On Automated Safety Distance Monitoring Methods by Stereo Cameras

Gorodnichev, M. G.; Dzhabrailov, Kh. A.; Polyantseva, K. A.; Gematudinov, R. A.

doi:10.1109/ieeeconf48371.2020.9078616

Cited by 20 publications

(2 citation statements)

References 3 publications

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“…Such "prisons within prisons" are separated from the outside world by concrete walls and fences with barbed wire through which current is passed, as well as a system of locks. Such institutions are equipped with individual cells with a shower and toilet with an area of 12 square meters (in ordinary prisons the standard size of cells for one person is 6.5 meters) [9,10].…”

Section: Discussionmentioning

confidence: 99%

Features of the design and construction of pre-trial detention centers in Russia, taking into account environmental standards

et al. 2020

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Pre-trial detention of persons accused of committing a criminal offense is an integral measure in the justice system of any state. In most countries, there are specialized institutions for maintenance of this category of citizens. In Russia, they are called pre-trial detention centers. Such institutions belong to the penitentiary systems. By isolating a potential offender, pre-trial detention centers perform several tasks: 1) exclude the possibility of persons to hide from the investigation and the court; 2) make it impossible for them to continue criminal activities; 3) maximally complicate their obstruction of establishment of truth in a criminal case. Implementation of these tasks is facilitated to the maximum extent by proper design and construction of pre-trial detention centers, competent placement of facilities, security buildings and premises, optimal use of special gratings, doors and locks. The article deals with the regulation of design and construction standards of pre-trial detention centers by Russian legislation. The authors analyze the experience of penitentiary systems of foreign states, as well as the norms in force in Russia, highlighting strengths and weaknesses. The actual double subordination is established in solving the current problem. On the one hand, the department executing the preliminary report, on the other, the department organizing and controlling design and construction of institutions executing preventive measure. Such inconsistency creates problems in practical application of provisions of existing norms, leads to errors and, as a result, inadequate performance of isolation of suspects and accused of committing crimes. Based on the results of the study, it was proposed to create a unified legal document regulating the procedure for design and construction of pre-trial detention centers. There is a need to exclude the listed issues from provisions of documents not related to design and construction sphere. This will provide proper, common understanding of existing problems and their faster resolution.

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Section: Discussionmentioning

confidence: 99%

Features of the design and construction of pre-trial detention centers in Russia, taking into account environmental standards

et al. 2020

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“…We also collected our own data set, which was collected by means of an installation mounted on a car (Figure 7) that drove through the streets of Moscow [33,34]. The result is a dataset consisting of 3000 images.…”

Section: Formation Of a Training Samplementioning

confidence: 99%

On the Problem of Restoring and Classifying a 3D Object in Creating a Simulator of a Realistic Urban Environment

Gorodnichev

Erokhin

Polyantseva

et al. 2022

Sensors

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Since the 20th century, a rapid process of motorization has begun. The main goal of researchers, engineers and technology companies is to increase the safety and optimality of the movement of vehicles, as well as to reduce the environmental damage caused by the automotive industry. The difficulty of managing traffic flows is that cars are driven by a person and their behavior, even in similar situations, is different and difficult to predict. To solve this problem, ground-based unmanned vehicles are increasingly being developed and implemented; however, like any other intelligent system, it is necessary to train different road scenarios. Currently, an engineer is driving an unmanned vehicle for training and thousands of kilometers are being driven for training. Of course, this approach to training unmanned vehicles is very long, and it is impossible to reproduce all the scenarios that can be found in real operations on a real road. Based on this, we offer a simulator of a realistic urban environment which allows you to reduce the training time and allows you to generate all kinds of events. To implement such a simulator, it is necessary to develop a method that would allow recreating a realistic world in one passage with cameras (monocular) installed on board the vehicle. Based on this, the purpose of this work is to develop an intelligent vehicle recognition system using convolutional neural networks, which allows you to create mesh objects for further placement in the simulator. It is important to note that the resulting objects should be optimal in size so as not to overload the system, since a large number of road infrastructure objects are stored there. Also, neural complexity should not be excessive. In this paper, the general concept and classification of convolutional neural networks are given, which allow solving the problem of recognizing 3D objects in images. Based on the analysis, the existing neural network architectures do not solve the problems mentioned above. In this connection, the authors first of all carried out the design of the system according to the methodology of modeling business processes, and also modified and developed the architecture of the neural network, which allows classifying objects with sufficient accuracy, obtaining optimized mesh objects and reducing computational complexity. The methods proposed in this paper are used in a simulator of a realistic urban environment, which reduces the time and computational costs when training unmanned transport systems.

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