scholarly journals Time-optimi guaranteed search of mobile object in the plane.

2015 ◽  
Vol 68 (1) ◽  
pp. 66-80
Author(s):  
V.V. Avetisyan ◽  
V.S. Stepanyan
Keyword(s):  
Mobile Object ◽  
Guaranteed Search

scholarly journals Adaptive Stochastic Filtration Based on the Estimation of the Covariance Matrix of Measurement Noises Using Irregular Accurate Observations

Inventions ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Sergey Sokolov ◽  
Arthur Novikov ◽  
Marianna Polyakova
Keyword(s):  
Covariance Matrix ◽  
Adaptive Estimation ◽  
Observation System ◽  
Mobile Object ◽  
New Approach ◽  
Measurement Systems ◽  
System Parameters ◽  
Traditional Scheme ◽  
Adaptive Filtration ◽  
Measurement Noises

In measurement systems operating under various disturbances the probabilistic characteristics of measurement noises are usually known approximately. To improve the observation accuracy, a new approach to the Kalman’s filter adaptation is proposed. In this approach, the Covariance Matrix of Measurement Noises (CMMN) is estimated by accurate measurements detected irregularly by the mobile object observation system (from radiofrequency identifiers, etalon reference, fixed points etc.). The problem of adaptive estimation of the observer’s noises covariance matrix in the Kalman filter is solved analytically for two cases: mutual noises correlation, and its absence. The numerical example for adaptive filtration of complexing navigation system parameters of a mobile object using irregular accurate measurements is given to illustrate the effectiveness of the proposed algorithm. Coordinate estimating errors have changed in comparison with the traditional scheme from 100 m to 2 m in latitude, and from 200 m to 1.5 m in longitude.

scholarly journals Path Planning for Mobile Objects in Four-Dimension Based on Particle Swarm Optimization Method with Penalty Function

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yong Ma ◽  
M. Zamirian ◽  
Yadong Yang ◽  
Yanmin Xu ◽  
Jing Zhang
Keyword(s):  
Particle Swarm Optimization ◽  
Penalty Function ◽  
Particle Swarm ◽  
Goal Function ◽  
Optimization Method ◽  
Mobile Object ◽  
Time Varying ◽  
Swarm Optimization ◽  
Calculus Of Variation ◽  
Mobile Objects

We present one algorithm based on particle swarm optimization (PSO) with penalty function to determine the conflict-free path for mobile objects in four-dimension (three spatial and one-time dimensions) with obstacles. The shortest path of the mobile object is set as goal function, which is constrained by conflict-free criterion, path smoothness, and velocity and acceleration requirements. This problem is formulated as a calculus of variation problem (CVP). With parametrization method, the CVP is converted to a time-varying nonlinear programming problem (TNLPP). Constraints of TNLPP are transformed to general TNLPP without any constraints through penalty functions. Then, by using a little calculations and applying the algorithm PSO, the solution of the CVP is consequently obtained. Approach efficiency is confirmed by numerical examples.

scholarly journals Research on forest terrain roughness as a source of dynamic action on the vehicle

2017 ◽  
Vol 63 (No. 8) ◽  
pp. 363-369
Author(s):  
Mikleš Milan ◽  
Helexa Milan ◽  
Mikleš Juraj
Keyword(s):  
Correlation Function ◽  
Spectral Density ◽  
Power Spectral Density ◽  
Ground Surface ◽  
Operating Conditions ◽  
Mobile Object ◽  
Object A ◽  
Power Spectral ◽  
Gneiss Granite ◽  
Ground Conditions

The issue of terrain conditions is very complex and its description is approached from different perspectives and with different objectives. Because it consists of the gathering of basic information for a mobile object, a wheeled forestry tractor, the terrain-vehicle approach was taken as the basis. Ground conditions are part of the operating conditions of wheeled forestry tractors. Uneven ground can be regarded as a source of vibration in the vehicle – towing truck. In this respect, given the random shape of the surface roughness, the solution to vibrations leads to a terrain correlation analysis in order to obtain a correlation function and power spectral density of the ground surface. Scanning of the ground micro-profile was performed using a device for quick terrain scanning, which from the mechanical aspect consists of a towing vehicle and a measuring carriage. Correlation function and power spectral density are the evaluation based on ground micro-profile measurements and the results of calculations. Measurements of forest terrain (road) micro-profile were done in the area of Little Fatra and Little Carpathians in Slovakia. In geological terms, the measurements were done in an area with the occurrence of gneiss, granite, limestone and flysch. No measurements were performed in a sandy area.

scholarly journals EXTRACTING MOBILE OBJECTS IN IMAGES USING A VELODYNE LIDAR POINT CLOUD

2015 ◽  
Vol II-3/W4 ◽  
pp. 247-253 ◽  
Author(s):  
B. Vallet ◽  
W. Xiao ◽  
M. Brédif
Keyword(s):  
Point Cloud ◽  
Mobile Object ◽  
Object A ◽  
Mobile Objects ◽  
Dempster Shafer Theory ◽  
Static Part ◽  
Shafer Theory

This paper presents a full pipeline to extract mobile objects in images based on a simultaneous laser acquisition with a Velodyne scanner. The point cloud is first analysed to extract mobile objects in 3D. This is done using Dempster-Shafer theory and it results in weights telling for each points if it corresponds to a mobile object, a fixed object or if no decision can be made based on the data (unknown). These weights are projected in an image acquired simultaneously and used to segment the image between the mobile and the static part of the scene.

scholarly journals Method of Protecting Access to the Information Resource of a Mobile Object of Informatization Based on Navigation Key

2019 ◽  
Vol 17 (3) ◽  
pp. 33
Author(s):  
T. Z. Aralbaev ◽  
R. R. Galimov ◽  
E. V. Kameneva ◽  
A. Sh. Idrisov ◽  
A. S. Soldatov
Keyword(s):  
Information Resource ◽  
Mobile Object

Актуальность темы определяется широким развитием и применением мобильных вычислительных средств, использующихся для хранения и обработки конфиденциальных информационных ресурсов. Данная работа посвящена вопросам защиты информационных ресурсов в бортовой системе транспортных средств от несанкционированного доступа. Выявлены недостатки существующих подходов защиты подобных систем вследствие широких возможностей злоумышленников вне контролируемых зон воздействия как на средства защиты, так и на пользователей системы. В связи с этим предложен подход  защиты информационных ресурсов мобильных вычислительных средств, позволяющий получить доступ только в защищенных зонах. В статье разработана структурная модель многоуровневой системы защиты доступа к информационному ресурсу, включающая следующие уровни: физическую защиту, систему аутентификации, криптографическую и стеганографическую системы. Особенность данного метода заключается в том, что предлагается дополнить правила доступа к ресурсу данных подсистем контролем местоположения мобильного объекта информатизации. Это достигается за счет формирования ключей криптографической и стеганографической систем с учетом данных о географических координатах мобильного объекта. На основе данной модели разработано программное средство для защиты доступа к информационному ресурсу с учетом навигационного ключа, позволяющее повысить уровень защищенности мобильных объектов информатизации.

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