scholarly journals Adaptive Frame of Universal Vehicle Course

2020 ◽  
Vol 14 (1) ◽  
pp. 194-203
Author(s):  
A. Asemkhanuly ◽  
Zh. Niyazova ◽  
A. Karpov ◽  
R. Ustemirova ◽  
A. Kainarbekov

Background: Motor vehicles play an important role in the economies of many countries, providing efficient means of transporting goods and people. These vehicles can also have significant impacts on safety, infrastructure and the environment. Methods: The design of the suspension affects the vehicle's performance, in terms of the drive, damage to infrastructure, the working space of the suspension, power, and stability against overturning, stability against yaw, braking, and traction. Results: The article considers the types and methods of application of adaptive suspensions of modern vehicles, justifies the feasibility of their use for various vehicles, such as modern cars, tractors, etc., which allows the usage of these vehicles for traffic in different road conditions - mountainous terrains with a slope of more than 35o, steppe off-road conditions with frontal obstacles up to half the length of the wheel radius. Conclusion: The existing control schemes and prospects for their further development can be improved and intelligent transport systems could be introduced.

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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