The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper studies natural feature based localization for mobile robot navigation in semi-structured outdoor environments using a laser range sensor. We propose an algorithm for feature extraction by using switching models between line model and circle model. In order to avoid the estimation error caused by the linearization in the extended Kalman filtering (EKF), a particle filter is applied to realize...
Automatic verification of "isa" relations is a basic problem in knowledge acquisition from text. We present an iterative method of "isa" relation verification based on some features. It initially acquires a set of "isa" relation features. Secondly these features are changed into a set of production rules. Then the candidate "isa" relations acquired from Chinese...
This paper discusses the problem of feature detection for semi-structured outdoor environments such as campuses and parks using laser range sensors. In these environments, commonly encountered natural features that can be very useful for mobile robot navigation include edges (large discontinuity) and circles (e.g., trees, pillars). The term feature is used to denote objects which are “likely” to be...
In this paper, two new algorithms for feature detection are presented. The first one can detect edge and circle features accurately using the Gaussian-Newton optimization method to fit the circle parameters. It consists of two parts: the first is the segmentation of data of each scan which is followed by parameter acquisition. The algorithm is off-line in nature as the segmentation and parameter acquisition...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.