Suchergebnisse - "Simultaneous localization and mapping"

Simultaneous localization and mapping using swarm intelligence based methods von Nedjah, Nadia, Macedo Mourelle, Luiza, Albuquerque de Oliveira, Pedro Jorge

“… The problem known as simultaneous localization and mapping is of fundamental importance both in its own right and because of its potential applications in the development of autonomous robots …”
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FootSLAM: Pedestrian Simultaneous Localization and Mapping Without Exteroceptive Sensors-Hitchhiking on Human Perception and Cognition von Angermann, Michael, Robertson, Patrick

“… In this paper, we describe FootSLAM, a Bayesian estimation approach that achieves simultaneous localization and mapping for pedestrians …”
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Monocular Visual Simultaneous Localization and Mapping: (R)Evolution From Geometry to Deep Learning-Based Pipelines von Alvarez-Tunon, Olaya, Brodskiy, Yury, Kayacan, Erdal

“… With the rise of deep learning, there is a fundamental change in visual simultaneous localization and mapping (SLAM …”
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Simultaneous Localization and Mapping for Path-Constrained Motion von Hasberg, C., Hensel, S., Stiller, C.

“… Vehicle kinematics is modeled in 1-D curve coordinates. Since map information is subject to uncertainties, a probabilistic treatment is a prerequisite to obtaining consistent localization results …”
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The role of the RFID polarization mismatch in the Simultaneous Localization and Mapping problem von Giampaolo, Emidio Di, Martinelli, Francesco, Romanelli, Fabrizio

“… In this paper we investigate the effects of this dependence on the Simultaneous Localization and Mapping (SLAM …”
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METHOD OF SIMULTANEOUS LOCALIZATION AND MAPPING FOR CONSTRUCTION OF 2.5D MAPS OF THE ENVIRONMENT USING ROS von Nevlyudov, Igor, Novoselov, Sergiy, Sukhachov, Konstantin

“… The subject of this study is modern methods of real-time simultaneous localization and mapping …”
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Simultaneous Localization and Mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments von Robertson, Patrick, Frassl, Martin, Angermann, Michael, Doniec, Marek, Julian, Brian J., Garcia Puyol, Maria, Khider, Mohammed, Lichtenstern, Michael, Bruno, Luigi

“… We present a Simultaneous Localization and Mapping (SLAM) algorithm based on measurements of the ambient magnetic field strength (MagSLAM …”
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Recovering Stable Scale in Monocular SLAM Using Object-Supplemented Bundle Adjustment von Frost, Duncan, Prisacariu, Victor, Murray, David

“… Without knowledge of the absolute baseline between images, the scale of a map from a single-camera simultaneous localization and mapping system is subject to calamitous drift over time …”
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Semantic Simultaneous Localization and Mapping von Bowman, Sean L

“… Traditional approaches to simultaneous localization and mapping (SLAM) rely on low-level geometric features such as points, lines, and planes …”
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Research of visual simultaneous localization and mapping-based navigation system for mobile robots von Othman, W., Gromov, V.S.

“… Subject of Research. The paper considers navigation system for mobile robots by building a map of the environment using Simultaneous Localization and Mapping algorithm and converting the 3D map collected by INTEL …”
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Performance evaluation of ROS-based SLAM algorithms for handheld indoor mapping and tracking systems von Nguyen, Quang Huy, Johnson, Princy, Latham, David

“… Simultaneous Localization and Mapping is an important field of work not only in robotics, but also in mobile platforms …”
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Multisensor Fusion-Based Concurrent Environment Mapping and Moving Object Detection for Intelligent Service Robotics von Luo, Ren C., Chun Chi Lai

“… With the diverse and complex service needs, the perception and navigation are essential subjects …”
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Visual SLAM based on mask-fusion and motion consistency verification von Li, Yanfan, Song, Meng

“… Simultaneously Localization and Mapping (SLAM) is the process of a subject equipped with a specific sensor moving in an unknown environment, obtaining …”
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Intelligent Reflecting Surface Enhanced Indoor Robot Path Planning: A Radio Map-Based Approach von Mu, Xidong, Liu, Yuanwei, Guo, Li, Lin, Jiaru, Schober, Robert

“… Integrating robots into cellular networks creating connected robotic users has emerged as a promising technology for future smart cities and smart factories …”
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Computationally-Efficient Visual-Inertial Simultaneous Localization and Mapping for Spaceflight Navigation von Givens, Matthew W

“… This thesis represents an investigation into the application to spaceflight of the estimation techniques developed to solve the well-known robotics problem of Simultaneous Localization and Mapping (SLAM …”
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MOFISSLAM: A Multi-Object Semantic SLAM System With Front-View, Inertial, and Surround-View Sensors for Indoor Parking von Shao, Xuan, Zhang, Lin, Zhang, Tianjun, Shen, Ying, Zhou, Yicong

“… The semantic SLAM (Simultaneous Localization And Mapping) system is a crucial module for autonomous indoor parking. Visual cameras (monocular/binocular) and IMU …”
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Deep Learning Techniques for Visual SLAM : a Survey von Mokssit, Saad, Licea, Daniel Bonilla, Guermah, Bassma, Ghogho, Mounir

“… Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years …”
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Optimized Self-Localization for SLAM in Dynamic Scenes Using Probability Hypothesis Density Filters von Evers, Christine, Naylor, Patrick A.

“… However, in practice, observer reports are subject to positioning errors. Simultaneous localization and mapping addresses the joint estimation problem of observer localization and scene mapping …”
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Probabilistic data association for semantic SLAM von Bowman, Sean L., Atanasov, Nikolay, Daniilidis, Kostas, Pappas, George J.

“… Traditional approaches to simultaneous localization and mapping (SLAM) rely on low-level geometric features such as points, lines, and planes …”
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High Accuracy and Low Complexity LiDAR Place Recognition using Unitary Invariant Frobenius Norm von Wang, Wuqi, Min, Haigen, Wu, Xia, Hou, Xinmeng, Li, Yao, Zhao, Xiangmo

“… Simultaneous Localization and Mapping (SLAM) is used in solving the problems of localization, navigation, and map construction for autonomous vehicles moving in unknown environments …”
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