Work Machine Surroundings Monitoring With Adaptive Target Marks
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Solution Overview
Problem
Existing surroundings monitoring systems for work machines face challenges in reliably displaying marks representing the position of monitoring targets on a display device, especially when communication bandwidth is insufficient due to large amounts of data from multiple monitoring targets.
Innovation Solution
The system adjusts the form and complexity of the mark displayed on the device based on the number of detected targets, using a control device to select and transmit data for displaying marks in various forms, such as M-gons, quadrangles, or line segments, to reduce data transmission requirements and ensure timely display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detailed mark information is transmitted for all detected monitoring targets, then the accuracy and completeness of target position representation is improved, but the communication bandwidth requirement increases and may cause data transmission delays
Solution Approach 1:
The system dynamically changes the parameter of mark complexity based on the number of detected monitoring targets. When multiple targets are detected, the control device selects simpler mark forms (line segments or quadrangles) to reduce data transmission volume. When fewer targets are detected, more complex marks (M-gons) are used to provide detailed representation, thus adapting the information density to communication conditions.
Solution Approach 2:
The mark display system transitions from a static approach to a dynamic one where the control device continuously monitors the number of detected targets and adjusts the mark complexity in real-time. This dynamic adaptation ensures that the communication bandwidth is efficiently utilized while maintaining adequate representation of monitoring targets under varying operational conditions.
2Productivity
If simple mark forms are used to reduce data transmission, then the communication bandwidth efficiency is improved, but the operator's ability to distinguish and track multiple targets may be reduced
Solution Approach 1:
The system adjusts the complexity parameter of marks based on the detection load. Simple mark forms (line segments, quadrangles) are used when multiple targets are present to ensure efficient data transmission and prevent bandwidth saturation. The control device optimizes the balance between transmission efficiency and target distinguishability by selecting appropriate mark complexity levels.
Solution Approach 2:
The system applies partial action by providing sufficient mark detail only when necessary. When multiple targets are detected, excessive detail is avoided to prevent communication overload. The control device transmits just enough information to maintain target distinguishability while keeping data volume manageable, accepting a trade-off in representation detail for the sake of system-wide communication efficiency.
3Adaptability or versatility
If the control device selects and transmits data for multiple mark forms, then the adaptability to different detection scenarios is improved, but the control system complexity increases
Solution Approach 1:
The control device is designed with multi-functionality to handle various detection scenarios. It can select from multiple mark forms (M-gons, quadrangles, line segments) and automatically determines the appropriate mark complexity based on the number of detected targets. This universal approach allows a single control device to adapt to different operational conditions without requiring separate systems for each scenario.
Solution Approach 2:
The control device implements dynamic selection logic that automatically adjusts mark complexity based on real-time detection data. The system transitions between different mark forms dynamically, selecting simpler forms when multiple targets are present and more complex forms when fewer targets are detected, thereby adapting to varying operational requirements through a unified dynamic control mechanism.
Data Source
AI summary
A surroundings monitoring system for a work machine includes an image capturing unit configured to capture an image of surroundings of the work machine and a display device configured to display the image of the surroundings of the work machine captured by the image capturing unit and a mark representing the position of a monitoring target. The display device is configured to display the mark in two or more different display forms.