Explanipedia

Numerical Analysis of Temperature Rise Characteristics of Parallel Serpentine Channel Lithium Battery Modules Open

Hailong Zhu, Peicheng Shi, Xinlong Dong, Bin Hai · 2025

With the widespread application of lithium-ion battery energy storage systems and electric vehicle power batteries, optimizing liquid cooling systems to effectively manage heat and prevent thermal runaway has become crucial for enhancing t…

Dual-Priority Delayed Deep Double Q-Network (DPD3QN): A Dueling Double Deep Q-Network with Dual-Priority Experience Replay for Autonomous Driving Behavior Decision-Making Open

Shuai Cheng Li, Peicheng Shi, Aixi Yang, Heng Qi, Xinlong Dong · 2025

The behavior decision control of autonomous vehicles is a critical aspect of advancing autonomous driving technology. However, current behavior decision algorithms based on deep reinforcement learning still face several challenges, such as…

MPVF: Multi-Modal 3D Object Detection Algorithm with Pointwise and Voxelwise Fusion Open

Peicheng Shi, Wenchao Wu, Aixi Yang · 2025

3D object detection plays a pivotal role in achieving accurate environmental perception, particularly in complex traffic scenarios where single-modal detection methods often fail to meet precision requirements. This highlights the necessit…

Research Progress on Thermal Runaway Warning Methods and Fire Extinguishing Technologies for Lithium-Ion Batteries Open

Peicheng Shi, Hailong Zhu, Xinlong Dong, Bin Hai · 2025

Lithium-ion batteries (LIBs), valued for their high energy density, long lifespan, and low environmental impact, are widely used in electric vehicles (EVs) and energy storage. However, increased energy density has exacerbated thermal runaw…

Research Progress on Multi-Modal Fusion Object Detection Algorithms for Autonomous Driving: A Review Open

Peicheng Shi, Yang Li, Xinlong Dong, Heng Qi, Aixi Yang · 2025

Unsupervised Monocular Depth Estimation with Edge Enhancement for Dynamic Scenes Open

Peicheng Shi, Yueyue Tang, Yi Li, Xinlong Dong, Yu Sun , et al. · 2025

A Review of Research on Longitudinal Control of Intelligent Vehicles Based on Drive/Brake by Wire Open

Peicheng Shi, Xinyu Qian, Chakir Chadia, Yu Sun, Taonian Liang , et al. · 2024

In recent years, with the rapid innovation of science and technology, wire control technology, as a key technology, has achieved the transmission control of vehicles through the form of “electrical signals”, which has become an important f…

Att-BEVFusion: An Object Detection Algorithm for Camera and LiDAR Fusion Under BEV Features Open

Peicheng Shi, Mengru Zhou, Xinlong Dong, Aixi Yang · 2024

To improve the accuracy of detecting small and long-distance objects while self-driving cars are in motion, in this paper, we propose a 3D object detection method, Att-BEVFusion, which fuses camera and LiDAR data in a bird’s-eye view (BEV)…

Vehicle Classification Algorithm Based on Improved Vision Transformer Open

Xinlong Dong, Peicheng Shi, Yueyue Tang, Li Yang, Aixi Yang , et al. · 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 q…

CL-fusionBEV: 3D object detection method with camera-LiDAR fusion in Bird’s Eye View Open

Peicheng Shi, Zhiqiang Liu, Xinlong Dong, Aixi Yang · 2024

In the wave of research on autonomous driving, 3D object detection from the Bird’s Eye View (BEV) perspective has emerged as a pivotal area of focus. The essence of this challenge is the effective fusion of camera and LiDAR data into the B…

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

Yufeng Du, Rongyun Zhang, Peicheng Shi, Linfeng Zhao, Bin Zhang , et al. · 2024

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 prop…

Research Progress on Bev Perception Algorithms for Autonomous Driving：A Review Open

Peicheng Shi, Xinlong Dong, Aixi Yang, Heng Qi · 2024

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

Haoran Li, Rongyun Zhang, Peicheng Shi, Ye Mei, Kunming Zheng , et al. · 2023

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 r…

Traffic Sign Detection Based on the Improved YOLOv5 Open

Rongyun Zhang, Kunming Zheng, Peicheng Shi, Ye Mei, Haoran Li , et al. · 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 …

Finite element modeling of electric vehicle power battery pack and its influence analysis and test research at body-in-white stage Open

Kefei Wang, Peicheng Shi, Zhendong Zhang · 2023

Compared with the design of traditional fuel vehicles, the design of electric vehicles has its uniqueness, consisting mainly in that the body design must be able to adapt to the new power system and its layout. Power battery pack is an imp…

Mobilenetv2_CA Lightweight Object Detection Network in Autonomous Driving Open

Peicheng Shi, Long Li, Heng Qi, Aixi Yang · 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 bas…

A Review of Position Sensorless Compound Control for PMSM Drives Open

Yong Li, Han Hu, Peicheng Shi · 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…

D-S Augmentation: Density-Semantics Augmentation for 3-D Object Detection Open

Zhiqiang Liu, Peicheng Shi, Heng Qi, Aixi Yang · 2023

Cameras and light detection and ranging (LiDAR) sensors are commonly used together in autonomous vehicles to provide rich color and texture information and information on the location of objects, respectively. However, fusing image and poi…

Object Detection Based on Swin Deformable Transformer‐BiPAFPN‐YOLOX Open

Peicheng Shi, Xinhe Chen, Heng Qi, Chenghui Zhang, Zhi-Qiang Liu · 2023

Object detection technology plays a crucial role in people’s everyday lives, as well as enterprise production and modern national defense. Most current object detection networks, such as YOLOX, employ convolutional neural networks instead …

MFF-Net: Multimodal Feature Fusion Network for 3D Object Detection Open

Peicheng Shi, Zhi-Qiang Liu, Heng Qi, Aixi Yang · 2023

In complex traffic environment scenarios, it is very important for autonomous vehicles to accurately perceive the dynamic information of other vehicles around the vehicle in advance. The accuracy of 3D object detection will be affected by …

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

Rongyun Zhang, Yufeng Du, Peicheng Shi, Lifeng Zhao, Yaming Liu , et al. · 2022

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…

3D Vehicle Detection Algorithm Based on Multimodal Decision-Level Fusion Open

Peicheng Shi, Heng Qi, Zhi-Qiang Liu, Aixi Yang · 2022

3D vehicle detection based on LiDAR-camera fusion is becoming an emerging research topic in autonomous driving. The algorithm based on the Camera-LiDAR object candidate fusion method (CLOCs) is currently considered to be a more effective d…

Research on intelligent vehicle lamp signal recognition in traffic scene Open

Peicheng Shi, Heng Qi, Zhiqiang Liu, Aixi Yang · 2022

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, th…

Context‐guided ground truth sampling for multi‐modality data augmentation in autonomous driving Open

Peicheng Shi, Heng Qi, Zhi-Qiang Liu, Aixi Yang · 2022

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 ensu…

TSF: Two-Stage Sequential Fusion for 3D Object Detection Open

Heng Qi, Peicheng Shi, Zhiqiang Liu, Aixi Yang · 2022

There have been significant advances in 3D object detection using LiDAR and camera fusion for autonomous driving. However, it is surprisingly difficult to effectively design fusion location and fusion strategies for point cloud-based 3D ob…

Integrated design of the torsion beam electric driving axle Open

Peicheng Shi, Kangji Liu, Kehang Shi · 2022

In view of the problems in the use of wheel side drive system, torsion beam type electric driving axle is proposed for the solution. First, with the vehicle parameters of a certain electric vehicle as a sample, the torsion beam driving axl…

Intelligent Vehicle Path Tracking Control Based on Improved MPC and Hybrid PID Open

Peicheng Shi, Long Li, Xuan Ni, Aixi Yang · 2022

In this study, to improve the accuracy of path tracking in intelligent vehicles, we propose an intelligent vehicle path-tracking control method based on improved model predictive control (MPC) combined with hybrid proportional-integral-der…

Electric Vehicle State Parameter Estimation Based on DICI-GFCKF Open

Rongyun Zhang, Yaming Liu, Peicheng Shi, Linfeng Zhao, Yufeng Du , et al. · 2022

To improve the estimation accuracy of the state parameters of distributed electric vehicles, a double inverse covariance intersection generalized fifth-order cubature Kalman filter (DICI-GFCKF) es-timation algorithm is proposed. Based on t…

Design and simulation of shear-tension spring-type quasi-zero stiffness isolator Open

Peicheng Shi, Jianfeng Yang, Jing Li, Ping Xiao · 2020

By connecting the linear compression spring (positive stiffness mechanism) in parallel with the tension spring (negative stiffness mechanism) and using the shear lever mechanism to amplify the motion of the negative stiffness mechanism, a …

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

Peicheng Shi, Wang Chen, Rongyun Zhang, Suo Wang · 2019

Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed ba…

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