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  1. Book ; Online: Automated Automotive Radar Calibration With Intelligent Vehicles

    Tsaregorodtsev, Alexander / Buchholz, Michael / Belagiannis, Vasileios

    2023  

    Abstract: While automotive radar sensors are widely adopted and have been used for automatic cruise control and collision avoidance tasks, their application outside of vehicles is still limited. As they have the ability to resolve multiple targets in 3D space, ... ...

    Abstract While automotive radar sensors are widely adopted and have been used for automatic cruise control and collision avoidance tasks, their application outside of vehicles is still limited. As they have the ability to resolve multiple targets in 3D space, radars can also be used for improving environment perception. This application, however, requires a precise calibration, which is usually a time-consuming and labor-intensive task. We, therefore, present an approach for automated and geo-referenced extrinsic calibration of automotive radar sensors that is based on a novel hypothesis filtering scheme. Our method does not require external modifications of a vehicle and instead uses the location data obtained from automated vehicles. This location data is then combined with filtered sensor data to create calibration hypotheses. Subsequent filtering and optimization recovers the correct calibration. Our evaluation on data from a real testing site shows that our method can correctly calibrate infrastructure sensors in an automated manner, thus enabling cooperative driving scenarios.

    Comment: 5 pages, 4 figures, accepted for presentation at the 31st European Signal Processing Conference (EUSIPCO), September 4 - September 8, 2023, Helsinki, Finland
    Keywords Computer Science - Robotics ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 629
    Publishing date 2023-06-23
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: ParticleAugment

    Tsaregorodtsev, Alexander / Belagiannis, Vasileios

    Sampling-Based Data Augmentation

    2021  

    Abstract: We present an automated data augmentation approach for image classification. We formulate the problem as Monte Carlo sampling where our goal is to approximate the optimal augmentation policies. We propose a particle filtering scheme for the policy search ...

    Abstract We present an automated data augmentation approach for image classification. We formulate the problem as Monte Carlo sampling where our goal is to approximate the optimal augmentation policies. We propose a particle filtering scheme for the policy search where the probability of applying a set of augmentation operations forms the state of the filter. We measure the policy performance based on the loss function difference between a reference and the actual model, which we afterwards use to re-weight the particles and finally update the policy. In our experiments, we show that our formulation for automated augmentation reaches promising results on CIFAR-10, CIFAR-100, and ImageNet datasets using the standard network architectures for this problem. By comparing with the related work, our method reaches a balance between the computational cost of policy search and the model performance. Our code will be made publicly available.

    Comment: 8 pages
    Keywords Computer Science - Machine Learning ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2021-06-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Automated Static Camera Calibration with Intelligent Vehicles

    Tsaregorodtsev, Alexander / Holzbock, Adrian / Strohbeck, Jan / Buchholz, Michael / Belagiannis, Vasileios

    2023  

    Abstract: Connected and cooperative driving requires precise calibration of the roadside infrastructure for having a reliable perception system. To solve this requirement in an automated manner, we present a robust extrinsic calibration method for automated geo- ... ...

    Abstract Connected and cooperative driving requires precise calibration of the roadside infrastructure for having a reliable perception system. To solve this requirement in an automated manner, we present a robust extrinsic calibration method for automated geo-referenced camera calibration. Our method requires a calibration vehicle equipped with a combined GNSS/RTK receiver and an inertial measurement unit (IMU) for self-localization. In order to remove any requirements for the target's appearance and the local traffic conditions, we propose a novel approach using hypothesis filtering. Our method does not require any human interaction with the information recorded by both the infrastructure and the vehicle. Furthermore, we do not limit road access for other road users during calibration. We demonstrate the feasibility and accuracy of our approach by evaluating our approach on synthetic datasets as well as a real-world connected intersection, and deploying the calibration on real infrastructure. Our source code is publicly available.

    Comment: 7 pages, 3 figures, accepted for presentation at the 34th IEEE Intelligent Vehicles Symposium (IV 2023), June 4 - June 7, 2023, Anchorage, Alaska, United States of America
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 629
    Publishing date 2023-04-21
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Book ; Online: A Spatio-Temporal Multilayer Perceptron for Gesture Recognition

    Holzbock, Adrian / Tsaregorodtsev, Alexander / Dawoud, Youssef / Dietmayer, Klaus / Belagiannis, Vasileios

    2022  

    Abstract: Gesture recognition is essential for the interaction of autonomous vehicles with humans. While the current approaches focus on combining several modalities like image features, keypoints and bone vectors, we present neural network architecture that ... ...

    Abstract Gesture recognition is essential for the interaction of autonomous vehicles with humans. While the current approaches focus on combining several modalities like image features, keypoints and bone vectors, we present neural network architecture that delivers state-of-the-art results only with body skeleton input data. We propose the spatio-temporal multilayer perceptron for gesture recognition in the context of autonomous vehicles. Given 3D body poses over time, we define temporal and spatial mixing operations to extract features in both domains. Additionally, the importance of each time step is re-weighted with Squeeze-and-Excitation layers. An extensive evaluation of the TCG and Drive&Act datasets is provided to showcase the promising performance of our approach. Furthermore, we deploy our model to our autonomous vehicle to show its real-time capability and stable execution.

    Comment: Accepted for presentation at the 33rd IEEE Intelligent Vehicles Symposium (IV 2022), June 5 - June 9, 2022, Aachen, Germany
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2022-04-25
    Publishing country us
    Document type Book ; Online
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  5. Book ; Online: Extrinsic Camera Calibration with Semantic Segmentation

    Tsaregorodtsev, Alexander / Müller, Johannes / Strohbeck, Jan / Herrmann, Martin / Buchholz, Michael / Belagiannis, Vasileios

    2022  

    Abstract: Monocular camera sensors are vital to intelligent vehicle operation and automated driving assistance and are also heavily employed in traffic control infrastructure. Calibrating the monocular camera, though, is time-consuming and often requires ... ...

    Abstract Monocular camera sensors are vital to intelligent vehicle operation and automated driving assistance and are also heavily employed in traffic control infrastructure. Calibrating the monocular camera, though, is time-consuming and often requires significant manual intervention. In this work, we present an extrinsic camera calibration approach that automatizes the parameter estimation by utilizing semantic segmentation information from images and point clouds. Our approach relies on a coarse initial measurement of the camera pose and builds on lidar sensors mounted on a vehicle with high-precision localization to capture a point cloud of the camera environment. Afterward, a mapping between the camera and world coordinate spaces is obtained by performing a lidar-to-camera registration of the semantically segmented sensor data. We evaluate our method on simulated and real-world data to demonstrate low error measurements in the calibration results. Our approach is suitable for infrastructure sensors as well as vehicle sensors, while it does not require motion of the camera platform.

    Comment: 7 pages, 3 figures, accepted at the 25th International Conference on Intelligent Transportation Systems (ITSC) 2022
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 620
    Publishing date 2022-08-08
    Publishing country us
    Document type Book ; Online
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  6. Article: Structural Biology in the Clouds: The WeNMR-EOSC Ecosystem.

    Honorato, Rodrigo V / Koukos, Panagiotis I / Jiménez-García, Brian / Tsaregorodtsev, Andrei / Verlato, Marco / Giachetti, Andrea / Rosato, Antonio / Bonvin, Alexandre M J J

    Frontiers in molecular biosciences

    2021  Volume 8, Page(s) 729513

    Abstract: Structural biology aims at characterizing the structural and dynamic properties of biological macromolecules at atomic details. Gaining insight into three dimensional structures of biomolecules and their interactions is critical for understanding the ... ...

    Abstract Structural biology aims at characterizing the structural and dynamic properties of biological macromolecules at atomic details. Gaining insight into three dimensional structures of biomolecules and their interactions is critical for understanding the vast majority of cellular processes, with direct applications in health and food sciences. Since 2010, the WeNMR project (www.wenmr.eu) has implemented numerous web-based services to facilitate the use of advanced computational tools by researchers in the field, using the high throughput computing infrastructure provided by EGI. These services have been further developed in subsequent initiatives under H2020 projects and are now operating as Thematic Services in the European Open Science Cloud portal (www.eosc-portal.eu), sending >12 millions of jobs and using around 4,000 CPU-years per year. Here we review 10 years of successful e-infrastructure solutions serving a large worldwide community of over 23,000 users to date, providing them with user-friendly, web-based solutions that run complex workflows in structural biology. The current set of active WeNMR portals are described, together with the complex backend machinery that allows distributed computing resources to be harvested efficiently.
    Language English
    Publishing date 2021-07-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2814330-9
    ISSN 2296-889X
    ISSN 2296-889X
    DOI 10.3389/fmolb.2021.729513
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  7. Article: Uspeshnoe lechenie aorto-duodenal'noĭ fistuly posle operatsii na briushnom otdele aorty.

    Kalinin, R E / Suchkov, I A / Pshennikov, A S / Egorov, A A / Gerasimov, A A / Zaĭtsev, O V / Iudin, V A / Klimentova, É A / Tsaregorodtsev, A A / Karpov, V V / Agapov, A B / Vinogradov, S A

    Angiologiia i sosudistaia khirurgiia = Angiology and vascular surgery

    2020  Volume 26, Issue 2, Page(s) 170–174

    Abstract: Gastrointestinal haemorrhage is a common cause of emergency admission of patients to surgical hospitals. Within the structure of nosological entities, not unreasonably referred to the rarest causes of gastrointestinal bleeding is the formation of an ... ...

    Title translation Successful treatment of an aortoduodenal fistula after operation on the abdominal portion of the aorta.
    Abstract Gastrointestinal haemorrhage is a common cause of emergency admission of patients to surgical hospitals. Within the structure of nosological entities, not unreasonably referred to the rarest causes of gastrointestinal bleeding is the formation of an aortointestinal fistula whose early diagnosis is of paramount importance. The clinical picture may be different but it is mostly represented by gastrointestinal haemorrhage. The incidence of gastrointestinal fistulas following a surgical intervention ranges from 0.6 to 2.3%. Unless timely diagnosed and with incorrect therapeutic decision-making, the mortality rate amounts to 90%. In this article we present a clinical case report regarding successful treatment of a patient presenting with a secondary aortoduodenal fistula occurring 5 years after previously performed aortofemoral bypass grafting and complicated by relapsing intestinal bleeding and acute ischaemia of the right lower extremity.
    MeSH term(s) Aorta, Abdominal ; Aortic Diseases/diagnosis ; Duodenal Diseases/diagnosis ; Duodenal Diseases/etiology ; Duodenal Diseases/surgery ; Gastrointestinal Hemorrhage/diagnosis ; Humans ; Intestinal Fistula/diagnosis ; Intestinal Fistula/etiology ; Intestinal Fistula/surgery
    Language Russian
    Publishing date 2020-06-29
    Publishing country Russia (Federation)
    Document type Case Reports ; Journal Article
    ZDB-ID 2186202-3
    ISSN 1027-6661
    ISSN 1027-6661
    DOI 10.33529/ANGIO2020213
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6111: Show issues Location:
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  8. Article: Crops planted in large beds

    TSaregorodtsev, A

    Lesnoe khoziaistvo Nov 1973, 11

    1973  

    Title variant Crops planted in large beds. [Pinus]
    Keywords Pinus ; USSR
    Language Russian
    Dates of publication 1973-11
    Size p. 91-92.
    Document type Article
    Note In Russian. ; Title in original language could not be transcribed.
    ZDB-ID 40773-2
    ISSN 0024-1113
    ISSN 0024-1113
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 1571: Show issues

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  9. Article: Test vosstanovleniia nitrosinego tetrazoliia v otsenke éffektivnosti antibakterial'noĭ terapii oslozhneniĭ ostrykh respiratorno-virusnykh zabolevaniĭ u deteĭ.

    Tsaregorodtsev, A D

    Pediatriia

    1980  , Issue 1, Page(s) 37–38

    Title translation Nitroblue tetrazolium reduction test in assessing the effectiveness of antibacterial therapy of the complications of acute respiratory viral diseases in children.
    MeSH term(s) Acute Disease ; Adolescent ; Bacterial Infections/drug therapy ; Child ; Child, Preschool ; Drug Evaluation ; Humans ; Infant ; Nitroblue Tetrazolium ; Oxidation-Reduction ; Respiratory Tract Infections/complications ; Respiratory Tract Infections/drug therapy ; Tetrazolium Salts ; Virus Diseases/complications ; Virus Diseases/drug therapy
    Chemical Substances Tetrazolium Salts ; Nitroblue Tetrazolium (298-83-9)
    Language Russian
    Publishing date 1980
    Publishing country Russia (Federation)
    Document type Comparative Study ; Journal Article
    ZDB-ID 123442-0
    ISSN 1990-2182 ; 0031-403X
    ISSN (online) 1990-2182
    ISSN 0031-403X
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 735: Show issues Location:
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    Zs.MO 380: Show issues

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  10. Article: [The use of modern diagnostic and preventive technologies in children with hereditary and congenital intellectual developmental disorders].

    Vel'tishchev, Iu E / Tsaregorodtsev, A D / Novikov, P V / Vorsanova, S G

    Vestnik Rossiiskoi akademii meditsinskikh nauk

    2006  , Issue 9-10, Page(s) 11–18

    Abstract: The article is dedicated to the problems of intellectual disorders in children suffering from congenital and hereditary diseases, and reflects the issues of the medicosocial significance of neuropsychical impairment in children and the proportion of ... ...

    Abstract The article is dedicated to the problems of intellectual disorders in children suffering from congenital and hereditary diseases, and reflects the issues of the medicosocial significance of neuropsychical impairment in children and the proportion of ethiological factors in the genesis of mental retardation. The authors consider modern diagnostic and preventive technologies that are used in pediatric practice in children with hereditary and congenital intellectual developmental disorders.
    MeSH term(s) Adult ; Brain Mapping ; Child ; Child, Preschool ; Chromosome Aberrations ; Clinical Enzyme Tests ; Counseling ; Down Syndrome/diagnosis ; Down Syndrome/genetics ; Electroencephalography ; Female ; Humans ; Infant ; Infant, Newborn ; Intellectual Disability/diagnosis ; Intellectual Disability/etiology ; Intellectual Disability/genetics ; Intellectual Disability/prevention & control ; Male ; Neonatal Screening ; Psychological Tests ; Risk Factors
    Language Russian
    Publishing date 2006
    Publishing country Russia (Federation)
    Document type Comparative Study ; English Abstract ; Journal Article ; Review
    ZDB-ID 1112761-2
    ISSN 0869-6047 ; 0002-3027
    ISSN 0869-6047 ; 0002-3027
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    In stock of ZB MED Cologne/Königswinter

    Zs.B 744: Show issues Location:
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