scholarly journals Preface

2021 ◽  
Vol 2061 (1) ◽  
pp. 011001

Abstract International Conference “Actual Issues of Mechanical Engineering-2021” was held at Admiral Ushakov Maritime State University (Novorossiysk, Russia) on 15-16 June, 2021. Because of the restrictions associated with the COVID-19 pandemic, it was decided to hold the conference online. The traditional 15-minute time limit on speeches was preserved. The attendance for virtual participants without the report and without the opportunity to participate in discussion with the voice was free of charge. However, all participants could take their part in the discussion via moderators. AIME 2021 became one of the largest virtual platforms in Russia, where prospects for autonomous transport were discussed. The conference was devoted to the most topical issues of mechanical engineering, namely the design and research of engines and the creation of autonomous transport and intelligent transport systems. Researchers from the leading Russian marine and automotive universities and scientific organizations took part in the conference: Admiral Ushakov Maritime State University (Novorossiysk), Admiral Makarov State University of Maritime and Inland Shipping (Saint-Petersburg), Moscow Automobile and Road Construction State Technical University (Moscow), Central scientific research automobile and automotive engine institute “NAMI” (Moscow). List of Programme Committee, Organizational Committee are available in this pdf.

2019 ◽  
Vol 70 (3) ◽  
pp. 214-224
Author(s):  
Bui Ngoc Dung ◽  
Manh Dzung Lai ◽  
Tran Vu Hieu ◽  
Nguyen Binh T. H.

Video surveillance is emerging research field of intelligent transport systems. This paper presents some techniques which use machine learning and computer vision in vehicles detection and tracking. Firstly the machine learning approaches using Haar-like features and Ada-Boost algorithm for vehicle detection are presented. Secondly approaches to detect vehicles using the background subtraction method based on Gaussian Mixture Model and to track vehicles using optical flow and multiple Kalman filters were given. The method takes advantages of distinguish and tracking multiple vehicles individually. The experimental results demonstrate high accurately of the method.


2020 ◽  
Vol 70 (3) ◽  
pp. 64-71
Author(s):  
A.S. BODROV ◽  
◽  
M.V. KULEV ◽  
D.S. DEVYATINA ◽  
O.A. LOBYNTSEVA ◽  
...  

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