23,567 research outputs found
Human Motion Trajectory Prediction: A Survey
With growing numbers of intelligent autonomous systems in human environments,
the ability of such systems to perceive, understand and anticipate human
behavior becomes increasingly important. Specifically, predicting future
positions of dynamic agents and planning considering such predictions are key
tasks for self-driving vehicles, service robots and advanced surveillance
systems. This paper provides a survey of human motion trajectory prediction. We
review, analyze and structure a large selection of work from different
communities and propose a taxonomy that categorizes existing methods based on
the motion modeling approach and level of contextual information used. We
provide an overview of the existing datasets and performance metrics. We
discuss limitations of the state of the art and outline directions for further
research.Comment: Submitted to the International Journal of Robotics Research (IJRR),
37 page
Towards a general framework for an observation and knowledge based model of occupant behaviour in office buildings
This paper proposes a new general approach based on Bayesian networks to
model the human behaviour. This approach represents human behaviour
withprobabilistic cause-effect relations based not only on previous works, but
also with conditional probabilities coming either from expert knowledge or
deduced from observations. The approach has been used in the co-simulation of
building physics and human behaviour in order to assess the CO 2 concentration
in an office.Comment: IBPC 2015 Turin , Jun 2015, Turin, Italy. 201
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