Results 11 to 20 of about 154,165 (294)
BatSLAM: Simultaneous localization and mapping using biomimetic sonar. [PDF]
PLoS ONE, 2013 We propose to combine a biomimetic navigation model which solves a simultaneous localization and mapping task with a biomimetic sonar mounted on a mobile robot to address two related questions.
Jan Steckel, Herbert Peremans
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Simultaneous calibration, localization, and mapping [PDF]
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011 The calibration parameters of a mobile robot play a substantial role in navigation tasks. Often these parameters are subject to variations that depend either on environmental changes or on the wear of the devices. In this paper, we propose an approach to simultaneously estimate a map of the environment, the position of the on-board sensors of the robot,
Rainer Kummerle +2 more
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Simultaneous localization, mapping and deblurring [PDF]
2011 International Conference on Computer Vision, 2011 Handling motion blur is one of important issues in visual SLAM. For a fast-moving camera, motion blur is an unavoidable effect and it can degrade the results of localization and reconstruction severely. In this paper, we present a unified algorithm to handle motion blur for visual SLAM, including the blur-robust data association method and the fast ...
Hee Seok Lee +2 more
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RadarSLAM: Radar based Large-Scale SLAM in All Weathers
, 2020 Numerous Simultaneous Localization and Mapping (SLAM) algorithms have been presented in last decade using different sensor modalities. However, robust SLAM in extreme weather conditions is still an open research problem.
Hong, Ziyang, Petillot, Yvan, Wang, Sen
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Sensors, 2022 Hexagonal grids have many advantages over square grids and could be successfully used in mobile robotics as a map representation. However, there is a lack of an essential algorithm, namely, SLAM (simultaneous localization and mapping), that would ...
Piotr Duszak
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Implicit sampling for path integral control, Monte Carlo localization, and SLAM [PDF]
, 2014 The applicability and usefulness of implicit sampling in stochastic optimal control, stochastic localization, and simultaneous localization and mapping (SLAM), is explored; implicit sampling is a recently-developed variationally-enhanced sampling method.
Morzfeld, Matthias
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Cooperative simultaneous localization and mapping algorithm based on distributed particle filter
International Journal of Advanced Robotic Systems, 2019 In this article, cooperative simultaneous localization and mapping algorithm based on distributed particle filter is proposed for multi-robot cooperative simultaneous localization and mapping system.
Shuhuan Wen +3 more
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The Simultaneous Localization and Mapping (SLAM)-An Overview
Journal of Applied Science and Technology Trends, 2021 Positioning is a need for many applications related to mapping and navigation either in civilian or military domains. The significant developments in satellite-based techniques, sensors, telecommunications, computer hardware and software, image processing, etc.
Bashar Alsadik, Samer Karam
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Simultaneous localization, mapping, and path planning for unmanned vehicle using optimal control
Advances in Mechanical Engineering, 2018 Among the huge number of functionalities that are required for autonomous navigation, the most important are localization, mapping, and path planning.
Demim Fethi +3 more
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Interest point detectors for visual SLAM [PDF]
, 2007 In this paper we present several interest points detectors and we analyze their suitability when used as landmark extractors for vision-based simultaneous localization and mapping (vSLAM).
Ballesta, Monica +3 more
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