Results 271 to 280 of about 44,341 (303)

Simultaneous localization and mapping with infinite planes

2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
Simultaneous localization and mapping with infinite planes is attractive because of the reduced complexity with respect to both sparse point-based and dense volumetric methods. We show how to include infinite planes into a least-squares formulation for mapping, using a homogeneous plane parametrization with a corresponding minimal representation for ...
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Simultaneous Localization and Mapping

2007
Dieses Kapitel gibt eine Einfuhrung in die Kartenerstellung und gleichzeitige Lokalisierung mobiler Sensorplattformen. Die gemeinsame Losung dieser beiden Probleme ist eine Voraussetzung fur die Realisierung vieler technischer Systeme von leichten Fluggeraten uber autonome Roboter bis hin zu mobilen Kameras.
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Review on simultaneous localization and mapping (SLAM)

2015 IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2015
Simultaneous localization and mapping (SLAM) is a technique applied in artificial intelligence mobile robot for a self-exploration in numerous geographical environment. SLAM becomes fundamental research area in recent days as it promising solution in solving most of problems which related to the self-exploratory oriented artificial intelligence mobile ...
Alif Ridzuan Khairuddin, Mohamad Shukor Talib, Habibollah Haron   +2 more
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Relative-Absolute Map Filter for Simultaneous Localization and Mapping

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
In this paper, a new algorithm, Relative-Absolute Map Filter (RAMF), is proposed to solve the simultaneous localization and mapping problem. Compared with FastSLAM, which adopts many absolute maps to describe the relationship between features, RAMF utilizes only one relative map instead.
Shu Yun Chung, Han-Pang Huang
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Combinatorial maps for simultaneous localization and map building (SLAM)

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), 2005
In this article, we focus on environment models for the well-known simultaneous localisation and map building (SLAM) problem, which has received considerable attention in the robotics community over the past few years. First, we compare different existing map representations to discuss their advantages and limitations in the scope of indoor robotics ...
Delphine Dufourd, Raja Chatila 0001, Dominique Luzeaux   +2 more
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Local map fusion for real-time indoor simultaneous localization and mapping

Journal of Field Robotics, 2006
Summary: Among the solutions to the simultaneous localization and mapping (SLAM) problem with probabilistic techniques, the extended Kalman filter (EKF) is a very common approach. There are several approaches to deal with its computational cost, usually based on an adequate selection of features to be updated in real time, while the whole map update is
Diego Rodríguez-Losada, Fernando Matía, Agustín Jiménez, Ramón Galán   +3 more
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Bistatic simultaneous transmitter localization and mapping

2015 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2015
In a bistatic scenario, we consider the task of simultaneously estimating the positions of a non-cooperative transmitter and landmarks that reflect the transmitted signal, generating bistatic measurements at the receiver. Neither the position of the transmitter, nor the timing of transmissions are known to the receiver.
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Simultaneous Localization and Map Building

2006
Juan Andrade-Cetto, Alberto Sanfeliu
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Multi-camera simultaneous localization and mapping

2010
In this thesis, we study two aspects of simultaneous localization and mapping (SLAM) for multi-camera systems: minimal solution methods for the scaled motion of non-overlapping and partially overlapping two camera systems and enabling online, real-time mapping of large areas using the parallelism inherent in the visual simultaneous localization and ...
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Edge-SLAM: Edge-Assisted Visual Simultaneous Localization and Mapping

Transactions on Embedded Computing Systems, 2023
Ali J Ben Ali, Marziye Kouroshli, Sofiya Semenova   +2 more
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