Active Vision for Scene Understanding
Abstract:
Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene.
| Zugehörige Institution(en) am KIT | Institut für Anthropomatik und Robotik (IAR) |
| Publikationstyp | Hochschulschrift |
| Publikationsjahr | 2021 |
| Sprache | Englisch |
| Identifikator | ISBN: 978-3-7315-1101-4 ISSN: 2512-0875 KITopen-ID: 1000132320 |
| Verlag | KIT Scientific Publishing |
| Umfang | XIV, 176 S. |
| Serie | Karlsruhe Series on Humanoid Robotics ; 7 |
| Art der Arbeit | Dissertation |
| Fakultät | Fakultät für Informatik (INFORMATIK) |
| Institut | Institut für Anthropomatik und Robotik (IAR) |
| Prüfungsdaten | 25.06.2020 |
| Prüfungsdatum | 25.06.2020 |
| Schlagwörter | Roboter, Humanoide Robotik, robots, humanoid robots |
| Relationen in KITopen | |
| Referent/Betreuer | Asfour, T. |