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Active Vision for Scene Understanding (2022)

Grotz, Markus

KIT Scientific Publishing | KIT Scientific Publishing

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Publication Date: 2024-04-14

Description: 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.

Keywords: Roboter ; Humanoide Robotik ; robots ; Robots ; humanoid robots ; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists

Language: English

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