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of the following activities: Sensor Integration and Robotic PerceptionExpertise in sensor fusion and sensor calibration; Experience with LiDAR, RGB-D/multimodal cameras, GNSS, IMU, UWB sensors, and IoT devices
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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autonomous systems, complex networks, data-driven modeling, learning control, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the
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fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems
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interdisciplinary 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
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for Digital Twin Earth (AI4DTE). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | about 1 month ago
rigor # Proficiency in Python (or Julia/R) for data handling, ML model development, and statistical analysis # Ready to work with time‑series data, sensor fusion, and feature engineering # Very good
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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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the question ‘how close to failure is the asset?’. By integrating a suite of state-of-the-art sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely