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• W2010142364 abstract "In this paper we present a method for an appearance-based modeling of the environment of a mobile robot. We describe the task (localization of the robot) in a probabilistic framework. Linear image features are extracted using a Principal Component Analysis. The appearance model is represented as a probability density function of the image feature vector given the location of the robot. We estimate this density model from the data with a kernel estimation method. We show how the parameters of the model influence the localization performance. We also study how many features and which features are needed for good localization." @default.
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• W2010142364 date "2001-04-01" @default.
• W2010142364 modified "2023-10-14" @default.
• W2010142364 title "A probabilistic model for appearance-based robot localization" @default.
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• W2010142364 doi "https://doi.org/10.1016/s0262-8856(00)00086-x" @default.
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