| Joris Van Dam. Environment Modelling for Mobile Robots: Neural Learning for Sensor Fusion. PhD thesis, Dept. of Computer Systems, University of Amsterdam, 1998. |
....One approach for data fusion is probabilistic fusion, where the probability of of an object at p i is calculated given the measurements. This means that we have to calculate P (p i = occ SSD 1 , SSD 2 , SSD k ) An overview of various probabilistic fusion rules is given by [4]. For the moment we adopt the independent opinion pool model and write: P (p i = occ SSD 1 , SSD 2 , SSD k ) P (p i = occ) k 1) k # k=1 P (p i = occ SSD k ) 6) where P (p i = occ) is the prior probability of being occupied. The individual sensor model is ....
Joris Van Dam. Environment Modelling for Mobile Robots: Neural Learning for Sensor Fusion. PhD thesis, Dept. of Computer Systems, University of Amsterdam, 1998.
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Joris Van Dam. Environment Modelling for Mobile Robots: Neural Learning for Sensor Fusion. PhD thesis, Dept. of Computer Systems, University of Amsterdam, 1998.
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