| F. de Jong, J. Caarls, R. Bartelds, and P.P. Jonker. A two-tiered approach to self-localization. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001. |
....usually indicates the robot is standing in front of a wall. The Player skills module can react by taking appropriate measures to avoid hitting it. As knowing your own position is crucial for constructing a global world model we also use the camera for self localization. Vision self localization [25] uses the lines on the field and the goals. The self localization mechanism involves a global and a local method. The global method first splits the screen into multiple regions of interest and finds straight lines in each of these. These are matched to the world model giving an estimate of the ....
F. de Jong, J. Caarls, R. Bartelds, and P. P. Jonker. A two-tiered approach to self-localization. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup 2001. Springer-Verlag, to appear.
....usually indicates the robot is standing in front of a wall. The Player skills module can react by taking appropriate measures to avoid hitting it. As knowing your own position is crucial for constructing a global world model we also use the camera for self localization. Vision self localization [14] uses the lines on the field and the goals. The self localization mechanism involves a global and a local method. The global method first splits the screen into multiple regions of interest and finds straight lines in each of these. These are matched to the world model giving an estimate of the ....
....with the walls around the field and the goals. By iteratively trying to match the perceived lines to an estimated model of the world, the robot s position could be calculated. Clockwork Orange, the Dutch robot soccer team also uses an edge based approach for self localization (described in [14] and summarized in [25] Appearance based. Opposite to the other approaches, using the appearance based approach no features are extracted from the image. The entire image or (to increase efficiency) a lower dimensional representation of the entire image is used. This image is compared with the ....
[Article contains additional citation context not shown here]
F. de Jong, J. Caarls, R. Bartelds, and P. P. Jonker. A two-tiered approach to self-localization. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup 2001. Springer-Verlag, to appear.
....[2] has been run to estimate the systematic error. For a typical Nomad this error turned out to be 20cm after driving a 3m square (1.7 ) As knowing your own position is crucial for constructing a global world model we also use the camera for self localization. The Vision selflocalization module [3] uses the lines on the field and the goals. The self localization mechanism involves a global and a local method. The global method first splits the screen into multiple regions of interest and finds straight lines in each of these. These are matched to the world model giving an estimate of the ....
F. de Jong, J. Caarls, R. Bartelds, and P. P. Jonker. A two-tiered approach to selflocalization. In Proc. RoboCup 2001.
....estimated by running an UMBBench procedure as described in [1] For the observation model, a two tiered approach is used for computing the likelihood of an observation based on a matching procedure of observed line segments to a model of the soccer eld. Details about this method can be found in [3]. 2.2 Lag ltering A second characteristic of multi robot systems is that the communicated information may arrive with delays due to limited network resources (latencies, low bandwidth, etc. and the above inference cannot always be carried out instantaneously. For this reason, the robots must ....
F. de Jong, J. Caarls, R. Bartelds, and P. P. Jonker. A two-tiered approach to self-localization. In Proc. RoboCup 2001 Int. Symposium, Seattle, USA, Aug. 2001.
....with appropriate corrections to the uncertainty that accumulates due to slip. For the observation model, a two tiered approach is used for localization, where a matching is carried out of a set of observed line segments to a model of the soccer eld. Details about this method can be found in [3]. 3.2 Visualization The visualization is equally usable and relevant for both simulation and real robots. Here we will mainly discuss the relevance for the simulation. The type of visualization used depends on the role the human (supervisor) has to play. If overview of the situation is ....
F. de Jong, J. Caarls, R. Bartelds, and P. P. Jonker. A two-tiered approach to self-localization. In Proc. RoboCup 2001 Int. Symposium, Seattle, USA, Aug. 2001.
No context found.
F. de Jong, J. Caarls, R. Bartelds, and P.P. Jonker. A two-tiered approach to self-localization. In A. Birk, S. Coradeschi, and S. Tadokoro, editors, RoboCup-2001.
No context found.
de Jong, F., Caarls, J., Bartelds, R., Jonker, P.: A two-tiered approach to self-localization. In Birk, A., Coradeschi, S., Tadokoro, S., eds.: RoboCup-2001: Robot Soccer World Cup V. Volume 2377 of Lecture Notes in Artificial Intelligence. Springer Verlag, Berlin (2002) 405--410
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de Jong, F., Caarls, J., Bartelds, R., Jonker, P.: A two-tiered approach to selflocalization. In: RoboCup 2001: Robot Soccer World Cup V. LNCS (2002) 405--410
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