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Modeling a dynamic environment using a Bayesian multiple hypothesis approach. Artificial Intelligence. :311-344.. 1994.
Temporal Integration of Multiple Sensor Observations for Dynamic World Modeling: A Multiple Hypothesis Approach. International Workshop on Information Processing for Autonomous Mobile Robots: Theory and Application.. 1991.
Probabilistic Data Association for Dynamic World Modeling: A Multiple Hypothesis Approach. International Conference on Advanced Robotics.. 1991.
Unsupervised learning for mobile robot navigation using probabilistic data association. Proceedings of the workshop on Computational learning theory and natural learning systems (vol 2): intersections between theory and experiment: intersections between theory and experiment.. 1994.
Appearance-based SLAM in a Network Space. International Conference on Robotics and Automation (ICRA).. 2015.
Non-Gaussian SLAM Utilizing Synthetic Aperture Sonar. Robotics and Automation (ICRA), 2019 IEEE International Conference on.. 2019.
Place Recognition using Near and Far Visual Information. Proceedings of the 18th IFAC World Congress.. 2011.
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age. IEEE Transactions on Robotics. 32:1309–1332.. 2016.