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of models and methods for radar signal processing (including signals from sources of opportunity) for parameter estimation. Where to apply Website https://www.uniroma1.it/it Requirements Additional
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radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object detection and free space estimation. However, current neural
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drones. You will develop SLAM that combines radar, inertial sensors, lidar and cameras, and control methods that let a drone fly alongside a ground robot and land on it. We value good collaboration skills
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. The research will focus on one or more of the following areas. - Design, characterisation and calibration of cold-hardened sensor payloads for drones, for example lidar, radar, thermal cameras, event cameras and
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following areas. - Design, characterisation and calibration of cold-hardened sensor payloads for drones, for example lidar, radar, thermal cameras, event cameras and inertial sensors - Multi-sensor state
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biodiversity, and interactions between environment and society. For more information on ASE please visit https://www.ntu.edu.sg/ase . The Yanyan Cheng research group is seeking a Research Fellow. This position
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to reshape the future of spaceborne radar
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radar? About the position This PhD project will use airborne radar data collected over the Greenland Ice Sheet since the early 1990s to reconstruct how the near-surface firn layer has changed over time
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
conditions. The overarching objective of the project is to develop an extensible, scalable framework that integrates structural, radar, spectral, and temporal information to continually update estimates