A Probabilistic Model for Real-Time Semantic Prediction of Human Motion Intentions from RGBD-Data.

For robots to execute their navigation tasks both fast and safely in the presence of humans, it is necessary to make predictions about the route those humans intend to follow. Within this work, a model-based method is proposed that relates human motion behavior perceived from RGBD input to the constraints imposed by the environment by considering typical human routing alternatives. Multiple hypotheses about routing options of a human towards local semantic goal locations are created and validated, including explicit collision avoidance routes.

A previously unknown mechanism in viral pathogenesis leading to effective new vaccines and post-exposure immune treatments of viral infections.

Investigations with the rabies virus identified a previously unknown mechanism of viral pathogenesis. After ultracentrifugation of a suspension of rabid dog brain and rabies vaccine strains, the supernatant was found to contain active components, as evaluated in an in vitro plaque test. The unexpected detection of active components in non-sedimented material prompted further research and the finding that these components, and not the complete virus, were responsible for paralysis and death.