Standard
The Architecture of the Robot-Finder Based on SLAM and Neural Network. / Oleg, Iakushkin; Sevostyanov, Ruslan; Degtyarev, Alexander; Krasilnikov, Egor; Mingazova, Maria; Rusakov, Alexey; Kondratieva, Olesya; Bobryshev, Andrey.
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. ed. / Beniamino Murgante; Osvaldo Gervasi; Elena Stankova; Vladimir Korkhov; Sanjay Misra; Carmelo Torre; Eufemia Tarantino; David Taniar; Ana Maria A.C. Rocha; Bernady O. Apduhan. Springer Nature, 2019. p. 761-771 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Oleg, I, Sevostyanov, R, Degtyarev, A, Krasilnikov, E, Mingazova, M
, Rusakov, A, Kondratieva, O & Bobryshev, A 2019,
The Architecture of the Robot-Finder Based on SLAM and Neural Network. in B Murgante, O Gervasi, E Stankova, V Korkhov, S Misra, C Torre, E Tarantino, D Taniar, AMAC Rocha & BO Apduhan (eds),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11622 LNCS, Springer Nature, pp. 761-771, 19th International Conference on Computational Science and Its Applications, ICCSA 2019, Saint Petersburg, Russian Federation,
1/07/19.
https://doi.org/10.1007/978-3-030-24305-0_57
APA
Oleg, I., Sevostyanov, R., Degtyarev, A., Krasilnikov, E., Mingazova, M.
, Rusakov, A., Kondratieva, O., & Bobryshev, A. (2019).
The Architecture of the Robot-Finder Based on SLAM and Neural Network. In B. Murgante, O. Gervasi, E. Stankova, V. Korkhov, S. Misra, C. Torre, E. Tarantino, D. Taniar, A. M. A. C. Rocha, & B. O. Apduhan (Eds.),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings (pp. 761-771). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-24305-0_57
Vancouver
Oleg I, Sevostyanov R, Degtyarev A, Krasilnikov E, Mingazova M
, Rusakov A et al.
The Architecture of the Robot-Finder Based on SLAM and Neural Network. In Murgante B, Gervasi O, Stankova E, Korkhov V, Misra S, Torre C, Tarantino E, Taniar D, Rocha AMAC, Apduhan BO, editors, Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Springer Nature. 2019. p. 761-771. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-24305-0_57
Author
Oleg, Iakushkin ; Sevostyanov, Ruslan ; Degtyarev, Alexander ; Krasilnikov, Egor ; Mingazova, Maria
; Rusakov, Alexey ; Kondratieva, Olesya ; Bobryshev, Andrey. /
The Architecture of the Robot-Finder Based on SLAM and Neural Network. Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. editor / Beniamino Murgante ; Osvaldo Gervasi ; Elena Stankova ; Vladimir Korkhov ; Sanjay Misra ; Carmelo Torre ; Eufemia Tarantino ; David Taniar ; Ana Maria A.C. Rocha ; Bernady O. Apduhan. Springer Nature, 2019. pp. 761-771 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{3ad4f848820d472fa1e767cdd224dd29,
title = "The Architecture of the Robot-Finder Based on SLAM and Neural Network",
abstract = "The task of this paper is to find lost or frozen people in the wood. That takes accurate exploration of a large space with a minimum time duration. This work is dedicated to the architecture part of the assigned task. We give an architecture for robot-finder capable to find a human being in the wood or in the snow area. For us, the robot is blending of two elements, which we can develop independently. That are a wheeled platform and an operating module. In this task, we look at the second one. During that way we assume that the first one is developed, therefore the robot is driving upon the airbag or wheeled platform. Our solution to this task is architecture and algorithm. These two are made for and directed to learn robot follow the map and detect human being alongside. We use computer vision, neural network and GPS technologies. In the end, we have a theoretical basis for developing robot-finder.",
author = "Iakushkin Oleg and Ruslan Sevostyanov and Alexander Degtyarev and Egor Krasilnikov and Maria Mingazova and Alexey Rusakov and Olesya Kondratieva and Andrey Bobryshev",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 19th International Conference on Computational Science and Its Applications, ICCSA 2019 ; Conference date: 01-07-2019 Through 04-07-2019",
year = "2019",
month = jun,
day = "29",
doi = "10.1007/978-3-030-24305-0_57",
language = "English",
isbn = "9783030243043",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "761--771",
editor = "Beniamino Murgante and Osvaldo Gervasi and Elena Stankova and Vladimir Korkhov and Sanjay Misra and Carmelo Torre and Eufemia Tarantino and David Taniar and Rocha, {Ana Maria A.C.} and Apduhan, {Bernady O.}",
booktitle = "Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings",
address = "Germany",
}
RIS
TY - GEN
T1 - The Architecture of the Robot-Finder Based on SLAM and Neural Network
AU - Oleg, Iakushkin
AU - Sevostyanov, Ruslan
AU - Degtyarev, Alexander
AU - Krasilnikov, Egor
AU - Mingazova, Maria
AU - Rusakov, Alexey
AU - Kondratieva, Olesya
AU - Bobryshev, Andrey
N1 - Conference code: 19
PY - 2019/6/29
Y1 - 2019/6/29
N2 - The task of this paper is to find lost or frozen people in the wood. That takes accurate exploration of a large space with a minimum time duration. This work is dedicated to the architecture part of the assigned task. We give an architecture for robot-finder capable to find a human being in the wood or in the snow area. For us, the robot is blending of two elements, which we can develop independently. That are a wheeled platform and an operating module. In this task, we look at the second one. During that way we assume that the first one is developed, therefore the robot is driving upon the airbag or wheeled platform. Our solution to this task is architecture and algorithm. These two are made for and directed to learn robot follow the map and detect human being alongside. We use computer vision, neural network and GPS technologies. In the end, we have a theoretical basis for developing robot-finder.
AB - The task of this paper is to find lost or frozen people in the wood. That takes accurate exploration of a large space with a minimum time duration. This work is dedicated to the architecture part of the assigned task. We give an architecture for robot-finder capable to find a human being in the wood or in the snow area. For us, the robot is blending of two elements, which we can develop independently. That are a wheeled platform and an operating module. In this task, we look at the second one. During that way we assume that the first one is developed, therefore the robot is driving upon the airbag or wheeled platform. Our solution to this task is architecture and algorithm. These two are made for and directed to learn robot follow the map and detect human being alongside. We use computer vision, neural network and GPS technologies. In the end, we have a theoretical basis for developing robot-finder.
UR - http://www.scopus.com/inward/record.url?scp=85068607999&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-24305-0_57
DO - 10.1007/978-3-030-24305-0_57
M3 - Conference contribution
AN - SCOPUS:85068607999
SN - 9783030243043
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 761
EP - 771
BT - Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings
A2 - Murgante, Beniamino
A2 - Gervasi, Osvaldo
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Misra, Sanjay
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Taniar, David
A2 - Rocha, Ana Maria A.C.
A2 - Apduhan, Bernady O.
PB - Springer Nature
T2 - 19th International Conference on Computational Science and Its Applications, ICCSA 2019
Y2 - 1 July 2019 through 4 July 2019
ER -
