Specific occupational construction safety, health, and well-being related knowledge and
information are scattered and fragmented. Despite technological advancements of …

We demonstrate the need and potential of systematically integrated vision and semantics
solutions for visual sensemaking in the backdrop of autonomous driving. A general …

Abstract Qualitative Spatial & Temporal Reasoning (QSTR) is a major field of study in
Symbolic AI that deals with the representation and reasoning of spatiotemporal information …

We present a modified ground-and-solve approach based on the clingo Answer Set
Programming (ASP) system to perform non-monotonic spatial reasoning tasks, Clingo2DSR …

We present a new approach based on spatial reasoning in Answer Set Programming (ASP),
and a prototype software tool, for automatically evaluating construction safety compliance of …

Spatial information is often expressed using qualitative terms such as natural language
expressions instead of coordinates; reasoning over such terms has several practical …

Based on case studies within the construction industry, the application of location-based
construction scheduling and utilizing software-based rule checking has delivered promising …

Abstract Knowledge about space and time is necessary to solve problems in the physical
world. Spatio-temporal knowledge, however, is required beyond interacting with the physical …

We address computational cognitive vision and perception at the interface of language,
logic, cognition, and artificial intelligence. The chapter presents general methods for the …

A building occupant's experiences are not passive responses to environmental stimuli, but
are the results of multifaceted, prolonged interactions between people and space. We …