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with the crane, the crane must be unfolded in advance. If the forestry crane is equipped with the necessary sensors and control technology, this work step can be automated. In the course of this master
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& 3D vision systems that go beyond the state of the ar t, by developing advanced vision sensor concepts , designing scalable embedded vision systems , and applying machine learning methods to conduct
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on sensor and IoT systems on unmanned robots or aircraft (drones) in the event of the release of biological, chemical or radiological hazardous substances (CBRN), for example in the event of disasters.
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on sensor and IoT systems on unmanned robots or aircraft (drones) in the event of the release of biological, chemical or radiological hazardous substances (CBRN), for example in the event of disasters.
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Sensors (e.g., RGB, thermal cameras, hyperspectral sensors) Interest in writing research proposals as well as scientific publications Ability to work in a team with initiative, flexibility, and commitment
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develop 2D and 3D vision systems, that go beyond state of the art. To reach this we combine innovations in hardware, software, and algorithms - We develop ultrafast line scan sensors and cameras and design
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develop 2D and 3D vision systems, that go beyond state of the art. To reach this we combine innovations in hardware, software, and algorithms - We develop ultrafast line scan sensors and cameras and design