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experience in ROS/ROS2 and Linux environments. Familiarity with LiDAR/camera calibration, sensor error modeling, and basic filtering algorithms (e.g., Kalman, particle filters). Strong communication skills and
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experience in ROS/ROS2 and Linux environments. Familiarity with LiDAR/camera calibration, sensor error modeling, and basic filtering algorithms (e.g., Kalman, particle filters). Strong communication skills and
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validation in fire fighting environments Job Requirements: Master's degree in Robotics, EE, CS or related fields. Strong background in 4D radar point cloud processing, sensor fusion, Kalman filtering
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respect to flow data, and develop methods for data enrichment or reduction if necessary. 3) We will develop methods based on the ensemble Kalman filter (EnKF) to improve both the modelling of small-scale
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) Mathematical Modeling, Optimization, and Simulation Classical Image Processing and Machine/Deep Learning Probalistic Sensor Data Processing ( Kalman Filter, etc.) What you can expect A dynamic work environment