Rack Leg Identification for Warehouse Vehicle Localization Calibration
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Solution Overview
Problem
Existing localization systems for industrial vehicles in warehouse environments face challenges in accurately tracking and navigating within aisles due to variations in rack spacing and alignment, leading to inefficiencies and potential collisions.
Innovation Solution
Utilizing a rack leg imaging module equipped with a camera and infrared illuminators to capture images of upright rail rack legs, combined with a control module and odometry data, to enhance localization accuracy and maintain vehicle position within the warehouse.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional localization systems are used in warehouse environments, then vehicle navigation is enabled, but localization accuracy deteriorates due to variations in rack spacing and alignment
Solution Approach 1:
The patent introduces rack legs as intermediary reference objects between the localization system and the varying rack structures. By attaching identifiable markers to rack legs and using them as intermediate reference points, the system can accurately track vehicle position even when rack spacing and alignment vary, thus resolving the contradiction between measurement precision and reliability
Solution Approach 2:
The system creates a virtual copy or map of the warehouse environment by recording the positions and identifiers of rack legs. This copied reference framework allows the localization system to compare actual sensor readings against the stored map, maintaining accurate localization despite physical variations in the warehouse structure
2Measurement precision
If rack leg identification is implemented for precise localization, then vehicle position tracking is improved, but system complexity increases due to additional imaging and processing requirements
Solution Approach 1:
The imaging module serves multiple functions: capturing rack leg images for localization, identifying unique markers, and providing feedback for position correction. By making the imaging system multi-functional, the patent achieves precise position tracking without proportionally increasing system complexity
Solution Approach 2:
The system uses the existing warehouse rack structure itself as the reference framework, eliminating the need for separate, dedicated positioning infrastructure. The rack legs and their markers serve the dual purpose of their original function and localization reference points, reducing overall system complexity while maintaining high precision
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
Improves localization accuracy and reduces downtime by enabling precise tracking of industrial vehicles within warehouse aisles, ensuring efficient navigation and collision avoidance.
Implementation Method 1
a rack leg imaging module equipped with a camera and infrared illuminators
Data Source
Figure 1A
Figure 1B
Figure 2
AI summary
A materials handling vehicle includes a camera, odometry module, processor, and drive mechanism. The camera captures images of an identifier for a racking system aisle and a rack leg portion in the aisle. The processor uses the identifier to generate information indicative of an initial rack leg position and rack leg spacing in the aisle, generate an initial vehicle position using the initial rack leg position, generate a vehicle odometry-based position using odometry data and the initial vehicle position, detect a subsequent rack leg using a captured image, correlate the detected subsequent rack leg with an expected vehicle position using rack leg spacing, generate an odometry error signal based on a difference between the positions, and update the vehicle odometry-based position using the odometry error signal and/or generated mast sway compensation to use for end of aisle protection and/or in/out of aisle localization.