Results 241 to 250 of about 154,165 (294)
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Simultaneous localization and mapping with stereovision
IFAC Proceedings Volumes, 2004This paper presents a simultaneous localization and mapping approach based on an extended kalman filter, using only a set of non-registered stereovision image pairs. Invariant image point features are used to detect 3D landmarks and to provide local motion estimates. The 3D coordinates of each point feature are computed by stereovision, and an interest
Il-Kyun Jung, Simon Lacroix
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Simultaneous Localization and Mapping
2010In this chapter a SLAM framework for AUVs equipped with an MSIS operating in manmade structured environments is proposed. In the previous chapter, the use of techniques such as the Hough transform and the Kalman filter were studied in the context of a localization problem. Here, these techniques are further explored for their application in SLAM.
David Ribas, Pere Ridao, José Neira
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Simultaneous Global Localization and Mapping
IEEE/ASME Transactions on Mechatronics, 2014This paper proposes a hybrid approach to global localization and simultaneous localization and mapping (SLAM). Global localization and SLAM techniques have been independently developed but now researchers seek to simultaneously solve two problems regarding localization with an imperfect map and no a priori state information.
Hyukdoo Choi +2 more
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Simultaneous Localization and Map Building
1999Successful path planning and navigation of a mobile robot in an indoor environment requires the availability of both a sufficiently reliable estimation of the current vehicle location, and a sufficiently precise map of the navigation area. A priori model maps are rarely available and when they are, they usually introduce inaccuracies in the planning ...
José A. Castellanos, Juan D. Tardós
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Map Management for Efficient Simultaneous Localization and Mapping (SLAM)
Autonomous Robots, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dissanayake, Gamini +3 more
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Multiple robot simultaneous localization and mapping
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011In this research, a decentralized platform for SLAM with multiple robots has been developed. An EKF-based single-robot SLAM is extended to multiple-robot SLAM with a novel occupancy grid map fusion algorithm. Map fusion is achieved through a multi-step process that includes image preprocessing, segmentation, cross correlation, approximating the ...
Sajad Saeedi +3 more
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Hierarchical simultaneous localization and film mapping
Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453), 2004This paper presents a novel method of combining topological and feature-based mapping strategies to create a hierarchical approach to simultaneous localization and mapping (SLAM). More than simply running both processes in parallel, we use the topological mapping procedure to organize local feature-based methods. The result is an autonomous exploration
B. Lisien +5 more
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Simultaneous Localization and Mapping
2007Dieses 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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Simultaneous localization and mapping with TurtleBotII
2015 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI), 2015The paper introduces a solution of Simultaneous Localization and Mapping what use basic sensors of TurtleBotlI like integrated odometer and gyroscope in Kobuki robot base, as well as XBOX 360 Kinect RGBD data. We can define new position and orientation of robot using previous location and sensors' data with Extended Kalman Filter (EKF) in indoor ...
Bence Szendy +3 more
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Simultaneous Map Building and Localization
1992This chapter attempts to combine our earlier results to develop a unified framework for navigation. Unfortunately, combining the capabilities of localization and map building described earlier is not as straightforward as one might hope; a number of complicating research issues enter the picture, which will be described below.
John J. Leonard, Hugh F. Durrant-Whyte
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