Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Boris Miller"'
Publikováno v:
Drones, Vol 5, Iss 3, p 83 (2021)
The navigation of autonomous underwater vehicles is a major scientific and technological challenge. The principal difficulty is the opacity of the water media for usual types of radiation except for the acoustic waves. Thus, an acoustic transducer (a
Externí odkaz:
https://doaj.org/article/9e047f643a5a4b3ba4e6dca435c31bb1
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3849 (2020)
To perform precise approach and landing concerning an aircraft in automatic mode, local airfield-based landing systems are used. For joint processing of measurements of the onboard inertial navigation systems (INS), altimeters and local landing syste
Externí odkaz:
https://doaj.org/article/b7f36493d7284f0c8eac79c3222f4ab8
Publikováno v:
Mathematics, Vol 8, Iss 10, p 1712 (2020)
For a controlled system of coupled Markov chains, which share common control parameters, a tensor description is proposed. A control optimality condition in the form of a dynamic programming equation is derived in tensor form. This condition can be r
Externí odkaz:
https://doaj.org/article/e9237e7e77694272b137fc6981c2a999
Publikováno v:
Sensors, Vol 20, Iss 8, p 2257 (2020)
The paper presents an application of the Conditionally-Minimax Nonlinear Filtering (CMNF) algorithm to the online estimation of underwater vehicle movement given a combination of sonar and Doppler discrete-time noisy sensor observations. The proposed
Externí odkaz:
https://doaj.org/article/58759ab355384df2b165d1bf5554c873
Publikováno v:
Sensors, Vol 15, Iss 12, Pp 29802-29820 (2015)
The article presents an approach to the control of a UAV on the basis of 3D landmark observations. The novelty of the work is the usage of the 3D RANSAC algorithm developed on the basis of the landmarks’ position prediction with the aid of a modifi
Externí odkaz:
https://doaj.org/article/c2932c5f6b6141849e8518136b847473
Publikováno v:
Sensors, Vol 19, Iss 6, p 1351 (2019)
An automatic landing of an unmanned aerial vehicle (UAV) is a non-trivial task requiringa solution of a variety of technical and computational problems. The most important is the precisedetermination of altitude, especially at the final stage of appr
Externí odkaz:
https://doaj.org/article/9a06ff4aacd24011a6911962c3b55957
Autor:
Ivan Konovalenko, Elena Kuznetsova, Alexander Miller, Boris Miller, Alexey Popov, Denis Shepelev, Karen Stepanyan
Publikováno v:
Sensors, Vol 18, Iss 9, p 3010 (2018)
The article presents an overview of the theoretical and experimental work related to unmanned aerial vehicles (UAVs) motion parameters estimation based on the integration of video measurements obtained by the on-board optoelectronic camera and data f
Externí odkaz:
https://doaj.org/article/76376eba59704ee795d56dc39039058a
Publikováno v:
Drones, Vol 5, Iss 83, p 83 (2021)
The navigation of autonomous underwater vehicles is a major scientific and technological challenge. The principal difficulty is the opacity of the water media for usual types of radiation except for the acoustic waves. Thus, an acoustic transducer (a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f24aea2ca30f75adba392fd86eb557b
https://www.mdpi.com/2504-446X/5/3/83
https://www.mdpi.com/2504-446X/5/3/83
Autor:
Boris Miller, Evgeny Rubinovich
This text explores the state-of-the-art in the rapidly developing theory of impulse control and introduces the theory of singular space-time transformations, a new method for studying shock mechanical systems. Two approaches in the theory of impulse
Publikováno v:
Sensors, Vol 20, Iss 2257, p 2257 (2020)
Sensors
Volume 20
Issue 8
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 8
Sensors (Basel, Switzerland)
The paper presents an application of the Conditionally-Minimax Nonlinear Filtering (CMNF) algorithm to the online estimation of underwater vehicle movement given a combination of sonar and Doppler discrete-time noisy sensor observations. The proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a06f120b46d71055ba39453da0c402e5
https://www.mdpi.com/1424-8220/20/8/2257
https://www.mdpi.com/1424-8220/20/8/2257