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In this article I will look at Conway’s Game of Life and introduce a new way to find interesting patterns, such as methuselahs, diehards or oscillators. Interestingly the specific goal is less interesting and the software can be extended easily in order to introduce a new goal.
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This article is about a project I did at the ISP at the University of Stuttgart. The second part is examining the transferability of our framework to other objects. We choose solar panel detection as such an other class, as there is a concrete demand to evaluate the development stages of renewable energies. Secondly solar panels exhibit a homogenous structure and are clearly visible and seperable, so an easy candidate for inference. In this case the goal is not to achieve the best inference results, but to test the transferability of our network.
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This article is about a project I did at the ISP at the University of Stuttgart. The goal was to program a model and algorithm that detects & segments trees on a statewide scale in Southern Germany. While our focus is on the village areas, cities and forests should also achive feasible results. This article is split in two parts, the first one focuses on the development of the detection model and framework. In the second part I examine how this framework can be adapted to other targets, such as solar panel detection.
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I did not do any research on this topic on my own, but only literature review, there is no content directly from me but only summary. If not directly cited the information is either considered common knowledge or from my references at the end, our main source that is reviewed is [1].