A performance assessment study of point-cloud based localization algorithms with a real-time dynamic
room
TNO
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Helmond, Netherlands, Europe

Literature research on state-of-the-art point cloud localization algorithms with open-source packages in ROS (1 weeks). Literature research on state-of-the-art online dynamic point removers (1 weeks). Define metrics/KPIs to assess the performance of point cloud localization (0.5 weeks). Implement the point cloud remover (2.5 weeks). Test and assess the performance of the localization packages in a simulation environment (ROS) in real-time and with real data (2 weeks) Report your findings (2 ~ 4 weeks).

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