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» Monte Carlo Localization Using SIFT Features
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RAS
2007
85views more  RAS 2007»
14 years 9 months ago
Self-localization in non-stationary environments using omni-directional vision
This paper presents an image-based approach for localization in non-static environments using local feature descriptors, and its experimental evaluation in a large, dynamic, popul...
Henrik Andreasson, André Treptow, Tom Ducke...
ICRA
2008
IEEE
114views Robotics» more  ICRA 2008»
15 years 4 months ago
Lazy localization using the Frozen-Time Smoother
— We present a new algorithm for solving the global localization problem called Frozen-Time Smoother (FTS). Time is ‘frozen’, in the sense that the belief always refers to th...
Andrea Censi, Gian Diego Tipaldi
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
15 years 2 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso
ECAI
2010
Springer
14 years 10 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave
VMV
2008
168views Visualization» more  VMV 2008»
14 years 11 months ago
Integrating robust likelihoods with Monte-Carlo filters for multi-target tracking
In this paper, a dynamic multi-modal fusion scheme for tracking multiple targets with Monte-Carlo filters is presented, with the goal of achieving robustness by combining complime...
Giorgio Panin, Thorsten Röder, Alois Knoll