Articles
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09/10/2014--
09/10/2014
On some compound distributions with Borel summands
The generalized Poisson distribution is well known to be a compound Poisson
distribution with Borel summands. As a generalization we present closed
formulas for compound Bartlett and Delaporte distributions with Borel summands
and a recursive structure for certain compound shifted Delaporte mixtures with
Borel summands. Our models are introduced in an actuarial context as claim
number distributions and are derived only with probabilistic arguments and
elementary combinatorial identities. In the actuarial context related compound
distributions are of importance as models for the total size of insurance
claims for which we present simple recursion formulas of Panjer type.
Helmut Finner
Peter Kern
Marsel Scheer
09/13/2022--
07/06/2021
Open-Source LiDAR Time Synchronization System by Mimicking GNSS-clock
Data fusion algorithms that employ LiDAR measurements, such as Visual-LiDAR,
LiDAR-Inertial, or Multiple LiDAR Odometry and simultaneous localization and
mapping (SLAM) rely on precise timestamping schemes that grant synchronicity to
data from LiDAR and other sensors. Poor synchronization performance, due to
incorrect timestamping procedure, may negatively affect the algorithms' state
estimation results. To provide highly accurate and precise synchronization
between the sensors, we introduce an open-source hardware-software LiDAR to
other sensors time synchronization system that exploits a dedicated hardware
LiDAR time synchronization interface by providing emulated GNSS-clock to this
interface, no physical GNSS-receiver is needed. The emulator is based on a
general-purpose microcontroller and, due to concise hardware and software
architecture, can be easily modified or extended for synchronization of sets of
different sensors such as cameras, inertial measurement units (IMUs), wheel
encoders, other LiDARs, etc. In the paper, we provide an example of such a
system with synchronized LiDAR and IMU sensors. We conducted an evaluation of
the sensors synchronization accuracy and precision, and state 1 microsecond
performance. We compared our results with timestamping provided by ROS software
and by a LiDAR inner clocking scheme to underline clear advantages over these
two baseline methods.
Marsel Faizullin
Anastasiia Kornilova
Gonzalo Ferrer
02/06/2007--
02/06/2007
The Casimir Effect in Relativistic Quantum Field Theories
We review recent developments in the Casimir effect which arises in
quantization volumes restricted by material boundaries and in spaces with
non-Euclidean topology. The starting point of our discussion is the novel exact
solution for the electromagnetic Casimir force in the configuration of a
cylinder above a plate. The related work for the scalar Casimir effect in
sphere-plate configuration is also considered, and the application region of
the proximity force theorem is discussed. Next we consider new experiments on
the measurement of the Casimir force between metals and between metal and
semiconductor. The complicated problem connected with the theory of the thermal
Casimir force between real metals is analyzed in detail. The present situation
regarding different theoretical approaches to the resolution of this problem is
summarized. We conclude with new constraints on non-Newtonian gravity obtained
using the results of latest Casimir force measurements and compare them with
constraints following from the most recent gravitational experiments.
V. M. Mostepanenko
07/25/2008--
07/25/2008
UDP: an integral management system of embedded scripts implemented into the IMaX instrument of the Sunrise mission
The UDP (User Defined Program) system is a scripting framework for
controlling and extending instrumentation software. It has been specially
designed for air- and space-borne instruments with flexibility, error control,
reuse, automation, traceability and ease of development as its main objectives.
All the system applications are connected through a database containing the
valid script commands including descriptive information and source code. The
system can be adapted to different projects without changes in the framework
tools, thus achieving great level of flexibility and reusability. The UDP
system comprises: an embedded system for the execution of scripts by the
instrument software; automatic tools for aiding in the creation, modification,
documentation and tracing of new scripting language commands; and interfaces
for the creation of scripts and execution control.
R. Morales Munoz
P. Mellado
J. Marco de la Rosa
IMaX Team
11/17/2018--
11/17/2018
Experimental Testing of Scattering Polarization Models
We realized a laboratory experiment to study the scattering polarization of
the Na I D-doublet at 589.0 and 589.6 nm in the presence of a magnetic field.
This work was stimulated by solar observations of that doublet, which have
proven particularly challenging to explain through available models of
polarized line formation, even to the point of casting doubts on our very
understanding of the underlying physics. The purpose of the experiment was to
test a quantum theory for the polarized scattering of spectrally flat incident
radiation, on which much of the current magnetic diagnostics of stellar
atmospheres is based. The experiment has confirmed the predictions of that
theory, and its adequacy for the modeling of scattering polarization under
flat-spectrum illumination.
W. Li
R. Casini
S. Tomczyk
E. Landi Degl'Innocenti
B. Marsell
09/17/2018--
09/17/2018
Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition
Simultaneous EEG/fMRI acquisition allows to measure brain activity at high
spatial-temporal resolution. The localisation of EEG sources depends on several
parameters including the position of the electrodes on the scalp. The position
of the MR electrodes during its acquisitions is obtained with the use of the
UTE sequence allowing their visualisation. The retrieval of the electrodes
consists in obtaining the volume where the electrodes are located by applying a
sphere detection algorithm. We detect around 90% of electrodes for each
subject, and our UTE-based electrode detection showed an average position error
of 3.7mm for all subjects.
Mathis Fleury
Pierre Maurel
Marsel Mano
Elise Bannier
Christian Barillot
08/26/2021--
07/02/2021
Sub-millisecond Video Synchronization of Multiple Android Smartphones
This paper addresses the problem of building an affordable easy-to-setup
synchronized multi-view camera system, which is in demand for many Computer
Vision and Robotics applications in high-dynamic environments. In our work, we
propose a solution for this problem -- a publicly-available Android application
for synchronized video recording on multiple smartphones with sub-millisecond
accuracy. We present a generalized mathematical model of timestamping for
Android smartphones and prove its applicability on 47 different physical
devices. Also, we estimate the time drift parameter for those smartphones,
which is less than 1.2 msec per minute for most of the considered devices, that
makes smartphones' camera system a worthy analog for professional multi-view
systems. Finally, we demonstrate Android-app performance on the camera system
built from Android smartphones quantitatively on setup with lights and
qualitatively -- on panorama stitching task.
Azat Akhmetyanov
Anastasiia Kornilova
Marsel Faizullin
David Pozo
Gonzalo Ferrer
11/29/2021--
11/29/2021
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning
Safety is the primary concern when it comes to air traffic. In-flight safety
between Unmanned Aircraft Vehicles (UAVs) is ensured through pairwise
separation minima, utilizing conflict detection and resolution methods.
Existing methods mainly deal with pairwise conflicts, however due to an
expected increase in traffic density, encounters with more than two UAVs are
likely to happen. In this paper, we model multi-UAV conflict resolution as a
multi-agent reinforcement learning problem. We implement an algorithm based on
graph neural networks where cooperative agents can communicate to jointly
generate resolution maneuvers. The model is evaluated in scenarios with 3 and 4
present agents. Results show that agents are able to successfully solve the
multi-UAV conflicts through a cooperative strategy.
Ralvi Isufaj
Marsel Omeri
Miquel Angel Piera
04/21/2022--
04/21/2022
SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis
We present a dataset of 1000 video sequences of human portraits recorded in
real and uncontrolled conditions by using a handheld smartphone accompanied by
an external high-quality depth camera. The collected dataset contains 200
people captured in different poses and locations and its main purpose is to
bridge the gap between raw measurements obtained from a smartphone and
downstream applications, such as state estimation, 3D reconstruction, view
synthesis, etc. The sensors employed in data collection are the smartphone's
camera and Inertial Measurement Unit (IMU), and an external Azure Kinect DK
depth camera software synchronized with sub-millisecond precision to the
smartphone system. During the recording, the smartphone flash is used to
provide a periodic secondary source of lightning. Accurate mask of the foremost
person is provided as well as its impact on the camera alignment accuracy. For
evaluation purposes, we compare multiple state-of-the-art camera alignment
methods by using a Motion Capture system. We provide a smartphone
visual-inertial benchmark for portrait capturing, where we report results for
multiple methods and motivate further use of the provided trajectories,
available in the dataset, in view synthesis and 3D reconstruction tasks.
Anastasiia Kornilova
Marsel Faizullin
Konstantin Pakulev
Andrey Sadkov
Denis Kukushkin
Azat Akhmetyanov
Timur Akhtyamov
Hekmat Taherinejad
Gonzalo Ferrer
07/15/2022--
07/15/2022
From Single Aircraft to Communities: A Neutral Interpretation of Air Traffic Complexity Dynamics
Present air traffic complexity metrics are defined considering the interests
of different management layers of ATM. These layers have different objectives
which in practice compete to maximize their own goals, which leads to
fragmented decision making. This fragmentation together with competing KPAs
requires transparent and neutral air traffic information to pave the way for an
explainable set of actions. In this paper, we introduce the concept of single
aircraft complexity, to determine the contribution of each aircraft to the
overall complexity of air traffic. Furthermore, we describe a methodology
extending this concept to define complex communities, which are groups of
interdependent aircraft that contribute the majority of the complexity in a
certain airspace. In order to showcase the methodology, a tool that visualizes
different outputs of the algorithm is developed. Through use-cases based on
synthetic and real historical traffic, we first show that the algorithm can
serve to formalize controller decisions as well as guide controllers to better
decisions. Further, we investigate how the provided information can be used to
increase transparency of the decision makers towards different airspace users,
which serves also to increase fairness and equity. Lastly, a sensitivity
analysis is conducted in order to systematically analyse how each input affects
the methodology.
Ralvi Isufaj
Marsel Omeri
Miquel Angel Piera
Jaume Saez Valls
Christian Eduardo Verdonk Gallego
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