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methods. Supported by the Marie Skłodowska-Curie Actions programme, the ElectronsMatter network is addressing this challenge through Electron Beam Powder Bed Fusion (EB-PBF), a cutting-edge Additive
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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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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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emphasizes developing and deploying AI tools—especially vision-based and multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in
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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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offer an exciting postdoctoral position, in collaboration with Demcon, focusing on off-road SLAM using lidar, camera, and IMU. Do you have a deep understanding of semantic segmentation, SLAM, sensor
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sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF robotic arm) interacts with a human subject and multiple hand-held tools
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). 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 physical parameters layers
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, optimization, and sensor fusion. The division has extensive collaborations both with industry and other research groups around the world. Read more about the division here: https://liu.se/en/organisation/liu/isy
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, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I