Work Machine Periphery Monitoring Calibration With Staged Algorithms
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Solution Overview
Problem
Conventional periphery display systems for work machines require excessive manual effort and time for calibration, reducing productivity and safety.
Innovation Solution
A periphery monitoring apparatus for work machines that includes multiple object detection devices and a calibration part, which sequentially executes calibration algorithms in ascending order of processing time and manual operations to ensure efficient and accurate calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional calibration processing is performed for periphery display systems, then calibration accuracy is achieved, but calibration time and manual effort increase excessively
Solution Approach 1:
The calibration process is divided into multiple independent algorithms with different complexity levels. The calibration part selectively executes only the necessary algorithms based on current calibration needs, rather than performing all calibration steps every time. This segmentation allows the system to achieve required calibration accuracy while minimizing processing time and manual effort.
Solution Approach 2:
The system implements a multi-level calibration approach where not all calibration algorithms are executed in every calibration cycle. Instead, the calibration part determines which algorithms are necessary based on the specific situation, performing only partial calibration actions sufficient to achieve the required accuracy without unnecessary time consumption.
2Measurement precision
If conventional calibration processing is performed for periphery display systems, then calibration accuracy is achieved, but manual operations increase excessively
Solution Approach 1:
The calibration part automatically determines which calibration algorithms need to be executed and performs the calibration process with minimal human intervention. The system self-manages the calibration workflow by selecting appropriate algorithms and executing them autonomously, significantly reducing the manual operations required while maintaining calibration accuracy.
Solution Approach 2:
The calibration process is segmented into multiple algorithms with varying degrees of automation. The calibration part intelligently selects and executes only the necessary segments, reducing manual effort by automating the decision-making process about which calibration steps are required.
3Measurement precision
If multiple calibration algorithms are executed to ensure calibration accuracy, then calibration quality improves, but processing complexity increases
Solution Approach 1:
The calibration part dynamically adjusts the calibration process by selectively executing algorithms based on current system conditions and calibration requirements. This dynamic approach allows the system to maintain high calibration quality while managing processing complexity by adapting the level of calibration performed to the specific situation rather than always executing all algorithms.
Solution Approach 2:
The complex calibration process is divided into multiple independent algorithms that can be selectively executed. This segmentation reduces processing complexity by allowing the system to choose only the necessary algorithms for each calibration scenario, rather than requiring all algorithms to run in every case.
Data Source
AI summary
A periphery monitoring apparatus for a work machine, includes a plurality of object detection devices configured to detect an object around the work machine, and a calibration part configured to perform calibration of coordinate systems of the plurality of object detection devices, wherein the calibration part is configured to sequentially execute a plurality of calibration algorithms for the calibration in ascending order of processing time duration and number of manual operations, until the calibration is completed.