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of simulated sensors (vision, sonar, LiDAR, inertial navigation). - Implementation of guidance, control, and planning algorithms under environmental constraints. - Implementation of distributed simulation
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of the Department of Geodesy and Geoinformation, TU Wien is seeking a motivated Project Assistant (any gender) to work as a Researcher in trajectory estimation, satellite navigation and high resolution LiDAR mapping
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familiarity with common AI, Transformers (3d), Waymo data, and Audi data frameworks. Experience with Valeo LIDAR systems as well as managing, generating, and visualizing LIDAR data Preferred Education
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characterization at large scales using both LiDAR and RGB/multispectral data. High resolution vegetation mapping using Lidar and Satellite Imagery. Participation in the construction of Multi-Layer Digital Twin
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instrumentation into real world scenarios, in particular we developed and investigated environmental applications of Scheimpflug lidar. We pioneered laser remote sensing of insects for more than a decade, both in
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resolution LiDAR mapping. Details: https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation-… Where to apply Website https://www.science.hr/jobs/218168/researcher-in-trajectory-estimation
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for open-access results. Integrate satellite analysis, machine learning outputs, LiDAR, and field data into standardized GIS datasets, providing guidance on data structuring, metadata, and quality control
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-visitors-with-wildlife-natural-habitats.html Schindling, J., Gibbes, C. (2014) LiDAR as a tool for archaeological research: a case study. Archaeol Anthropol Sci 6, 411–423 https://doi.org/10.1007/s12520-014
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include validation of the proposed models, quantitative performance evaluation, and comparison with other sensing techniques such as cameras and LiDAR. A strong interest in wireless systems, signal
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. ETRO, the Department of Electronics and Informatics (http://www.etrovub.be/) of the Vrije Universiteit Brussel (VUB), performs fundamental and applied research in signal processing, AI, computer vision