4,804 research outputs found
Tests of heat shield materials in intense laser radiation
Heat shield materials were tested under intense radiation in a gas dynamic laser. The laser is described and test results are presented
On the Domain of Mixing Angles in Three Flavor Neutrino Oscillations
We clarify the domain needed for the mixing angles in three flavor neutrino
oscillations. By comparing the ranges of the transition probabilities as
functions of the domains of the mixing angles, we show that it is necessary and
sufficient to let all mixing angles be in . This holds
irrespectively of any assumptions on the neutrino mass squared differences.Comment: 4 pages, 5 figure
Deep Network Uncertainty Maps for Indoor Navigation
Most mobile robots for indoor use rely on 2D laser scanners for localization,
mapping and navigation. These sensors, however, cannot detect transparent
surfaces or measure the full occupancy of complex objects such as tables. Deep
Neural Networks have recently been proposed to overcome this limitation by
learning to estimate object occupancy. These estimates are nevertheless subject
to uncertainty, making the evaluation of their confidence an important issue
for these measures to be useful for autonomous navigation and mapping. In this
work we approach the problem from two sides. First we discuss uncertainty
estimation in deep models, proposing a solution based on a fully convolutional
neural network. The proposed architecture is not restricted by the assumption
that the uncertainty follows a Gaussian model, as in the case of many popular
solutions for deep model uncertainty estimation, such as Monte-Carlo Dropout.
We present results showing that uncertainty over obstacle distances is actually
better modeled with a Laplace distribution. Then, we propose a novel approach
to build maps based on Deep Neural Network uncertainty models. In particular,
we present an algorithm to build a map that includes information over obstacle
distance estimates while taking into account the level of uncertainty in each
estimate. We show how the constructed map can be used to increase global
navigation safety by planning trajectories which avoid areas of high
uncertainty, enabling higher autonomy for mobile robots in indoor settings.Comment: Accepted for publication in "2019 IEEE-RAS International Conference
on Humanoid Robots (Humanoids)
Redovisning av medel erhÄllna frÄn Myndigheten för nÀtverk och samarbete inom högre utbildning. NÀtverks benÀmning: Biomedicin
NÀtverksmötena har upplevts som mycket positiva och vÀrdefulla och fler möten planeras. Sammantaget kan sÀgas att programmen vill verka för att samarbeta för att frÀmja biomedicinarutbildningarnas popularitet och stÀrka studenternas yrkesidentitet och anstÀllningsbarhet. De olika utbildningsorterna Àr inte benÀgna att konkurrera med varandra eller att tÀvla om att vara den bÀsta utbildningen eller populÀraste utbildningsorten. Man föredrar att komplettera varandra och samverka för ett brett utbud av masterutbildningar
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