Virtual Path Guidance Using 3D Spatial Mapping for Work Machines
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Solution Overview
Problem
Existing self-propelled work machines lack the ability to plan and follow a path on-site without pre-uploaded georeferenced maps, making it difficult for operators to navigate and maintain accuracy in trenching and other ground surface operations.
Innovation Solution
A guidance system that uses a camera and sensors to create a 3D spatial map of the environment, allowing operators to input virtual paths and adjust them in real-time, with the processor comparing the actual path of the work machine to the virtual path and adjusting the trajectory accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pre-uploaded georeferenced maps are used for navigation, then path accuracy is improved, but system complexity and cost increase
Solution Approach 1:
The patent creates a virtual copy of the physical work environment by capturing images with a camera and generating a two-dimensional representation of the work area. This virtual map serves as a simplified alternative to complex georeferenced maps, allowing path planning and navigation without requiring expensive pre-uploaded geographic data while maintaining sufficient accuracy for operational guidance
Solution Approach 2:
The patent replaces the mechanical/geodetic system of pre-uploaded georeferenced maps with an optical/image-based system. By using a camera to capture and process visual data of the work area, the system substitutes complex geographic information systems with simpler image processing and recognition techniques, reducing system complexity while achieving comparable navigation accuracy
2Device complexity
If operators manually navigate without path guidance, then device complexity is reduced, but operational accuracy deteriorates
Solution Approach 1:
The system enables operators to independently create their own virtual maps and plan paths without requiring external infrastructure like pre-uploaded georeferenced maps. The work machine itself captures images, generates the virtual environment, and provides navigation guidance, making the system self-sufficient and eliminating dependence on complex external systems while maintaining operational accuracy
Solution Approach 2:
The system performs preliminary actions by capturing images and generating a virtual map of the work area before the operator needs to plan and execute the path. This pre-processing of the environment allows the operator to visualize the workspace and plan the path in advance, improving operational accuracy without requiring complex real-time guidance systems
3Device complexity
If virtual paths are pre-planned without real-time adjustment, then system complexity is reduced, but adaptability to dynamic environments deteriorates
Solution Approach 1:
The system continuously compares the actual position of the work machine with the planned virtual path using real-time image data and position information. When deviations are detected, the system provides feedback to the operator, enabling dynamic path adjustment. This feedback mechanism allows the system to adapt to changing environmental conditions and obstacles while maintaining relatively simple system architecture
Solution Approach 2:
The virtual path is not fixed but can be dynamically adjusted based on real-time conditions. The system allows operators to modify the virtual path in response to obstacles, changing terrain, or operational requirements, transforming a static navigation system into a dynamic one that adapts to the evolving work environment without significantly increasing system complexity
Data Source
AI summary
A guidance system for remotely guiding a work machine along a virtual path. The system uses a vision system to capture image data representative of areas surrounding the work machine. The image data is used to produce a spatial map. Analysis of image data allows the work machine's then-current position to be represented on the spatial map. A virtual path extending from the work machine's position is next added to the spatial map. The virtual path may be generated in response to external input provided at the display showing an image of the spatial map. Using continuously-updated image data, the work machine is driven toward the virtual path. During operation, the actual path of the work machine is compared to the virtual path. If any deviation between the paths is detected, the trajectory of the work machine is automatically adjusted.