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» Performance Prediction in a Grid Environment
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ICRA
2009
IEEE
151views Robotics» more  ICRA 2009»
15 years 4 months ago
Probabilistic estimation of Multi-Level terrain maps
— Recent research has shown that robots can model their world with Multi-Level (ML) surface maps, which utilize ‘patches’ in a 2D grid space to represent various environment ...
Cesar Rivadeneyra, Isaac Miller, Jonathan R. Schoe...
GCC
2007
Springer
15 years 4 months ago
Adapting to Application Workflow in Processing Data Integration Queries
Data integration has evolved to provide efficient data management across distributed and heterogeneous data sources in grid environment. However, existing works in data integratio...
Yongwei Wu, Jia Liu, Gang Chen, Guangwen Yang, Bo ...
CLUSTER
2008
IEEE
15 years 4 months ago
Empirical-based probabilistic upper bounds for urgent computing applications
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some o...
Nick Trebon, Peter H. Beckman
ICRA
2005
IEEE
210views Robotics» more  ICRA 2005»
15 years 3 months ago
Improving Grid-based SLAM with Rao-Blackwellized Particle Filters by Adaptive Proposals and Selective Resampling
— Recently Rao-Blackwellized particle filters have been introduced as effective means to solve the simultaneous localization and mapping (SLAM) problem. This approach uses a par...
Giorgio Grisetti, Cyrill Stachniss, Wolfram Burgar...
RAS
2010
216views more  RAS 2010»
14 years 8 months ago
A nonparametric learning approach to range sensing from omnidirectional vision
We present a novel approach to estimating depth from single omnidirectional camera images by learning the relationship between visual features and range measurements available dur...
Christian Plagemann, Cyrill Stachniss, Jürgen...