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  1. No Access

    Chapter and Conference Paper

    The Vibration Analysis of Eco-Friendly Vehicle Based on the Electric Motor Excitation

    Using the Switched Reluctance Motor (SRM) as the excitation source, the authors established a five degree-freedom multi-body dynamics model of the eco-friendly electric vehicle on ADAMS software platform; give...

    Peicheng Shi, Yuan Shang in Proceedings of the FISITA 2012 World Automotive Congress (2013)

  2. No Access

    Chapter and Conference Paper

    Strength Analysis on Safety-Belt ISOFIX Anchorage for Vehicles Based on HyperWorks and Ls-Dyna

    We, per the national standard GB14167-2013 of the People’s Republic of China about strength test for ISOFIX anchorage on vehicle seats and taking a new vehicle seat product as research object with the finite e...

    Peicheng Shi, Suo Wang, ** **ao in Neural Information Processing (2017)

  3. No Access

    Chapter and Conference Paper

    Nonlinear Dynamic Modelling and Analysis for a High Contact Ratio Spur Gear Pair Considering the Meshing State of Multiple Pairs of Teeth

    The use of high contact ratio (HCR) gear is an important means to improve the comprehensive performance of transmission system. A meshing cycle of HCR gear can be divided into five stages, i.e., three pairs of...

    Rui Xu, **g Zhang, Jiugen Wang, Renjun Li, Peicheng Shi in Advances in Mechanical Design (2022)

  4. Article

    Open Access

    Research on intelligent vehicle lamp signal recognition in traffic scene

    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 traditiona...

    Peicheng Shi, Heng Qi, Zhiqiang Liu, Aixi Yang in SN Applied Sciences (2022)

  5. Article

    Open Access

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

    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 re...

    Rongyun Zhang, Yufeng Du, Peicheng Shi, Lifeng Zhao in Complex & Intelligent Systems (2023)

  6. Article

    Open Access

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

    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...

    Yufeng Du, Rongyun Zhang, Peicheng Shi in Chinese Journal of Mechanical Engineering (2024)

  7. No Access

    Article

    CenRadfusion: fusing image center detection and millimeter wave radar for 3D object detection

    The fusion of visual and millimeter-wave radar data has emerged as a prominent solution for precise 3D object detection. This paper focuses on the fusion of visual and mmWave radar information and presents an ...

    Peicheng Shi, Tong Jiang, Aixi Yang, Zhiqiang Liu in Signal, Image and Video Processing (2024)