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Student assistant (m/f/d)-Multi-Modal Sensor Fusion, Object Detection in Clutter and Object Tracking
. The focus here is robust multi-camera fusion, accurate object detection in cluttered scenes (bulk goods), and multi-modal tracking that combines camera data with tactile feedback. Using deep learning, multi
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increasingly important, but also more complex, due to rising demands on performance, precision, quality, and sustainability. Bayesian optimization (BO) - a special machine learning approach - represents a
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. Combined with previous works in dynamic object detection and removal, an automated pipeline for creating such maps will be developed, which we expect to be of great benefit to real-time localization in
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Future. Discover. Together. The “Wireless Communications and Networks” department of the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, develops wireless communication
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, as part of the development, one position located in Görlitz as Research Associate / PhD student (f/m/x) Integration of CMOS detector technology into the Universal Bayesian Imaging Kit (UBIK) (subject
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created. At the same time, one of the world's most comprehensive natural history collections with over 30 million objects will be housed in modern collection buildings and completely digitized in
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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to enable safe navigation, using the event camera as the primary sensor. The approach leverages prior information such as object detection, optical flow, and depth, while also integrating multimodal inputs
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scalable system that supports cutting-edge biomedical research. Key Responsibilities: Define and maintain the overall system architecture, ensuring alignment with project objectives and interoperability