Zobrazeno 1 - 10
of 1 976
pro vyhledávání: '"Monte Carlo localization"'
Autor:
Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, Katsuyoshi Maeyama, Lotfi El Hafi, Tadahiro Taniguchi, Hiroshi Yamakawa
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
It remains difficult for mobile robots to continue accurate self-localization when they are suddenly teleported to a location that is different from their beliefs during navigation. Incorporating insights from neuroscience into developing a spatial c
Externí odkaz:
https://doaj.org/article/2ea59904489a4f038ee08423bbe0fb63
Autor:
Hongda Zhu, Qiang Luo
Publikováno v:
IEEE Access, Vol 12, Pp 67199-67208 (2024)
The complexity of the environment limits the accuracy of the traditional Adaptive Monte Carlo Localization(AMCL) algorithm, which also suffers from high computational effort and particle degradation due to laser model limitations. To address these is
Externí odkaz:
https://doaj.org/article/8512c5b5c7134a1bb29c8257c05d7d3d
Akademický článek
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Autor:
Mark Griguletskii, Oleg Shipitko, Maxim Abramov, Egor Pristanskiy, Vladislav Kibalov, Anton Grigoryev
Publikováno v:
IEEE Access, Vol 11, Pp 19093-19102 (2023)
A robot localization problem demands a fair comparison of the positioning algorithms. A reference trajectory of the robot’s movement is needed to estimate errors and evaluate a quality of the localization. In this article, we propose the Prior Dist
Externí odkaz:
https://doaj.org/article/3ae9dc317a9a443c96974c93333ab805
Akademický článek
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Publikováno v:
Die Bodenkultur, Vol 72, Iss 3, Pp 133-139 (2022)
Precise localization and reliable navigation are of crucial importance in order to fully automatize tasks in agriculture using field robots in an outdoor environment. However, under certain conditions, absolute localization accuracy of outdoor positi
Externí odkaz:
https://doaj.org/article/31346ee371194d19b8f2d09ea9399c6b
Autor:
Wenjian Ying, Shiyan Sun
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 1, Pp 20-30 (2022)
Abstract This paper details a solution of fusing combination features, Iterative Closest Point (ICP) and Monte Carlo algorithm, in order to solve the problem that mobile robot positioning is easy to fail in a dynamic environment. Firstly, an ICP algo
Externí odkaz:
https://doaj.org/article/882817eb7eb44c3c967e512c81638dad
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11913 (2023)
SLAM (simultaneous localization and mapping) technology incorporating QR code navigation has been widely used in the mobile robotics industry. However, the particle kidnapping problem, positioning accuracy, and navigation time are still urgent issues
Externí odkaz:
https://doaj.org/article/3cfd4cebee83401e8c4865e7621fe506
Autor:
Arne Bochem, Hang Zhang
Publikováno v:
IEEE Access, Vol 10, Pp 33408-33420 (2022)
With distributed sensor systems commonly found in Wireless Sensor Networks or the Internet of Things, knowing the location sensor data was acquired from is very important, especially in scenarios with mobile sensors. Range-free Monte Carlo Localizati
Externí odkaz:
https://doaj.org/article/78d1c60e22974c48b7208e712e13a37f
Autor:
Hsiu-Ming Wu, Muhammad Qomaruz Zaman
Publikováno v:
IEEE Access, Vol 10, Pp 33713-33722 (2022)
This study aims to achieve the trajectory-tracking of an autonomous differential drive mobile robot (ADDMR) in the presence of friction torques using the proposed Fuzzy Sliding-Mode Control (FSMC). First, the complete model of the ADDMR is establishe
Externí odkaz:
https://doaj.org/article/8839a51728644f339501c015ac87c542