Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Leon Ziegler"'
Publikováno v:
CRV
Service robots share the living space of humans. Thus, they should have a similar concept of the environment without having everything labeled beforehand. The detection of closed doors is challenging because they appear with different materials, desi
For the development of multi-purpose robots that can operate in a wide range of different situations we will need sophisticated behavioral building blocks to compose the desired performances. In this paper we argue for a behavior modeling framework w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d65199c70667e1a90555b470e1cba682
https://pub.uni-bielefeld.de/record/2550320
https://pub.uni-bielefeld.de/record/2550320
Publikováno v:
3DV
The recognition of object categories in 3D scenes is still a challenging problem in computer vision. Many state of the art approaches use Implicit Shape Models, as addressed in [8] and [14], to learn shapes of object categories and a probabilistic Ho
Publikováno v:
Spatial Information Theory ISBN: 9783319017891
COSIT
COSIT
Automatic generation of adequate spatial relations with regard to reference object selection is a nontrivial problem. In the present paper, we develop, implement and evaluate a computational model for reference object selection using empirically deri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b900c12750ee08db3046c797603a5a0
https://doi.org/10.1007/978-3-319-01790-7_20
https://doi.org/10.1007/978-3-319-01790-7_20
Publikováno v:
PUB-Publications at Bielefeld University
The Team of Bielefeld (ToBI) has been founded in 2009. The RoboCup activities are embedded in a long-term research history towards human-robot interaction with laypersons in regular home environments. The RoboCup@Home competition is an important benc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d439e37285c9fd0d377a98d46679cbcf
https://pub.uni-bielefeld.de/record/2562205
https://pub.uni-bielefeld.de/record/2562205
The reliable automatic visual recognition of indoor scenes with complex object constellations using only sensor data is a nontrivial problem. In order to improve the construction of an accurate semantic 3D model of an indoor scene, we exploit human-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9d3e62d05192e277cc14d5035e6728f
https://doi.org/10.1007/s10339-012-0460-1
https://doi.org/10.1007/s10339-012-0460-1