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Field
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system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms;; - Previous experience in Deep Learning with LiDAR and vision systems
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satellite sensors. - Collaborate with data scientists and software engineers to operationalize algorithms and integrate them into cloud-based platforms. - Produce high-quality technical reports, maps, and
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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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between the simulator and sensors located in the operating room. This will require implementing data acquisition algorithms and data processing algorithms within the simulator. The second point concerns
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National Institute for Research and Development in Microtechnologies - IMT Bucharest | Romania | 11 days ago
Specific conditions necessary for the job:Experience in developing electronic applications for sensor interfacing and in implementing algorithms using FPGA technologies.Basic knowledge of telecommunications
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intelligence (AI) and machine learning(ML). Duties This position combines knowledge of the Earth observation (EO) domain (EO instruments, EO data, EO algorithms, modelling, etc.) and AI/ML, as well as data
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will be embedded in the ResiRob consortium (which brings together mechanical design, embedded sensors, control, materials science) and will work in close collaboration with teams specializing in
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of integrated and inertial navigation. The working group deals with multisensor systems, i.e. the sensor fusion of GNSS (GPS, Galileo, GLONASS, Beidou), INS (inertial navigation system), cameras, LiDAR (light
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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sensing; support in choosing tip geometry, stud magazine, and interfaces to the vacuum chamber). • Co-development of algorithms for optimal welding (trajectory and force planning, adaptive parameters