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Exploiting the Unexpected: Negative Evidence Modeling and Proprioceptive Motion Modeling for Improved Markov Localization, , , and . RoboCup 2005: Robot Soccer World Cup IX, page 24-35. Springer, (2006)Object Modelling in Dynamic Environment by Mobile Agents. Proceedings of the 2005 CS&P, (2005)Sensor-Actuator-Comparison as a Basis for Collision Detection for a Quadruped Robot, and . 8th International Workshop on RoboCup 2004 (Robot World Cup Soccer Games and Conferences), 3276, page 150-159. Springer, (2005)Negative Information and Proprioception in Monte Carlo Self-Localization for a 4-Legged Robot, , , and . Nineteenth International Joint Conference on Artificial Intelligence (IJCAI), (2005)Workshop on Agents in Real-Time and Dynamic Environments.Pedestrian Head and Body Pose Estimation with CNN in the Context of Automated Driving., and . VEHITS, page 353-360. SCITEPRESS, (2020)Multi Robot Object Tracking and Self Localization Using Visual Percept Relations, and . Proceedings of IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS) 2006, page 31-37. (2007)Making Use Of What You Don't See: Negative Information In Markov Localization, , , and . Proceedings of the 2005 IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS), IEEE, (2006)LiDAR-Based Object-Level SLAM for Autonomous Vehicles., , , and . IROS, page 4397-4404. IEEE, (2021)Sensor Modeling Using Visual-Object Relation in Multi Robot Object Tracking, and . RoboCup 2006: Robot Soccer World Cup X, Lecture Notes in Artificial Intelligence, Springer, (2007)to appear.Modellierung bewegter Objekte durch mobile Agenten: Diplomarbeit. Institut für Informatik, Humboldt-Universität zu Berlin, (2004)