Autonomous Depth Sensor Calibration for Mobile Robots
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Solution Overview
Problem
Drive units in inventory systems face challenges in accurately and reliably identifying obstacles due to potential calibration issues in their obstacle detection sensors, which can be affected by factors like shock, vibration, and temperature changes.
Innovation Solution
The implementation of a designated calibration region within the inventory system where drive units can autonomously transition to perform calibration tests and recalibration procedures using a calibration apparatus with multiple targets at different distances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If drive units operate continuously in harsh warehouse environments, then productivity is improved, but sensor calibration reliability deteriorates due to shock, vibration, and temperature changes
Solution Approach 1:
The system performs preliminary calibration checks by capturing images of calibration targets at known positions and distances before actual operation. The controller compares detected positions against expected positions to proactively identify calibration drift caused by environmental factors, allowing correction before it impacts operational reliability
Solution Approach 2:
The system establishes a feedback loop where the controller continuously monitors sensor calibration by comparing detected calibration target positions with predetermined reference positions. When deviations exceed thresholds, the system automatically triggers recalibration procedures, creating a closed-loop control mechanism that maintains reliability during continuous operation
2Measurement precision
If manual calibration procedures are implemented, then measurement precision is improved, but loss of time increases due to manual intervention requirements
Solution Approach 1:
The drive unit performs self-calibration by autonomously navigating to predetermined calibration positions, capturing images of calibration targets, and automatically processing the image data to determine calibration parameters. The controller executes the entire calibration sequence without human intervention, allowing the system to calibrate itself during idle periods or transitions between operational tasks
Solution Approach 2:
The system performs calibration checks and corrections in advance during idle periods, transitions between tasks, or when triggered by environmental condition changes. By proactively maintaining calibration before it degrades, the system eliminates the need for time-consuming manual calibration interruptions during productive operations
3Measurement precision
If multiple calibration targets at different distances are used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The calibration target structure serves multiple functions: it provides calibration references at multiple predetermined distances for depth calibration, includes identifiable features for position verification, and can be positioned at various locations within the operational environment. This multi-functional design enables comprehensive calibration without requiring separate apparatus for each calibration parameter
Solution Approach 2:
The calibration system divides the calibration process into discrete segments corresponding to different distance measurements. Each calibration target at a predetermined distance provides a specific calibration data point, and the controller processes each segment independently by comparing detected positions against expected positions at those specific distances, building up complete calibration data through segmented measurements
Data Source
AI summary
Systems and techniques for performing a calibration test of an obstacle detection sensor of a drive unit are described. An example system includes a calibration region and at least one drive unit. The calibration region is disposed in an environment and includes a calibration apparatus. The at least one drive unit is operable to autonomously move throughout the environment. The at least one drive unit includes a sensor configured to detect one or more objects within the environment. The at least one drive unit is configured to autonomously transition to the calibration region upon detecting at least one predetermined condition, and perform a calibration test of the first sensor at the calibration region using the calibration apparatus.