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Late Breaking Results on vS-Graphs: Integrating Visual SLAM and Situational Graphs for Multi-level Scene Understanding​
TOURANI, Ali; BAVLE, Hriday; EJAZ, Saad et al.
2024 • 2024 IEEE International Conference on Robotics and Automation (ICRA'24)
Editorial reviewed
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https://hdl.handle.net/10993/61136
 

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Keywords :
Robotics; Computer Vision; Visual SLAM; Simultaneous Localization and Mapping
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > ARG - Automation & Robotics
Disciplines :
Computer science
Author, co-author :
TOURANI, Ali  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
BAVLE, Hriday  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
EJAZ, Saad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
Morilla-Cabello, David;  UNIZAR - Universidad de Zaragoza [ES] > Instituto de Investigación en Ingeniería de Aragón (I3A)
SANCHEZ LOPEZ, Jose Luis  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
VOOS, Holger  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
External co-authors :
yes
Language :
English
Title :
Late Breaking Results on vS-Graphs: Integrating Visual SLAM and Situational Graphs for Multi-level Scene Understanding​
Publication date :
13 May 2024
Event name :
2024 IEEE International Conference on Robotics and Automation (ICRA'24)
Event organizer :
IEEE
Event place :
Yokohama, Japan
Event date :
May 13– 17, 2024
Audience :
International
Peer reviewed :
Editorial reviewed
Focus Area :
Computational Sciences
Development Goals :
9. Industry, innovation and infrastructure
Available on ORBilu :
since 13 May 2024

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