Active Vision for Scene Understanding
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 i...
Saved in:
Main Author: | Grotz, Markus (auth) |
---|---|
Format: | Electronic Book Chapter |
Language: | English |
Published: |
Karlsruhe
KIT Scientific Publishing
2021
|
Series: | Karlsruhe Series on Humanoid Robotics
7 |
Subjects: | |
Online Access: | OAPEN Library: download the publication OAPEN Library: description of the publication |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Active Vision for Scene Understanding
by: Grotz, Markus
Published: (2021) -
Whole-Body Affordances for Humanoid Robots: A Computational Approach
by: Kaiser, Peter
Published: (2018) -
Organisation, Repräsentation und Analyse menschlicher Ganzkörperbewegung für die datengetriebene Bewegungsgenerierung bei humanoiden Robotern
by: Mandery, Christian
Published: (2017) -
Learning and Execution of Object Manipulation Tasks on Humanoid Robots
by: Wächter, Mirko
Published: (2018) -
Human-Inspired Balancing and Recovery Stepping for Humanoid Robots
by: Kaul, Lukas Sebastian
Published: (2019)