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Probabilistic Semantic Mapping for Autonomous Driving in Urban Environments
Statistical learning techniques and increased computational power have facilitated the development of self-driving car technology. However, a limiting factor has been the high expense of scaling and maintaining high-definition (HD) maps. These maps are a
Hengyuan Zhang +5 more
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A growing interest in understanding complex and dynamic psychological processes as they occur in everyday life has led to an increase in studies using ambulatory assessment techniques, including the experience-sampling method (ESM) and ecological ...
Olivia J. Kirtley +4 more
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Delayed responses are a common phenomenon in experience sampling studies. Yet no consensus exists on whether they should be excluded from the analysis or what the threshold for exclusion should be.
Gudrun Eisele +4 more
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Contextual Fraction as a Measure of Contextuality [PDF]
We consider the contextual fraction as a quantitative measure of contextuality of empirical models, i.e. tables of probabilities of measurement outcomes in an experimental scenario. It provides a general way to compare the degree of contextuality across measurement scenarios; it bears a precise relationship to violations of Bell inequalities; its value,
Abramsky, Samson +2 more
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Measures of contextuality and non-contextuality [PDF]
We discuss three measures of the degree of contextuality in contextual systems of dichotomous random variables. These measures are developed within the framework of the Contextuality-by-Default (CbD) theory, and apply to inconsistently connected systems (those with ‘disturbance’ allowed).
Janne V. Kujala, Ehtibar N. Dzhafarov
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Conditional Generative Models for Dynamic Trajectory Generation and Urban Driving
This work explores methodologies for dynamic trajectory generation for urban driving environments by utilizing coarse global plan representations. In contrast to state-of-the-art architectures for autonomous driving that often leverage lane-level high ...
David Paz +4 more
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Quantifying Contextuality [PDF]
Contextuality is central to both the foundations of quantum theory and to the novel information processing tasks. Although it was recognized before Bell's nonlocality, despite some recent proposals, it still faces a fundamental problem: how to quantify its presence? In this work, we provide a framework for quantifying contextuality.
A. Grudka +7 more
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Adolescence is a vulnerable period for psychopathology development, and certain parenting styles are consistent and robust predictors of a broad range of mental health outcomes.
Robin Achterhof +11 more
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18 pages, to appear in Proceedings of 29th EACSL Annual Conference on Computer Science Logic (CSL 2021)
Samson Abramsky, Rui Soares Barbosa
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Contextualizing ontologies [PDF]
Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party's subjective view of a domain. In this paper, we show how ontologies can be contextualized, thus acquiring certain useful properties that a pure shared approach cannot provide.
Paolo Bouquet +4 more
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