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Field
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learning models for robust crop row detection. Implement post-processing techniques on segmentation masks to enhance lane-finding accuracy. Develop and implement sensor fusion and SLAM (Simultaneous
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interest in optical spectroscopic sensors to support industrial research and innovation projects in agrifood applications. Photonics technologies, particularly optical spectroscopic sensors, enable non
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, integrate, and validate sensors, especially but not limited to biomedical sensors for physiological monitoring. --Collect experimental data, implement algorithms and signal processing, contribute to system
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research project at IDLab-MEDIA (https://media.idlab.ugent.be/ ), UGent – imec, aimed at advancing the state of the art in motion capture, sensor fusion, immersive media, and 3D computer vision. Within
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Literature Review: Survey reinforcement learning, in-hand manipulation, object grasping and multi-modal (vision, proprioception, and tactile) sensor fusion Framework Development: Cell setup in sim and real
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard
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algorithm development to hardware in the loop (HIL) validation, architectures for autonomous coordination through guidance, navigation and control of distributed space segments, under cooperative and non
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qualifications include: 1) experience implementing Simultaneous Localisation and Mapping (SLAM) algorithms; 2) familiarity with sensor-based navigation and field trials of mobile robotic systems. For more
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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algorithm-driven sensing systems, remote sensing and multi-modal sensor integration Applicants do not need to cover all areas listed above but should bring strong expertise in at least one and a broad