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ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
15 years 6 months ago
Using Multiple Gaussian Hypotheses to Represent Probability Distributions for Mobile Robot Localization
A new mobile robot localization technique is presented which uses multiple Gaussian hypotheses to represent the probability distribution of the robots location in the environment....
David J. Austin, Patric Jensfelt
INFOCOM
2011
IEEE
14 years 6 months ago
Scalable and fully distributed localization with mere connectivity
Abstract—This work proposes a novel connectivity-based localization algorithm, well suitable for large-scale sensor networks with complex shapes and non-uniform nodal distributio...
Miao Jin, Su Xia, Hongyi Wu, Xianfeng Gu
127
Voted
LCPC
1993
Springer
15 years 6 months ago
Maximizing Loop Parallelism and Improving Data Locality via Loop Fusion and Distribution
Abstract. Loop fusion is a program transformation that merges multiple loops into one. It is e ective for reducing the synchronization overhead of parallel loops and for improving ...
Ken Kennedy, Kathryn S. McKinley
AAAI
2000
15 years 3 months ago
Monte Carlo Localization with Mixture Proposal Distribution
Monte Carlo localization (MCL) is a Bayesian algorithm for mobile robot localization based on particle filters, which has enjoyed great practical success. This paper points out a ...
Sebastian Thrun, Dieter Fox, Wolfram Burgard
95
Voted
HICSS
2009
IEEE
106views Biometrics» more  HICSS 2009»
15 years 9 months ago
Fully Distributed Scrum: Replicating Local Productivity and Quality with Offshore Teams
Scrum was designed for hyperproductive teams where productivity increases by 5-10 times over industry averages and many colocated teams have achieved this effect. The question for...
Jeff Sutherland, Guido Schoonheim, Mauritz Rijk