Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Peicheng Shi"'
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
Publikováno v:
World Electric Vehicle Journal, Vol 15, Iss 8, p 344 (2024)
Vehicle classification technology is one of the foundations in the field of automatic driving. With the development of deep learning technology, visual transformer structures based on attention mechanisms can represent global information quickly and
Externí odkaz:
https://doaj.org/article/7884893954f847ffab508caf4a097893
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
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 3, Pp 463-473 (2023)
Abstract Data augmentation is an important pre‐processing step for object detection in 2D image and 3D point clouds. However, studies on multimodal data augmentation are extremely limited compared to single‐modal work. Moreover, simultaneously en
Externí odkaz:
https://doaj.org/article/72dd0a6806674f86be2fdfed799dc012
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
Publikováno v:
SN Applied Sciences, Vol 4, Iss 12, Pp 1-12 (2022)
Abstract In order to improve the ability of intelligent vehicle to accurately recognize the semantics of the front vehicle, a new method of lamp signal recognition is proposed by combining deep learning with traditional computer vision. Firstly, the
Externí odkaz:
https://doaj.org/article/8d41a28cd5df4b52b55f1dcd740044cf
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
Publikováno v:
Technologies, Vol 11, Iss 2, p 47 (2023)
A lightweight network target detection algorithm was proposed, based on MobileNetv2_CA, focusing on the problem of high complexity, a large number of parameters, and the missed detection of small targets in the target detection network based on candi
Externí odkaz:
https://doaj.org/article/41a38c21fbff48e3b159f060f1708f63
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 2, p 34 (2023)
As position sensorless control technology can avoid many disadvantages caused by mechanical position sensors, improve the reliability of the motor, reduce costs and other advantages, a large number of researchers have conducted research on compound c
Externí odkaz:
https://doaj.org/article/7df5aa04384541a8a49fe262bf8180cb
Publikováno v:
Jixie chuandong, Vol 43, Pp 84-86 (2019)
A combined mechanism which can realize constant speed reciprocating motion of its follower is presented. The mechanism is composed of a pair of non-circular gears and a sine mechanism in series. When the driving gear rotates at the fixed speed, the c
Externí odkaz:
https://doaj.org/article/9b76e2b7f8ec4e128ecf237111192e5a