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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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the future of smart, sustainable mobile machinery. We are now looking for Doctoral Researcher for a project of real-time multimodal perception for sensor fusion on a mobile working machine. Job Description
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recent years, we have created ground-breaking innovations such as the world's fastest and most accurate radiation detector, a cancer-sniffing sensor device for smartphones, and a headphone set entirely
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image analysis principles and algorithms. Proficiency with command line prompting and at least one programming language. Familiarity with software engineering practices such as version management, build
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science or engineering field; or equivalent combination of degree and experience required. Extensive experience with image analysis principles and algorithms. Proficiency with command line prompting and at
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of Finland under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University) . We have been developing computational algorithms and
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. Science objectives: 1) To develop methods of building traversability costs from real-time sensor data for a given machine and sensor modality; 2) To develop framework for rigorous and efficient integration
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms