Výsledky vyhledávání - "Rongyun Zhang"

Akademický článek

ST-LaneNet: Lane Line Detection Method Based on Swin Transformer and LaneNet

Autor: Yufeng Du, Rongyun Zhang, Peicheng Shi, Linfeng Zhao, Bin Zhang, Yaming Liu

Publikováno v: Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-16 (2024)

Abstract The advancement of autonomous driving heavily relies on the ability to accurate lane lines detection. As deep learning and computer vision technologies evolve, a variety of deep learning-based methods for lane line detection have been propos

Externí odkaz: https://doaj.org/article/34745d9667234d89b37ae982668052b6

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Akademický článek

Sensorless control of a PMSM based on an RBF neural network-optimized ADRC and SGHCKF-STF algorithm

Autor: Haoran Li, Rongyun Zhang, Peicheng Shi, Ye Mei, Kunming Zheng, Tian Qiu

Publikováno v: Measurement + Control, Vol 57 (2024)

For the problem of the rotor position estimation and control accuracy of permanent magnet synchronous motor (PMSM), this paper proposes a PMSM sensorless based on radial basis function (RBF) neural network optimized Automatic disturbance rejection co

Externí odkaz: https://doaj.org/article/44c232ceba464edeb62411de275a70cc

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Akademický článek

ST-MAE: robust lane detection in continuous multi-frame driving scenes based on a deep hybrid network

Autor: Rongyun Zhang, Yufeng Du, Peicheng Shi, Lifeng Zhao, Yaming Liu, Haoran Li

Publikováno v: Complex & Intelligent Systems, Vol 9, Iss 5, Pp 4837-4855 (2022)

Abstract Lane detection is one of the key techniques to realize advanced driving assistance and automatic driving. However, lane detection networks based on deep learning have significant shortcomings. The detection results are often unsatisfactory w

Externí odkaz: https://doaj.org/article/2d94c6a5b779466e849e76c01336eb0e

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Akademický článek

Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

Autor: Peicheng, Shi, Chen, Wang, Rongyun, Zhang, Suo, Wang

Publikováno v: Science Progress (1933-), 2020 Jan 01. 103(1), 1-23.

Externí odkaz: https://www.jstor.org/stable/27154969

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Akademický článek

Estimation of state parameters and road adhesion coefficients for distributed drive electric vehicles based on a strong tracking SCKF.

Autor: Rongyun, Zhang, Bin, Zhang, Peicheng, Shi, Linfeng, Zhao, Yongle, Feng, Yaming, Liu

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering (Sage Publications, Ltd.); May2024, Vol. 238 Issue 6, p1571-1588, 18p

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Akademický článek

Traffic Sign Detection Based on the Improved YOLOv5

Autor: Rongyun Zhang, Kunming Zheng, Peicheng Shi, Ye Mei, Haoran Li, Tian Qiu

Publikováno v: Applied Sciences, Vol 13, Iss 17, p 9748 (2023)

With the advancement of intelligent driving technology, researchers are paying more and more attention to the identification of traffic signs. Although a detection method of traffic signs based on color or shape can achieve recognition of large categ

Externí odkaz: https://doaj.org/article/c76ea99c5a1344e0bc74ba591745754f

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Akademický článek

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Autor: Rongjie Zhai, Ping Xiao, Rongyun Zhang, Jinyong Ju

Publikováno v: Advances in Mechanical Engineering, Vol 14 (2022)

Aiming to more accurately control the wheel speed of an electric vehicle (EV) driven by four in-wheel motors, a developed whale optimization algorithm-proportional–integral–derivative (KW-WOA-PID) control algorithm is proposed herein. In this stu

Externí odkaz: https://doaj.org/article/1722af964f4e4b609bd8a32ad33e4db2

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