Zobrazeno 1 - 10
of 124
pro vyhledávání: '"Fritsch, Jannik"'
Publikováno v:
In Computer Vision and Image Understanding 2010 114(5):548-563
Autor:
Michalke, Thomas, Kastner, Robert, Adamy, Jürgen, Bone, Sven, Waibel, Falko, Kleinehagenbrock, Marcus, Gayko, Jens, Gepperth, Alexander, Fritsch, Jannik, Goerick, Christian
Research on computer vision systems for driver assistance resulted in a variety of isolated approaches mainly performing very specialized tasks like, e. g., lane keeping or traffic sign detection. However, for a full understanding of generic traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::909af7ba814514d5db2ca26b345fd07d
Autor:
Rohlfing, Katharina J.1 kjr@uni-bielefeld.de, Fritsch, Jannik1, Wrede, Britta1, Jungmann, Tanja2
Publikováno v:
Advanced Robotics. 2006, Vol. 20 Issue 10, p1183-1199. 17p. 6 Black and White Photographs, 4 Graphs.
Autor:
Vollmer, Anna-Lisa, Mühlig, Manuel, Steil, Jochen J., Pitsch, Karola, Fritsch, Jannik, Rohlfing, Katharina, Wrede, Britta
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e91349 (2014)
PLoS ONE
PLoS ONE
Robot learning by imitation requires the detection of a tutor's action demonstration and its relevant parts. Current approaches implicitly assume a unidirectional transfer of knowledge from tutor to learner. The presented work challenges this predomi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::783570740204fb218e9bf08772cd3ac6
Publikováno v:
ITSC
In order to support driver assistance systems in unconstrained environments, we propose to extend local appearance-based road classification with a spatial feature generation and classification. Therefore, a hierarchical approach consisting of multip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f107f64bee554f32d6b65e0b103fcbd
https://doi.org/10.1109/itsc.2012.6338740
https://doi.org/10.1109/itsc.2012.6338740
Autor:
Lohan, Katrin Solveig, Vollmer, Anna-Lisa, Fritsch, Jannik, Rohlfing, Katharina, Wrede, Britta, ARRAY(0xa24dbb8)
Publikováno v:
ACII
In developmental research, tutoring behavior has been identified as scaffolding infants' learning processes. Infants seem sensitive to tutoring situations and they detect these by ostensive cues [4]. Some social signals such as eye-gaze, child-direct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52c9e81595f8ea7532a8a21bd6840c56
https://doi.org/10.1109/acii.2009.5349507
https://doi.org/10.1109/acii.2009.5349507
Autor:
Pitsch, Karola, Vollmer, Anna-Lisa, Fritsch, Jannik, Wrede, Britta, Rohlfing, Katharina, Sagerer, Gerhard
Publikováno v:
PUB-Publications at Bielefeld University
Learning is a social endeavor, in which the learner generally receives support from his/her social partner(s). In developmental research – even though tutors/adults behavior modifications in their speech, gestures and motions have been extensively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ef179f96965e54b3f3a5f1e38d724ea9
https://pub.uni-bielefeld.de/record/1991995
https://pub.uni-bielefeld.de/record/1991995
Autor:
Michalke, Thomas, Gepperth, Alexander, Schneider, Martin, Fritsch, Jannik, Goerick, Christian
Publikováno v:
International Conference on Computer Vision Systems : Proceedings (2007)
Research on computer vision systems for driver assistance resulted in a variety of approaches mainly performing reactive tasks like, e.g., lane keeping. However, for a full understanding of generic traffic situations, integrated and more flexible app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e1dee2f398c4f3f7bd4b77d7d938b7a
Publikováno v:
Vision Systems: Segmentation and Pattern Recognition
The recognition of manipulative actions and tasks is an essential component for the natural, pro-active, and non-intrusive interaction between humans and robots. However, most techniques for the recognition of symbolic, interactional or referential g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88e4948746a19bc94ac0aea82f14f3f8
https://doi.org/10.5772/4958
https://doi.org/10.5772/4958