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.
In this paper we compare two methods to carry out topological mapping using only visual information captured by a robot. This map should contain enough information so that the robot can estimate its position and orientation and redundant information should be removed to get an acceptable computational cost during the localization process. Apart from this, it is also important to know the topology...
The use of wireless network signal strength proposed to estimate the relative position between vehicles in a robot formation set. We propose a relative leader-follower model which allows us to use the reception signal strength as control variable for robot stabilization in the formation. Vehicle sensors consist of wheel speed and steering angle, the WiFi data consist of reception signal strength (RSS)...
The appearance-based approach in visual robot navigation supposes several advantages, such as its application to non-structured environments and the relatively simple extraction of control laws that it offers. However, the main drawback is the requirement of extensive memories and the high computational cost. This way, the nature and the quantity of information to store about the environment is very...
This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and applies a rejection technique to concentrate on a reduced set of distinguishable, stable features. We track detected SIFT features over consecutive frames obtained by a stereo camera and select only those features that appear to...
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.