Occupancy grid mapping with the use of a forward sonar model by gradient descent

Mapping of the environment is one of the key functions of autonomous robots. An efficient mapping algorithm is needed for successful localization and path finding. Maps may be plotted on the basis of the data from various sensors. Cheap and easy-to-install sonars are typically used for this purpose....

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Published inJournal of communications technology & electronics Vol. 61; no. 12; pp. 1474 - 1480
Main Authors Shvets, E. A., Shepelev, D. A., Nikolaev, D. P.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.12.2016
Springer
Springer Nature B.V
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Abstract Mapping of the environment is one of the key functions of autonomous robots. An efficient mapping algorithm is needed for successful localization and path finding. Maps may be plotted on the basis of the data from various sensors. Cheap and easy-to-install sonars are typically used for this purpose. A sonar-based mapping algorithm based on continuous optimization methods is proposed. This algorithm may be used in real time, and its main advantages over the common methods are more accurate determination of the size of small (smaller than the sonar beam width or comparable to it) obstacles and more reliable detection of narrow passages (e.g., doorways).
AbstractList Mapping of the environment is one of the key functions of autonomous robots. An efficient mapping algorithm is needed for successful localization and path finding. Maps may be plotted on the basis of the data from various sensors. Cheap and easy-to-install sonars are typically used for this purpose. A sonar-based mapping algorithm based on continuous optimization methods is proposed. This algorithm may be used in real time, and its main advantages over the common methods are more accurate determination of the size of small (smaller than the sonar beam width or comparable to it) obstacles and more reliable detection of narrow passages (e.g., doorways).
Mapping of the environment is one of the key functions of autonomous robots. An efficient mapping algorithm is needed for successful localization and path finding. Maps may be plotted on the basis of the data from various sensors. Cheap and easy-to-install sonars are typically used for this purpose. A sonar-based mapping algorithm based on continuous optimization methods is proposed. This algorithm may be used in real time, and its main advantages over the common methods are more accurate determination of the size of small (smaller than the sonar beam width or comparable to it) obstacles and more reliable detection of narrow passages (e.g., doorways). Keywords: sonar-based mapping, occupancy maps, forward sonar model, continuous optimization DOI: 10.1134/S106422691612024X
Audience Academic
Author Nikolaev, D. P.
Shvets, E. A.
Shepelev, D. A.
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Cites_doi 10.1109/2.30720
10.1023/A:1008806422571
10.1177/027836499201100402
10.1023/A:1025584807625
10.1177/027836402320556340
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SubjectTerms Algorithms
Analysis
Communications Engineering
Electronics
Engineering
Estimates
Localization
Mapping
Methods
Methods of Occupancy Grid Mapping
Networks
Occupancy
Optimization
Probability distribution
Reading
Real time
Robots
Sensors
Sonar
Studies
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Title Occupancy grid mapping with the use of a forward sonar model by gradient descent
URI https://link.springer.com/article/10.1134/S106422691612024X
https://www.proquest.com/docview/1854570202
https://search.proquest.com/docview/1880030446
Volume 61
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