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-aware navigation -Learning-based large scale collaborative SLAM and coverage path planning for large-scale dense reconstruction For further information about a specific subject see general curricula
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collaborative SLAM and coverage path planning for large-scale dense reconstruction For further information about a specific subject see general curricula for the Board of the faculty of science and technology
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Department. Duties of the position perform research leading to a PhD within the topics of visual sensing and visual odometry (VO), SLAM, multi-sensor fusion and Self-Calibration such as: developing robust
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leading to a PhD within the topics of visual sensing and visual odometry (VO), SLAM, multi-sensor fusion and Self-Calibration such as: developing robust visual-acoustic sensing configuration and odometry
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data exchange Knowledge of SLAM techniques Expertise in Multi-sensor data fusion Mapping techniques Language Skills: Fluent written and verbal communication skills in English are required. Here's what
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robots and marine systems. Strong software development skills. Relevance of MSc topic Other relevant experience with machine learning for perception, SLAM and path planning. Good written and oral Norwegian
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comprehensible summaries of their theses, contributing to a science slam, etc. complete a training course in generic skills PDF Download International elements International guest lecturers Integrated internships