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» A Genetic Algorithm for Robust Motion Planning
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ICCV
2011
IEEE
12 years 5 months ago
Multi-hypothesis Motion Planning for Visual Object Tracking
In this paper, we propose a long-term motion model for visual object tracking. In crowded street scenes, persistent occlusions are a frequent challenge for tracking algorithm and ...
Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Sh...
WSC
2004
13 years 6 months ago
Multi-Period Robust Capacity Planning Based on Product and Process Simulations
This paper presents a method for allocating production capacity among flexible and dedicated machines based on uncertain demand forecasts of products in a production portfolio. Gi...
Emre Kazancioglu, Kazuhiro Saitou
GECCO
2008
Springer
162views Optimization» more  GECCO 2008»
13 years 6 months ago
Robust method of detecting moving objects in videos evolved by genetic programming
In this paper we investigated the use of Genetic Programming (GP) to evolve programs which could detect moving objects in videos. Two main approaches under the paradigm were propo...
Andy Song, Danny Fang
ICRA
2010
IEEE
97views Robotics» more  ICRA 2010»
13 years 3 months ago
Probabilistic motion planning of balloons in strong, uncertain wind fields
—This paper introduces a new algorithm for probabilistic motion planning in arbitrary, uncertain vector fields, with emphasis on high-level planning for Montgolfier´e balloons...
Michael T. Wolf, Lars Blackmore, Yoshiaki Kuwata, ...
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
13 years 11 months ago
Analysis of noisy time-series signals with GA involving viral infection with tropism
In this paper we report on a study in which genetic algorithms are applied to the analysis of noisy time-series signals, which is related to the problem of analyzing the motion ch...
Yuji Sato, Yuta Yasuda, Ryuji Goto