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Review of Tobacco Leaf Maturity Discrimination Algorithms Using Machine Vision

Journal of Engineering Science and Technology Review 2025年第1期18卷 27-38页

作者： Yang, Dongyue Zou, Mei Zhang, Hua Wang, Ruijuan Tao, and Baoquan Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang441053 China

As a key factor influencing the quality of tobacco production and a crucial indicator for assessing tobacco leaf quality, the recognition of tobacco leaf maturity has garnered significant attention from scholars. Integrating and advancing machine vision technologies in the discrimination of tobacco leaf maturity have made it feasible to apply machine vision in fully automated tobacco leaf harvesting processes. In this review, a comprehensive survey of the latest advancements on machine vision based algorithms for tobacco leaf maturity discrimination was presented, with a particular focus on feature engineering and classification algorithms. In terms of feature engineering, various image feature extraction techniques, analytical methods, and multi-feature fusion strategies for assessing tobacco leaf maturity were explored. These strategies included color and texture analysis, multispectral feature utilization, and advanced methods such as principal component analysis and information fusion. And a detailed discussion of the classification algorithms, spanning statistical recognition, machine learning and deep learning approaches was provided. By analyzing and comparing these existing methods, the study offered valuable insights into the advantages and limitations of various tobacco leaf maturity discrimination techniques. Results show that the accuracy of tobacco leaf maturity recognition using machine vision has reached an impressive 99.9%, establishing a significant milestone with clear practical application potential. Among the technologies applied, deep learning methods exhibit an absolute advantage, significantly outperforming traditional approaches in both feature engineering and classification methodologies. This comprehensive analysis summarizes current knowledge and points the way for future technological improvements and innovations. © (2025), (International Hellenic University School of Science and Technology). All rights reserved.

关键词： Machine vision

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Energy Management Strategy Based on Fast Dynamic Programming for Extender Range electric Logistics Vehicle

Energy Management Strategy Based on Fast Dynamic Programming...

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2024 SAE Intelligent and Connected Vehicles Symposium, ICVS 2024

作者： Wei, Changyin Wei, Yiyu Yang, Dinghao Wang, Yichen Liu, Dezheng Hubei Key Laboratory of Power System Design and Test for Ele China

The computational efficiency of dynamic programming (DP) energy management strategies is enhanced through the discretization of state variables in this study. The upper and lower bounds of SOC (State of Charge) and the SOC variation at each moment are calculated using the maximum and minimum power of the range extender, which eliminates invalid state combinations and significantly reduces the size of the feasible state set. To investigate the impact of different sampling intervals on SOC during various phases, intervals at 1s, 2s, 4s, 5s, and 10s are set for both charge retention and consumption phases. It is revealed that in the consumption phase, different sampling intervals minimally affect SOC, with trajectories closely matching. However, in the charge retention phase, the impact of different sampling intervals on SOC is significant, resulting in considerable differences in SOC trajectories. Additionally, in the charging-discharging (CD) phase, fuel consumption significantly varies with sampling intervals, decreasing as the interval increases. In contrast, during the charge storage (CS) phase, minor differences in fuel consumption are observed due to the larger power of the range extender. The DP computation time in the CD phase is substantially less than in the CS phase, primarily because the feasible domain in the CD phase is smaller. As sampling intervals decrease, computation time increases exponentially, characteristic of the DP algorithm. Sampling intervals are recommended to be increased in practical applications to balance computational accuracy and efficiency. This research provides an efficient computational approach for DP energy management strategies and uncovers the impact patterns of sampling intervals on SOC stability and fuel consumption, offering theoretical and practical guidance for the design of energy management strategies. © 2024 SAE International.

关键词： Fuel storage

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Improved vision-only localization method for mobile robots in indoor environments

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Autonomous Intelligent systems 2024年第1期4卷 153-165页

作者： Gang Huang Liangzhu Lu Yifan Zhang Gangfu Cao Zhe Zhou School of Automobile and Traffic Engineering Wuhan University of Science and TechnologyWuhan 430081China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053China

To solve the problem of mobile robots needing to adjust their pose for accurate operation after reaching the target point in the indoor environment,a localization method based on scene modeling and recognition has been ***,the offline scene model is created by both handcrafted feature and semantic ***,the scene recognition and location calculation are performed online based on the offline scene *** improve the accuracy of recognition and location calculation,this paper proposes a method that integrates both semantic features matching and handcrafted features *** on the results of scene recognition,the accurate location is obtained through metric calculation with 3D *** experimental results show that the accuracy of scene recognition is over 90%,and the average localization error is less than 1 *** results demonstrate that the localization has a better performance after using the proposed improved method.

关键词： Deep learning Mobile robot Scene recognition Visual localization

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Construction of Chiral One-dimensional Chains via Mononuclear Chiral Precursors and Circular Dichroism Properties

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Chinese Journal of Structural Chemistry 2021年第6期40卷 767-774,685页

作者： JU Hai-Yan YANG Ming ZHANG Gang LIU De-Zheng YANG Yong-Sheng ZHANG Yan-Bo School of Chemistry and Engineering Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Biomass Fibers and Eco-dyeing&Finishing Wuhan Textile UniversityWuhan 430073China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053China

One-dimensional(1D)chiral chain complexes[CuLSCu(Pydc)](2S)and[CuLRCu(Pydc)](2R)(LS=(E)-3-(((1S,2S)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propylidene)amono)-1,2-diphenyl)imino)-1-(4-(py-ridi-4-yl)phenyl)butan-1-one)and LR=(E)-3-(((1R,2R)-2-(((E)-3-oxo-3-(4-pyridin-4-yl)phenyl)propyli-dene)amono)-1,2-diphenyl)imino)-1-(4-(pyridi-4-yl)phenyl)butan-1-one and Pydc=2,6-pyridinedicarboxylic acid)have been synthesized vis mononuclear chiral enantiomer precursors CuLS(1S)and CuLR(1R).Their different chiral configurations of 1S,1R,2S and 2R were determined by single-crystal X-ray diffraction analyses and further characterized by elemental analyses,infrared spectra(IR),powder X-ray diffraction(PXRD),thermal gravimetric analyses(TGA)and circular dichroism spectra(CD).

关键词： mononuclear chiral precursors 1D chiral chain circular dichroism spectra

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Weighted registration of multiple trajectories of dynamic objects for online calibration of MMW radar and camera

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Measurement Science and Technology 2025年第6期36卷

作者： Huang, Gang Dong, Qinlei Cao, Huiling Chen, Zhenling Hu, Zhaozheng School of Automobile and Traffic Engineering Wuhan University of Science and Technology Wuhan430081 China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan430063 China Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Xiangyang441053 China

Multi-sensor fusion can improve the accuracy and reliability of information perception and is widely used in autonomous driving, smart AGVs, drones, and other intelligent agents. Considering the comprehensive efficiency and economy, the fusion of millimeter wave (MMW) radar and camera with complementary advantages is a potential solution in autonomous driving perception. The calibration flexibility of the two sensors determines the usability of the perception system. Unlike traditional offline calibration, dynamic calibration allows for flexible calibration using dynamic targets found in the environment. It can be applied when cumbersome offline calibration can not be performed or specific calibration templates are unavailable. The paper proposes dynamic calibration of MMW radar and camera by fusing trajectory constraints and multi-target (radar cross section) RCSs, On the one hand, trajectory constraints can preliminarily achieve the calibration of external parameters. On the other hand, introducing RCS can enhance the accurate tracking of target trajectories, enabling automated trajectory generation. By assigning higher calibration weights to trajectories with larger RCS values, both the calibration accuracy and the robustness of the entire perception system can be further improved. The selection of multiple targets ensures the wide applicability of the calibration results. RCS information reflects the signal-to-noise ratio of the target. Compared with existing traditional methods, this algorithm does not require dedicated calibration equipment. As targets are continuously acquired, more accurate calibration results can be iteratively refined. The algorithm offers high computational efficiency and good performance. Additionally, when sensors become loose while the vehicle is in operation, this algorithm can update the calibration results in conjunction with the system’s miscalibration detection mechanism, ensuring the long-term reliability of the entire system. Si

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Improvement of Binocular Reconstruction Algorithm for Measuring 3D Pavement Texture Using a Single Laser Line Scanning Constraint

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1951-1972页

作者： Yuanyuan Wang RuiWang Xiaofeng Ren Junan Lei Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang441053China School of Civil Engineering and Architecture Hubei University of Arts and ScienceXiangyang441053China Enterprise Technical Center Xiangyang Road&Bridge Construction Group Co.Ltd.Xiangyang441023China

The dense and accurate measurement of 3D texture is helpful in evaluating the pavement *** form dense mandatory constraints and improve matching accuracy,the traditional binocular reconstruction technology was improved ***,a single moving laser line was introduced to carry out global scanning constraints on the target,which would well overcome the difficulty of installing and recognizing excessive laser ***,four kinds of improved algorithms,namely,disparity replacement,superposition synthesis,subregion segmentation,and subregion segmentation centroid enhancement,were established based on different constraint ***,the improved binocular reconstruction test device was developed to realize the dual functions of 3D texture measurement and precision *** show that compared with traditional algorithms,the introduction of a single laser line scanning constraint is helpful in improving the measurement’s *** various improved algorithms,the improvement effect of the subregion segmentation centroid enhancement method is the *** has a good effect on both overall measurement and single pointmeasurement,which can be considered to be used in pavement function evaluation.

关键词： 3D pavement texture binocular reconstruction algorithm single laser line scanning constraint improved stereo matching

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Physics-based battery SOC estimation methods:Recent advances and future perspectives

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Journal of Energy Chemistry 2024年第2期89卷 27-40,I0003页

作者： Longxing Wu Zhiqiang Lyu Zebo Huang Chao Zhang Changyin Wei College of Mechanical Engineering Anhui Science and Technology UniversityChuzhou 233100AnhuiChina Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and ScienceXiangyang 441053HubeiChina School of Internet Anhui UniversityHefei 230039AnhuiChina School of Mechanical and Electrical Engineering Guilin University of Electronic TechnologyGuilin 541004GuangxiChina

The reliable prediction of state of charge(SOC)is one of the vital functions of advanced battery management system(BMS),which has great significance towards safe operation of electric *** far,the empirical model-based and data-driven-based SOC estimation methods of lithium-ion batteries have been comprehensively discussed and reviewed in various ***,few reviews involving SOC estimation focused on electrochemical mechanism,which gives physical explanations to SOC and becomes most attractive candidate for advanced *** this reason,this paper comprehensively surveys on physics-based SOC algorithms applied in advanced ***,the research progresses of physical SOC estimation methods for lithium-ion batteries are thoroughly discussed and corresponding evaluation criteria are carefully ***,future perspectives of the current researches on physics-based battery SOC estimation are *** insights stated in this paper are expected to catalyze the development and application of the physics-based advanced BMS algorithms.

关键词： Lithium-ion batteries State of charge electrochemical model Battery management system

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Near-field Acoustic Holography Using Compressive Sensing and Particle Velocity Measurement

Near-field Acoustic Holography Using Compressive Sensing and...

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第八届国际振动工程会议

作者： Wen-Qian Jing Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science

The conventional near-field acoustic holography（NAH） is restricted by the Nyquist criterion to acquire higher accuracy and resolution with a small amount of spatial sampling *** by the compressive sensing（CS） theory, sparse sampling of pressuresignals is applied to NAH to reduce the number of spatial sampling points but still provide a high-resolution reconstruction image. This paperisgoing toconsider the sparsity of particle velocity signalsand apply it to NAH. Due to the superior performance of the particle velocity overthepressure, the NAH based on the CS and the particle velocity measurement can be expected to be effective and show advantage over the existing sparse sampling ofpressuremethods. And the numerical simulation results confirmed the interesting expectation.

关键词： near-field acoustic holography compressive sensing particle velocity

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Fast road scenarios recognition of intelligent vehicles by image processing

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International Journal of Information and Communication Technology 2021年第1期18卷 1-15页

作者： Wu, Huawei Li, Yicheng Zhang, Jie Kuang, Yong Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang441053 China School of Automotive and Traffic Engineering Hubei University of Arts and Science Xiangyang441053 China Automotive Engineering Research Institute Jiangsu University Zhenjiang212013 China Cangzhou Medical College Cangzhou061001 China Dongfeng Xiangyang Touring Car Co. Ltd. China

Road scenarios recognition is a key point for intelligent vehicles (IVs) self-localisation. This paper proposes a fast road scenarios recognition method by image processing, which is based on a visual road model. First, a sequence of images is used to set up a visual road model. Second, we use the ORB method to encode both holistic and local features of a query image. Third, we extend the use of H-KNN to fuse ORB-encoded holistic and local features for road scenarios recognition. Real-world driving tests have been carried out in different routes scenarios. The total lengths of these routes are more than 5 km. The experiment results show that the proposed method achieved 80.2% image recognition rate, with about 18 ms in average for localisation from one image. The results demonstrate that the main method is promising in term of recognition accuracy and speed to develop low-cost recognition device for IVs. © 2021 Inderscience Enterprises Ltd.

关键词： Computer vision

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Fatigue Propagation Analysis of Crack Failure in High power IGBT Solder Based on Multiphysics Coupling Model and XFEM

Fatigue Propagation Analysis of Crack Failure in High Power ...

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IEEE Conference on electromagnetic Field Computation

作者： Jiashun Wang Haijun Zhang Bangwei Zhang Haifeng Kong Hubei Key Laboratory of Power System Design and Test for Electrical Vehicle Hubei University of Arts and Science Xiangyang China

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

IGBT is one of the most important power modules in the electric traction converter system. In the long-term operation of the converter system, the IGBT module will suffer from alternating thermal load, frequent vibration impact and other coupling effects, which will easily lead to the cracking of the solder layer and the change of material properties, and the aging and damage of the accelerator parts. In this paper, the thermal-mechanical coupling finite element analysis model is established, and the influence of temperature on material properties is considered. The crack damage and periodic fatigue propagation behavior of solder layer are analyzed. Based on the damage mechanics theory and Paris equation, the fatigue propagation characteristics of IGBT solder layer crack element under periodic coupling stress are studied by using the extended finite element method, and the coupling effects of transient temperature change and vibration impact load on the dynamic crack propagation and damage aging evolution of IGBT solder layer under the change of material properties caused by temperature are considered.

关键词： Couplings Insulated gate bipolar transistors Vibrations Temperature Fatigue Mathematical models Finite element analysis

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