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home [2021/12/15 11:26] Quirin Lohr |
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| Our research group is working on a range of topics in Computer Vision, Machine Learning and Artificial Intelligence. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques. | Our research group is working on a range of topics in Computer Vision, Machine Learning and Artificial Intelligence. Computer Vision is about interpreting images. More specifically the goal is to infer properties of the observed world from an image or a collection of images. Our work combines a range of mathematical domains including statistical inference, differential geometry, continuous (partial differential equations) and discrete (graph-theoretic) optimization techniques. | ||
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| The Smart Robotics Lab (SRL) focuses on enabling technologies for mobile robots operating in a potentially unknown environment. This includes localisation (without infrastructure such as GPS), mapping, and 3D scene understanding with a suite of sensors, most importantly cameras. Respective algorithms ranging from computer vision and machine learning to motion planning and control need to be processed efficiently on-board to yield accurate results in real-time. The aim is to empower the next generation of intelligent mobile robots to plan and execute complex tasks safely in potentially cluttered, and dynamic environments, | The Smart Robotics Lab (SRL) focuses on enabling technologies for mobile robots operating in a potentially unknown environment. This includes localisation (without infrastructure such as GPS), mapping, and 3D scene understanding with a suite of sensors, most importantly cameras. Respective algorithms ranging from computer vision and machine learning to motion planning and control need to be processed efficiently on-board to yield accurate results in real-time. The aim is to empower the next generation of intelligent mobile robots to plan and execute complex tasks safely in potentially cluttered, and dynamic environments, | ||
