Topics:
Theme:
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Taking Multi-Sensor Fusion to the Next Level: From Theory to Applications
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Theory:
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Probability theory, Bayesian inference, nonlinear estimation, Dempster-Shafer, fuzzy sets, logic, machine learning, neural networks, distributed architectures
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Sensors:
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RGB cameras, depth cameras, radar and sonar devices, laser scanner, infrared sensors, IMU, gyroscopes
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Algorithms for:
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Tracking and localization, SLAM, perception, AI in robotics, cognitive systems, sensor registration, big data, sensor management, distributed sensor systems, recognition, visual servoing, learning by demonstration
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Finance Chair
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- Chee-Yee Chong, Independent Consultant,
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Publications Chair
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- Felix Govaers, Fraunhofer FKIE,
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Tutorials Chair
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- Sten F. Andler, University of Skövde,
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Special Sessions Chair
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- Robert Lynch, University of Connecticut,
- Ramona Georgescu, United Tech. Research Center,
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Publicity Chair
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- Felix Opitz, Airbus Defence and Space,
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Awards Chair
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- Roy Streit, Metron Inc.,
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