A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors
Joint Authors
Reinoso García, Oscar
Gil Aparicio, Arturo
Payá Castelló, Luis
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-24
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Nowadays, the field of mobile robotics is experiencing a quick evolution, and a variety of autonomous vehicles is available to solve different tasks.
The advances in computer vision have led to a substantial increase in the use of cameras as the main sensors in mobile robots.
They can be used as the only source of information or in combination with other sensors such as odometry or laser.
Among vision systems, omnidirectional sensors stand out due to the richness of the information they provide the robot with, and an increasing number of works about them have been published over the last few years, leading to a wide variety of frameworks.
In this review, some of the most important works are analysed.
One of the key problems the scientific community is addressing currently is the improvement of the autonomy of mobile robots.
To this end, building robust models of the environment and solving the localization and navigation problems are three important abilities that any mobile robot must have.
Taking it into account, the review concentrates on these problems; how researchers have addressed them by means of omnidirectional vision; the main frameworks they have proposed; and how they have evolved in recent years.
American Psychological Association (APA)
Payá Castelló, Luis& Gil Aparicio, Arturo& Reinoso García, Oscar. 2017. A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors. Journal of Sensors،Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1186876
Modern Language Association (MLA)
Payá Castelló, Luis…[et al.]. A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors. Journal of Sensors No. 2017 (2017), pp.1-20.
https://search.emarefa.net/detail/BIM-1186876
American Medical Association (AMA)
Payá Castelló, Luis& Gil Aparicio, Arturo& Reinoso García, Oscar. A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-20.
https://search.emarefa.net/detail/BIM-1186876
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186876