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Key technical challenges consist of system architecture, sensor selection, calibration, and error characterization, local and global localization algorithms, sensor integration, registration, and fusion, and complete and accurate coverage of all details.
This is inevitable with global localization algorithms, as the local environment seen by a robot repeats at other parts of the map.
We represent the conditional dependence relation between local sensing results, actions, and belief of the global localization using a Bayesian network.
In the on-line navigation stage, the robot hierarchical localizes itself to the most likely node through the robust probability distribution global localization algorithm, and estimates the relative robot pose in topological node with an effective solution to the classical five-point relative pose estimation algorithm.
Global localization is a very fundamental and challenging problem in Robotic Soccer.
This work addresses the problem of global localization in indoor environment by using vision-based technique.
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The second set consists of the 3503 predictions included in the 'Majority Consensus' of bioinformatic predictors of protein global subcellular localization (see section 'Majority Consensus' improves the prediction of global subcellular localization' for details).
Several global C/EBP localization data sets have been published [ 43, 44], but none has highlighted C/EBPβ localization in the methylated regions of the genome.
In this study, novel solutions to Global Urban Localization problem is proposed and examined rigorously.
We propose a new vision-based method for global robot localization using an omnidirectional camera.
Finally, it is demonstrated with extensive experiments that solution of Global Urban Localization problem is possible.
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