58 research outputs found
MPI Planar Correction of Pulse Based ToF Cameras
Time-of-Flight (ToF) cameras are becoming popular in a wide span of areas
ranging from consumer-grade electronic devices to safety-critical industrial
robots. This is mainly due to their high frame rate, relative good precision
and the lowered costs. Although ToF cameras are in continuous development,
especially pulse-based variants, they still face different problems, including
spurious noise over the points or multipath inference (MPI). The latter can
cause deformed surfaces to manifest themselves on curved surfaces instead of
planar ones, making standard spatial data preprocessing, such as plane
extraction, difficult. In this paper, we focus on the MPI reduction problem
using Feature Pyramid Networks (FPN) which allow the mitigation of this type of
artifact for pulse-based ToF cameras. With our end-to-end network, we managed
to attenuate the MPI effect on planar surfaces using a learning-based method on
real ToF data. Both the custom dataset used for our model training as well as
the code is available on the author's Github homepage
Consensual Pupillometry for robotic emotional recognition
The main contribution of this research is to develop of a new measuring device for measuring direct- and consensual light reflex of human pupil. In this case the pupillary light reflex means changing of diameter of pupil due to constant light stimulus as a function of time. Researches certify that the pupil diameter and its change reflects the person’s mental or physical state. There are several “eye tracking” devices available on the market, however, none of these are able to perform a proper consensual measurement. The basic principle of the consensual pupil measurement is that while only one of the eyes is stimulated, reactions of both eyes are being recorded and analyzed. The aim of this project was to develop a software, applicable to an existing prototype device in order to carry out “consensual pupillary reflex” measurements
Sorting Objects from a Conveyor Belt Using POMDPs with Multiple-Object Observations and Information-Gain Rewards
Modeling and Simulation of an Induction Drive with Application to a Small Wind Turbine Generator
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