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ICCV
2011
IEEE
12 years 6 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ICRA
1998
IEEE
128views Robotics» more  ICRA 1998»
13 years 11 months ago
Hybrid, High-Precision Localisation for the Mail Distributing Mobile Robot System MOPS
This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
Kai Oliver Arras, Sjur J. Vestli
ICTAI
2009
IEEE
13 years 4 months ago
TiMDPpoly: An Improved Method for Solving Time-Dependent MDPs
We introduce TiMDPpoly, an algorithm designed to solve planning problems with durative actions, under probabilistic uncertainty, in a non-stationary, continuous-time context. Miss...
Emmanuel Rachelson, Patrick Fabiani, Fréd&e...
FLAIRS
2001
13 years 8 months ago
Probabilistic Planning for Behavior-Based Robots
Partially Observable Markov Decision Process models (POMDPs) have been applied to low-level robot control. We show how to use POMDPs differently, namely for sensorplanning in the ...
Amin Atrash, Sven Koenig
EMO
2009
Springer
174views Optimization» more  EMO 2009»
14 years 1 months ago
Constraint Programming
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
Pascal Van Hentenryck