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IJRR
2002
159views more  IJRR 2002»
13 years 4 months ago
Mapping Partially Observable Features from Multiple Uncertain Vantage Points
This paper presents a technique for mapping partially observable features from multiple uncertain vantage points. The problem of concurrent mapping and localization (CML) is state...
John J. Leonard, Richard J. Rikoski, Paul M. Newma...
ISRR
2001
Springer
105views Robotics» more  ISRR 2001»
13 years 9 months ago
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization
One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, i...
John J. Leonard, Paul M. Newman, Richard J. Rikosk...
ICRA
2002
IEEE
116views Robotics» more  ICRA 2002»
13 years 9 months ago
Linear 2D Localization and Mapping for Single and Multiple Robot Scenarios
We show how to recover 2D structure and motion linearly in order to initialize Simultaneous Mapping and Localization (SLAM) for bearings-only measurements and planar motion. The m...
Frank Dellaert, Ashley W. Stroupe
HCI
2009
13 years 2 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...
RSS
2007
198views Robotics» more  RSS 2007»
13 years 6 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte