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ICRA
2006
IEEE
138views Robotics» more  ICRA 2006»
14 years 2 months ago
Evaluation of Algorithms for bearing-only SLAM
— An important milestone for building affordable robots that can become widely popular is to address robustly the Simultaneous Localization and Mapping (SLAM) problem with inexpe...
Kostas E. Bekris, Max Glick, Lydia E. Kavraki
ICRA
2007
IEEE
157views Robotics» more  ICRA 2007»
14 years 2 months ago
Automatic Relocalisation for a Single-Camera Simultaneous Localisation and Mapping System
Abstract— We describe a fast method to relocalise a monocular visual SLAM (Simultaneous Localisation and Mapping) system after tracking failure. The monocular SLAM system stores ...
Brian Williams, Paul Smith, Ian D. Reid
ICRA
2002
IEEE
102views Robotics» more  ICRA 2002»
14 years 1 months ago
Maximally Informative Statistics for Localization and Mapping
This paper presents an algorithm for simultaneous localization and mapping for a mobile robot using monocular vision and odometry. The approach uses Variable State Dimension Filte...
Matthew Deans
UAI
2000
13 years 10 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
CVPR
2009
IEEE
13 years 6 months ago
Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...
Junliang Xing, Haizhou Ai, Shihong Lao