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Collaborative localization for autonomous robots in structured environments

Author
Guerra, E.; Munguia, R.F.; Bolea, Y.; Grau, A.
Type of activity
Presentation of work at congresses
Name of edition
14th IEEE International Conference on Industrial Informatics
Date of publication
2016
Presentation's date
2016-07-21
Book of congress proceedings
2016 IEEE 14th International Conference on Industrial Informatics (INDIN): Palais des Congrès du Futuroscope, Futuroscope-Poitiers, France 19-21 July, 2016: proceedings
First page
219
Last page
224
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/INDIN.2016.7819162 Open in new window
Repository
http://hdl.handle.net/2117/103192 Open in new window
URL
http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/document/7819162/ Open in new window
Abstract
A complete approach to the visual localization and mapping problem (SLAM) is presented in this work. The presented approach exploits the enhanced capabilities of a system where a human and a robot collaborate in surveying/exploratory tasks. The human is supposed to wear a smart headwear device, which deploys a inertial measurement unit and a camera, Hv. This camera acts as a secondary sensor, and provides data to the robotic Rv camera performing mapping tasks. The data from the human-worn camera...
Citation
Guerra, E., Munguia, R.F., Bolea, Y., Grau, A. Collaborative localization for autonomous robots in structured environments. A: IEEE International Conference on Industrial Informatics. "2016 IEEE 14th International Conference on Industrial Informatics (INDIN): Palais des Congrès du Futuroscope, Futuroscope-Poitiers, France 19-21 July, 2016: proceedings". Poitiers: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 219-224.
Group of research
VIS - Artificial Vision and Intelligent Systems

Participants