Results 21 to 30 of about 34,843 (165)
International Journal of Advanced Robotic Systems, 2016 Simultaneous localization and mapping is a crucial problem for mobile robots, which estimates the surrounding environment (the map) and, at the same time, computes the robot location in it.
Hong Liu, Zhi Wang, Pengjin Chen
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Trudy Odesskogo Politehničeskogo Universiteta, 2017 The possibility of returning an unmanned aerial vehicle in case of electromagnetic interference, which blocks the use of the global positioning system and radio control system, is considered.
Antoshchuk S. G. +2 more
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Invariant filtering for simultaneous localization and mapping [PDF]
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2002 This paper presents an algorithm for simultaneous localization and map building for a mobile robot moving in an unknown environment. The robot can measure only the bearings to identifiable targets and its own relative motion. The approach is to recursively estimate features of the environment which are invariant to the robot pose in order to decouple ...
Deans, Matthew C., Hebert, Martial
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Simultaneous Localization and Mapping – Gasteditorial [PDF]
KI - Künstliche Intelligenz, 2010 Simultaneous Localization and Mapping ist ein Problem mit einem sperrigen Namen – aber einer griffigen Abkurzung: SLAM, wie in Grand Slam, Slam Dunk und Poetry Slam. Also ein Problem, das die Herausforderung schon in der Bezeichnung mit sich fuhrt. In der Tat, es geht um nichts weniger, als dass ein Roboter sich in einer Umgebung bewegt und dabei ein ...
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Simultaneous Localization and Map Building
, 2006 Perception happens locally, in the egocentric frame of reference of the robot. In order to ensure correspondence between the local representation of the environment built by the landmark extraction processes, and the global representation contained in a map, the robot must estimate its own position with respect to this map.
Andrade-Cetto, Juan, Sanfeliu, Alberto
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Active Mapping and Robot Exploration: A Survey
Sensors, 2021 Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors.
Iker Lluvia +2 more
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Cloud-based map alignment strategies for multi-robot FastSLAM 2.0
International Journal of Distributed Sensor Networks, 2019 The cooperative simultaneous localization and mapping problem has acquired growing attention over the years. Even though mapping of very large environments is theoretically quicker than a single robot simultaneous localization and mapping, it has several
Shimaa S Ali +2 more
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EF-Razor: An Effective Edge-Feature Processing Method in Visual SLAM
IEEE Access, 2020 Feature-based visual simultaneous localization and mapping (SLAM) is an effective localization approach for robots in unknown environments. Classic handcrafted features perform well in 2D image matching tasks.
Wen Liu +3 more
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Sensors, 2020 Indoor location estimation is crucial to provide context-based assistance in home environments. In this study, a method for simultaneous indoor pedestrian localization and house mapping is proposed and evaluated. The method fuses a person’s movement data
Jesus D. Ceron +4 more
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International Journal of Advanced Robotic Systems, 2018 In this article, we propose a distributed and collaborative monocular simultaneous localization and mapping system for the multi-robot system in large-scale environments, where monocular vision is the only exteroceptive sensor.
Hui Zhang +3 more
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