Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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| Original language | English |
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| Title of host publication | Proceedings of the 4th UK-RAS Conference: Robotics at Home (#UKRAS21) |
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| Publication status | Accepted/In press - 21 May 2021 |
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| Event | The 4th UK-RAS Conference for PhD Students & Early-Career Researchers on 'Robotics at Home' - Online, Hatfield, United Kingdom
Duration: 2 Jun 2021 → 2 Jun 2021
Conference number: 4
https://www.ukras.org/news-and-events/uk-ras/ |
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| Conference | The 4th UK-RAS Conference for PhD Students & Early-Career Researchers on 'Robotics at Home' |
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| Abbreviated title | #UKRAS21 |
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| Country | United Kingdom |
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| City | Hatfield |
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| Period | 2/06/21 → 2/06/21 |
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| Internet address | |
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Abstract
Mapping is a fundamental requirement for robot navigation.
In this paper, we introduce a novel visual mapping method that relies solely on a single omnidirectional camera.
We present a metric that allows us to generate a map from the input image by using a visual Sonar approach.
The combination of the visual sonars with the robot's odometry enables us to determine a relation equation and subsequently generate a map that is suitable for robot navigation.
Results based on visual map comparison indicate that our approach is comparable with the established solutions based on RGB-D cameras or laser-based sensors. We now embark on evaluating our accuracy against the established methods.
Notes
© 2021 EPSRC UK-Robotics and Autonomous Systems (UK-RAS) Network
ID: 25171472