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Looking for Trouble: Pre‐Intervention Monitoring in Human and AI Driver Training

open access: yesSymbolic Interaction, EarlyView.
We compare two types of situations involving monitoring of car driving: a driving instructor overseeing a trainee driver and a safety driver overseeing the performance of autonomous vehicle (AV) software. Our focus is on instances of monitoring that precede (1) interventions that are aborted before impacting the driving and (2) actual interventions on ...
Mathias Broth   +2 more
wiley   +1 more source
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Spatio-temporal pattern detection in spatio-temporal graphs

Revue Internationale de Géomatique, 2022
Spatio-temporal (ST) graphs have been used in many application domains to model evolving ST phenomenon. Such models represent the underlying structure of the phenomenon in terms of its entities and different types of spatial interactions between them.
Kamaldeep Singh Oberoi   +1 more
openaire   +1 more source

Spatio-Temporal Holograpy

Ultrafast Phenomena, 1994
There are quite a few examples of analogies between spatial problems and their corresponding temporal counterparts in optics. One example is the space-time duality between diffraction and dispersion, which has recently resulted in the concept of a “time lens” [1,2]. Another one is the similarity between holographic and photon-echo optical memories [3].
M. C. Nuss   +3 more
openaire   +1 more source

Spatio-Temporal Footprints

International Journal of Ambient Computing and Intelligence, 2010
The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this paper, we introduce the idea of spatio-temporal footprints, which are local patterns in space and time that should be similar across repeated occurrences of the same behaviour. We discuss the spatial and temporal
Hans W. Guesgen, Stephen Marsland
openaire   +1 more source

Spatio-temporal upsampling on the GPU

Proceedings of the 2010 ACM SIGGRAPH symposium on Interactive 3D Graphics and Games, 2010
Pixel processing is becoming increasingly expensive for real-time applications due to the complexity of today's shaders and high-resolution framebuffers. However, most shading results are spatially or temporally coherent, which allows for sparse sampling and reuse of neighboring pixel values.
Robert Herzog   +3 more
openaire   +2 more sources

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