Computer Vision Control
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The aim of the project was to create a system using an artificial 3D environment to allow generation, analysis/processing and subsequent activity such as autonomous navigation before they are allowed to, say, drive a vehicle, fly a plane or even drive your automatic lawn mower or vacuum cleaner.
The finished project comprises an adapted 3D games engine allowing image processing of the output of the engine and camera control from algorithms created in MATLAB. Using this system a user can create 3D scenarios and write control algorithms to process the images obtained from the engine and control the camera accordingly. Examples include: tracking objects and navigating rooms and landscapes.
Cite As
Chris Thomson (2024). Computer Vision Control (https://www.mathworks.com/matlabcentral/fileexchange/3312-computer-vision-control), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
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- Control Systems > Nonlinear Systems > Adaptive Control >
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis >
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Version | Published | Release Notes | |
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1.0.0.0 |