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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.
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Grotz, M. 2021. Active Vision for Scene Understanding. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000132320
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Veröffentlicht am 21. Dezember 2021
Englisch
204
| Paperback | 978-3-7315-1101-4 |