positioning accuracy
Solution Approach 1:
The system continuously monitors motion sensor data and dynamically adjusts navigation calculations by detecting cart motion modes, reconstructing motion data, and calculating heading misalignment angles in real-time to compensate for integration errors and maintain positioning accuracy
Solution Approach 2:
The system changes the processing parameters of motion sensor data by applying different reconstruction techniques and misalignment corrections based on detected cart motion modes, transforming raw inaccurate data into corrected navigation parameters that maintain precision
2Ease of operation
If conventional pedestrian dead reckoning techniques are used, then navigation can be provided, but the decoupling of the device from pedestrian motion causes the techniques to struggle to extract necessary information
Solution Approach 1:
The system dynamically adapts the dead reckoning algorithm by detecting cart motion modes and adjusting the motion extraction process accordingly, transforming the static conventional approach into a dynamic system that responds to different cart motion characteristics
Solution Approach 2:
The system segments the motion analysis by identifying and processing different cart motion modes separately, allowing targeted extraction of necessary information for each specific motion pattern rather than applying a uniform approach
3Adaptability or versatility
If the portable device is untethered or loosely tethered in the cart, then mobility is increased, but the relative orientation between the device and cart becomes unknown and variable
Solution Approach 1:
The system performs preliminary detection of cart motion modes and calculates heading misalignment angles before executing navigation calculations, preparing correction parameters in advance to compensate for the unknown and variable orientation
Solution Approach 2:
The system continuously monitors motion sensor data to detect changes in device orientation and cart motion mode, providing real-time feedback that allows dynamic recalculation of heading misalignment to maintain navigation accuracy despite variable orientation
Data Source
AI summary
An apparatus and method are disclosed for cart navigation using a portable device that is conveyed by the cart, but may be tethered or untethered and wherein mobility of the portable device may be constrained or unconstrained within the cart. The cart may be any apparatus propelled by on foot motion of a user. The portable device may have an integrated sensor assembly integrated with at least one sensor outputting data representing motion of the portable device. From the motion sensor data, it may be determined if the portable device is in a cart motion mode, if the cart is moving and an effective motion frequency for the portable device. Further, the motion sensor data may be reconstructed, a heading misalignment angle calculated and steps taken by the user detected. From this information, dead reckoning for the cart may be performed so that a navigation solution may be provided.