Abstract
We want to implement an embedded vision system that can interpret an image in order to steer a robot accordingly, e.g., avoiding obstacles, following lane markings, identifying a goal by color or shape—or all of the above. Since the robot is moving and other objects in the scene may be as well, we have to be fast. Ideally, we want to achieve a frame rate of at least 10 frames per second (fps) for the whole perception–action cycle. Of course, given the limited processing power of an embedded controller, this restricts the manageable image resolution as well as the possible complexity of the image processing operations.
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Bräunl, T. (2022). Image Processing. In: Embedded Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-16-0804-9_16
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DOI: https://doi.org/10.1007/978-981-16-0804-9_16
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