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CA
1999
IEEE
13 years 11 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
13 years 5 months ago
Visual odometry priors for robust EKF-SLAM
— One of the main drawbacks of standard visual EKF-SLAM techniques is the assumption of a general camera motion model. Usually this motion model has been implemented in the liter...
Pablo Fernández Alcantarilla, Luis Miguel B...
IROS
2007
IEEE
129views Robotics» more  IROS 2007»
14 years 1 months ago
Decomposition of line segments into corner and statistical grown line features in an EKF-SLAM framework
Abstract— Robots are emerging from industrial plants toward every people’s daily life. Thus, navigation in and understanding of human related environments becomes a prerequisit...
Christian Pascal Connette, Oliver Meister, Martin ...
IROS
2006
IEEE
128views Robotics» more  IROS 2006»
14 years 1 months ago
Improving Data Association in Vision-based SLAM
— This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and app...
Arturo Gil, Óscar Reinoso, Óscar Mar...
RSS
2007
159views Robotics» more  RSS 2007»
13 years 8 months ago
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
— In probabilistic mobile robotics, the development of measurement models plays a crucial role as it directly influences the efficiency and the robustness of the robot’s perf...
Christian Plagemann, Kristian Kersting, Patrick Pf...