Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Suchan, Jakob"'
Autor:
Suchan, Jakob, Osterloh, Jan-Patrick
Publikováno v:
EPTCS 385, 2023, pp. 300-313
Semi-autonomous driving, as it is already available today and will eventually become even more accessible, implies the need for driver and automation system to reliably work together in order to ensure safe driving. A particular challenge in this end
Externí odkaz:
http://arxiv.org/abs/2308.15895
We demonstrate the need and potential of systematically integrated vision and semantics solutions for visual sensemaking in the backdrop of autonomous driving. A general neurosymbolic method for online visual sensemaking using answer set programming
Externí odkaz:
http://arxiv.org/abs/2012.14359
We develop a human-centred, cognitive model of visuospatial complexity in everyday, naturalistic driving conditions. With a focus on visual perception, the model incorporates quantitative, structural, and dynamic attributes identifiable in the chosen
Externí odkaz:
http://arxiv.org/abs/2006.00059
We demonstrate the need and potential of systematically integrated vision and semantics} solutions for visual sensemaking (in the backdrop of autonomous driving). A general method for online visual sensemaking using answer set programming is systemat
Externí odkaz:
http://arxiv.org/abs/1906.00107
Publikováno v:
Advances in Cognitive Systems. (http://www.cogsys.org/journal), 2018
We present a computational model for the semantic interpretation of symmetry in naturalistic scenes. Key features include a human-centred representation, and a declarative, explainable interpretation model supporting deep semantic question-answering
Externí odkaz:
http://arxiv.org/abs/1806.07376
We present ASP Modulo `Space-Time', a declarative representational and computational framework to perform commonsense reasoning about regions with both spatial and temporal components. Supported are capabilities for mixed qualitative-quantitative rea
Externí odkaz:
http://arxiv.org/abs/1805.06861
We propose a hybrid architecture for systematically computing robust visual explanation(s) encompassing hypothesis formation, belief revision, and default reasoning with video data. The architecture consists of two tightly integrated synergistic comp
Externí odkaz:
http://arxiv.org/abs/1712.00840
Autor:
Suchan, Jakob, Bhatt, Mehul
We propose a deep semantic characterization of space and motion categorically from the viewpoint of grounding embodied human-object interactions. Our key focus is on an ontological model that would be adept to formalisation from the viewpoint of comm
Externí odkaz:
http://arxiv.org/abs/1710.04076
Autor:
Suchan, Jakob, Bhatt, Mehul
We present a commonsense, qualitative model for the semantic grounding of embodied visuo-spatial and locomotive interactions. The key contribution is an integrative methodology combining low-level visual processing with high-level, human-centred repr
Externí odkaz:
http://arxiv.org/abs/1709.05293
Publikováno v:
In Artificial Intelligence October 2021 299