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.
Recently, the inverse depth parameterization has been widely used in monocular simultaneous localization and mapping (SLAM) within the standard extended Kalman filter (EKF) framework. However, the feature depth is not able to be estimated at one observation. In fact, the feature depth and its standard deviation are initialized empirically, which may affect the convergence of the standard EKF. In order...
Loop-closing detection is one of the most challenging issues in the monocular Simultaneous Location and Mapping (SLAM). Reliable data association is crucial to this issue as spurious matches could prove to be fatal. In this paper, a new approach is proposed to provide a robust data association for the monocular loop-closing detection. The proposed approach is characterized by a combination of the...
A modified covariance extended Kalman filter (MVEKF) algorithm is proposed to the monocular simultaneous localization and mapping (SLAM) in this paper. Recent literatures have shown that it is possible to solve the monocular SLAM using the Extended Kalman Filter (EKF) and the inverse-depth parameterization. However, the EKF algorithm has its intrinsic disadvantage such as the divergence. Here we propose...
The aims of the simultaneous localization and mapping (SLAM) in a real-world environment is to obtain faster processing speed, more precise predictable results, and better system approximation and consistency. This paper proposes a combination of the Gaussian mixture model (GMM) with particle filter (PF) and unscented Kalman filter (UKF) for the robot SLAM. Also, the PF Markov chain Monte Carlo (MCMC)...
A novel adaptive intra refresh method for the wireless video communication is proposed, which considers the characteristic of the human visual system and the state information of the time-varying wireless channel jointly. An attention model is used to compute the perceptual weight map of the video content. The dynamic feedback channel state information (CSI) of the wireless channel, such as bit error...
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.