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The Electromagnetic Scattering by Buried Complex Objects
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作者 Lu Shu, Chang Mei & Xu Penggen Dept. of Radio Physics, Wuhan University, 430072, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 1997年第4期17-22,共6页
The solution of scattering problem of buried complex bodies needs to not only consider the scattering from the complex bodies, but also apply the boundary conditions in two different types of coordinate systems. This ... The solution of scattering problem of buried complex bodies needs to not only consider the scattering from the complex bodies, but also apply the boundary conditions in two different types of coordinate systems. This paper applies the conversion technique of vector wave functions combined with the three-dimensional unimoment method to effectively solve this type of complex electromagnetic problem. Using the conversion relations between the cylindrical and spherical vector wave functions, two types of boundary-value problems are conveniently jointed. Both the vector wave function expansion and the multipole expansion belong to eigen function expansion methods and have the same convergence rate. But the former is more rigorous in theory and needs to calculate only two types of eigen components while the latter needs to calculate four types. 展开更多
关键词 EM scattering Buried complex object Unimoment method.
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Concurrency Control Mechanism of Complex Objects
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作者 徐庆云 王能斌 《Journal of Computer Science & Technology》 SCIE EI CSCD 1992年第4期305-310,共6页
A complex object is an abstraction and description of a complex entity of the real world. Many applications in such domains as CIMS, CAD and OA define and manipulate a complex object as a single unit. In this paper, a... A complex object is an abstraction and description of a complex entity of the real world. Many applications in such domains as CIMS, CAD and OA define and manipulate a complex object as a single unit. In this paper, a definition of the model of complex objects is given, and the concurrency control mechanism of complex objects in WHYMX object-oriented database system is described. 展开更多
关键词 MODE IX Concurrency Control Mechanism of complex objects
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A Deductive Database Approach for Complex Objects
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作者 陈其明 《Journal of Computer Science & Technology》 SCIE EI CSCD 1990年第3期225-235,共11页
A deductive database approach for complex objects reasoning is proposed,which is characterized by handling predicates nesting in terms of mapping hierarchically structured rules and facts to a flattened Horn-clause im... A deductive database approach for complex objects reasoning is proposed,which is characterized by handling predicates nesting in terms of mapping hierarchically structured rules and facts to a flattened Horn-clause implementation scheme. 展开更多
关键词 RLC LPT A Deductive Database Approach for complex objects
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3D shape measurement of larger complex objects based on fringe cycle correction
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作者 伏燕军 杨杰 +1 位作者 王志刚 吴海涛 《Chinese Optics Letters》 SCIE EI CAS CSCD 2014年第12期42-47,共6页
The grating fringe on the reference plane is broadened in the intersecting axis system because of oblique-angle projection. In order to solve this problem, we study the theoretical model of the temporal phase unwrappi... The grating fringe on the reference plane is broadened in the intersecting axis system because of oblique-angle projection. In order to solve this problem, we study the theoretical model of the temporal phase unwrapping method based on the fringe cycle correction. We also study the 3D shape measurement theoretical model of the larger complex objects after considering the coordinate deviation and lens distortion. Experimental results demonstrate that the fringe cycle on the reference plane can be corrected to a constant value, the lens distortion can be corrected, and 3D shape of larger complex objects can be accurately measured. 展开更多
关键词 shape measurement of larger complex objects based on fringe cycle correction CYCLE CCD
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Improved Multi-objective Ant Colony Optimization Algorithm and Its Application in Complex Reasoning 被引量:3
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作者 WANG Xinqing ZHAO Yang +2 位作者 WANG Dong ZHU Huijie ZHANG Qing 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2013年第5期1031-1040,共10页
The problem of fault reasoning has aroused great concern in scientific and engineering fields.However,fault investigation and reasoning of complex system is not a simple reasoning decision-making problem.It has become... The problem of fault reasoning has aroused great concern in scientific and engineering fields.However,fault investigation and reasoning of complex system is not a simple reasoning decision-making problem.It has become a typical multi-constraint and multi-objective reticulate optimization decision-making problem under many influencing factors and constraints.So far,little research has been carried out in this field.This paper transforms the fault reasoning problem of complex system into a paths-searching problem starting from known symptoms to fault causes.Three optimization objectives are considered simultaneously: maximum probability of average fault,maximum average importance,and minimum average complexity of test.Under the constraints of both known symptoms and the causal relationship among different components,a multi-objective optimization mathematical model is set up,taking minimizing cost of fault reasoning as the target function.Since the problem is non-deterministic polynomial-hard(NP-hard),a modified multi-objective ant colony algorithm is proposed,in which a reachability matrix is set up to constrain the feasible search nodes of the ants and a new pseudo-random-proportional rule and a pheromone adjustment mechinism are constructed to balance conflicts between the optimization objectives.At last,a Pareto optimal set is acquired.Evaluation functions based on validity and tendency of reasoning paths are defined to optimize noninferior set,through which the final fault causes can be identified according to decision-making demands,thus realize fault reasoning of the multi-constraint and multi-objective complex system.Reasoning results demonstrate that the improved multi-objective ant colony optimization(IMACO) can realize reasoning and locating fault positions precisely by solving the multi-objective fault diagnosis model,which provides a new method to solve the problem of multi-constraint and multi-objective fault diagnosis and reasoning of complex system. 展开更多
关键词 fault reasoning ant colony algorithm Pareto set multi-objective optimization complex system
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3D reconstruction of complex curved objects from line drawings
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作者 Sun Yanling Dong Lijun 《Computer Aided Drafting,Design and Manufacturing》 2016年第2期13-17,共5页
An active research topic in computer vision and graphics is developing algorithms that can reconstruct the 3D surface of curved objects from line drawings. There are a number of algorithms have been dedicated to solve... An active research topic in computer vision and graphics is developing algorithms that can reconstruct the 3D surface of curved objects from line drawings. There are a number of algorithms have been dedicated to solve this problem, but they can't solve this problem when the geometric structure of a curved object becomes complex. This paper proposes a novel approach to reconstructing a complex curved 3D object from single 2D line drawings. Our approach has three steps: (1) decomposing a complex line drawing into several simpler line drawings and transforming them into polyhedron; (2) reconstructing the 3D wireframe of curved object from these simpler line drawings and generating the curved faces; (3) combining the 3D objects into the complete objects. A number of examples are given to demonstrate the ability of our approach to successfully perform reconstruction of curved objects which are more complex than previous methods. 展开更多
关键词 3D reconstruction line drawings complex curved objects
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A man-made object detection algorithm based on contour complexity evaluation 被引量:2
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作者 Guili XU Zhengbing WANG +2 位作者 Yuehua CHENG Yupeng TIAN Chao ZHANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2017年第6期1931-1957,共27页
Man-made object detection is of great significance in both military and civil areas, such as search-and-rescue missions at sea, traffic signs recognition during visual navigation, and targets location in a military st... Man-made object detection is of great significance in both military and civil areas, such as search-and-rescue missions at sea, traffic signs recognition during visual navigation, and targets location in a military strike. Contours of man-made objects usually consist of straight lines, corner points, and simple curves. Motivated by this observation, a man-made object detection method is proposed based on complexity evaluation of object contours. After salient contours which keep the crucial information of objects are accurately extracted using an improved mean-shift clustering algorithm, a novel approach is presented to evaluate the complexity of contours. By comparing the entropy values of contours before/after sampling and linear interpolation, it is easy to distinguish between man-made objects and natural ones according to the complexity of their contours.Experimental results show that the presented method can effectively detect man-made objects when compared to the existing ones. 展开更多
关键词 complexity evaluation Contour chain code Contour detection Man-made object detection Salient contour
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Tracking of Non-Rigid Object in Complex Wavelet Domain
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作者 Om Prakash Ashish Khare 《Journal of Signal and Information Processing》 2011年第2期105-111,共7页
In this paper we have proposed an object tracking method using Dual Tree Complex Wavelet Transform (DTCxWT). The proposed method is capable of tracking the moving object in video sequences. The object is assumed to be... In this paper we have proposed an object tracking method using Dual Tree Complex Wavelet Transform (DTCxWT). The proposed method is capable of tracking the moving object in video sequences. The object is assumed to be deform-able under limit i.e. it may change its shape from one frame to another. The basic idea in the proposed method is to decompose the image into two components: a two dimensional motion and a two dimensional shape change. The motion component is factored out while the shape is explicitly represented by storing a sequence of two dimensional models. Each model corresponds to each image frame. The proposed method performs well when the change in the shape in the consecutive frames is small however the 2-D motion in consecutive frames may be large. The proposed algorithm is capable of handling the partial as well as full occlusion of the object. 展开更多
关键词 object TRACKING Dual TREE complex WAVELET TRANSFORM Model Based TRACKING BIORTHOGONAL FILTERS
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OBJECT ORIENTED DATA MODELLING WITH APPLICATIONS TO CAD
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作者 应维云 傅向阳 周儒荣 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1996年第2期69+63-68,共7页
An object oriented data modelling in computer aided design (CAD) databases is focused. Starting with the discussion of data modelling requirements for CAD applications, appropriate data modelling features are introdu... An object oriented data modelling in computer aided design (CAD) databases is focused. Starting with the discussion of data modelling requirements for CAD applications, appropriate data modelling features are introduced herewith. A feasible approach to select the “best” data model for an application is to analyze the data which has to be stored in the database. A data model is appropriate for modelling a given task if the information of the application environment can be easily mapped to the data model. Thus, the involved data are analyzed and then object oriented data model appropriate for CAD applications are derived. Based on the reviewed object oriented techniques applied in CAD, object oriented data modelling in CAD is addressed in details. At last 3D geometrical data models and implementation of their data model using the object oriented method are presented. 展开更多
关键词 computer aided design DATABASES data models object oriented data models complex objects geometrical models
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基于改进YOLOv11n的复杂场景下行人检测模型
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作者 刘伟 时薇 +3 位作者 杨淼 王井阳 黄敏 杨琳 《河北科技大学学报》 北大核心 2026年第1期60-72,共13页
针对由于光照、角度、背景干扰及行人目标太小等复杂场景的影响会导致行人检测精度下降,容易出现误检或漏检等问题,提出了一种基于改进YOLOv11n的行人检测模型YOLOv11-CREP。首先,引入由Conv卷积和空间深度转化卷积(space-to-depth conv... 针对由于光照、角度、背景干扰及行人目标太小等复杂场景的影响会导致行人检测精度下降,容易出现误检或漏检等问题,提出了一种基于改进YOLOv11n的行人检测模型YOLOv11-CREP。首先,引入由Conv卷积和空间深度转化卷积(space-to-depth convolution,SPDConv)融合形成的CSPDConv,使模型减少信息的丢失并增强对重要细节的提取;其次,给出RepNCSPELAN4-GC模块(其利用幽灵卷积GhostConv对RepNCSPELAN4进行改进,以减少RepNCSPELAN4模块的参数量),并用改进后的RepNCSPELAN4-GC模块来替换Neck层部分C3k2模块;再次,将高效多尺度注意力(efficient multi-scale attention,EMAttention)和并行网络注意力(parallel network attention,ParNetAttention)融合成新的EMPAttention注意力模块,以增强模型对小目标行人的检测能力;最后,针对小目标行人和遮挡目标的特性,新增小目标检测头P2来增强模型对小目标的识别能力。结果表明:YOLOv11-CREP与原始的YOLOv11n模型相比,平均精度(mean average precision,mAP)在IoU阈值0.5时提升4.6个百分点,达到95.3%;在IoU阈值范围为0.5~0.95时提升9.0个百分点,达到70.2%。所提模型兼顾高检测性能和实时性要求,有效提升了复杂场景下的行人检测性能,为行人检测任务建模提供了参考。 展开更多
关键词 计算机图像处理 YOLOv11n 行人检测 复杂场景 注意力机制 小目标检测
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多视角贴近摄影测量技术在复杂地貌实景三维建模中的应用
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作者 陈荣 《科技创新与生产力》 2026年第1期150-152,共3页
传统地形、地质调查依赖人工拍照和正射影像,存在工作量大、成本高、空间维度低等问题;倾斜摄影测量技术能多角度采集地面影像,克服传统航测视角局限,但仍然存在传统航线飞行方式不适用于复杂地貌等问题。为了解决以上问题,结合实际工... 传统地形、地质调查依赖人工拍照和正射影像,存在工作量大、成本高、空间维度低等问题;倾斜摄影测量技术能多角度采集地面影像,克服传统航测视角局限,但仍然存在传统航线飞行方式不适用于复杂地貌等问题。为了解决以上问题,结合实际工程案例,应用多视角贴近摄影测量技术进行复杂地貌实景三维建模,并基于实景三维模型进行定量分析和定性分析。研究结果表明,本文方法能够有效提高复杂地形模型精度。 展开更多
关键词 倾斜摄影测量 贴近摄影测量 复杂地貌 实景三维建模 定量分析
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基于多目标优化的复杂热电联产系统运行规划
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作者 陈坚红 王国雲 +2 位作者 左克清 张洪坤 鲍彦克 《浙江大学学报(工学版)》 北大核心 2026年第1期148-157,共10页
热电厂的扩建、改造和升级显著增加了热电联产系统在机组数量、种类及性能劣化程度等方面的复杂性.针对复杂热电联产系统的运行规划,综合考虑机组在实际运行过程中的启停状态、爬坡速率等影响因素,构建基于能效、㶲、经济、环境等的多目... 热电厂的扩建、改造和升级显著增加了热电联产系统在机组数量、种类及性能劣化程度等方面的复杂性.针对复杂热电联产系统的运行规划,综合考虑机组在实际运行过程中的启停状态、爬坡速率等影响因素,构建基于能效、㶲、经济、环境等的多目标优化模型.引入熵权法客观地分配各目标的权重,将多目标优化问题转化为单目标优化问题;采用动态规划算法进行求解,确保最优解的确定性和客观性.以某热电厂的复杂热电联产系统为例,随机选取24 h的热电负荷需求进行运行规划和计算分析,并将优化结果与原设计方案进行对比,结果表明优化计算后运行成本降低了7.96万元/d.所提模型能够有效地提升复杂热电联产系统运行的经济性与可靠性. 展开更多
关键词 复杂热电联产系统 多目标优化 运行规划 熵权法 动态规划法
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正反问无定形式宾语的准入条件
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作者 郑娜 朱庆祥 《汉语学报》 北大核心 2026年第1期61-75,共15页
正反问宾语通常是有定的,但通过调查实际语料发现,正反问宾语在一定条件下存在无定形式,这些无定形式并非正反问无定宾语的真正反例。这要考虑复杂定语和动词本身性质特征两个影响因素:复杂无定形式NP充当正反问句宾语主要由于内部修饰... 正反问宾语通常是有定的,但通过调查实际语料发现,正反问宾语在一定条件下存在无定形式,这些无定形式并非正反问无定宾语的真正反例。这要考虑复杂定语和动词本身性质特征两个影响因素:复杂无定形式NP充当正反问句宾语主要由于内部修饰语的作用,改变了其无定倾向;典型无定形式NP主要从不同动词语义特征出发进行描写解释。复杂定语和动词性质实质反映了信息性质不同。 展开更多
关键词 正反问 无定形式宾语 复杂修饰语 判断动词
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改进型YOLOv8及其水下和雾天目标检测
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作者 易锌鑫 张著洪 《计算机工程与设计》 北大核心 2026年第1期29-37,共9页
鉴于水下、雾天场景下目标检测易出现漏检、误检、定位差、目标检测准确率低等问题,提出一种基于YOLOv8的改进型目标检测模型IYOLOv8。模型设计中,经构建双骨干特征提取网络增强主干网络的特征提取能力;引入动态上采样提高特征图的利用... 鉴于水下、雾天场景下目标检测易出现漏检、误检、定位差、目标检测准确率低等问题,提出一种基于YOLOv8的改进型目标检测模型IYOLOv8。模型设计中,经构建双骨干特征提取网络增强主干网络的特征提取能力;引入动态上采样提高特征图的利用效率;结合倒置残差移动和高效多尺度注意力,设计处理长距离信息的CIE模块;借助改进损失函数提高边界框回归的性能;利用知识蒸馏提升目标检测的准确率。比较性的实验结果表明,IYOLOv8在目标检测的性能方面具有明显优势。 展开更多
关键词 双骨干网络 知识蒸馏 动态上采样 复杂场景 视频目标检测 YOLOv8 注意力机制
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复杂背景下基于YOLO-insulator模型的绝缘子小目标缺陷检测研究
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作者 董朋林 陈久朋 +2 位作者 王森 伞红军 胡宏伟 《电力科学与技术学报》 北大核心 2026年第1期262-276,共15页
基于计算机视觉的航拍绝缘子缺陷检测方法被广泛应用于电力巡检。针对绝缘子缺陷易受背景复杂、目标尺度较小等因素的影响而导致漏检、误检的问题,提出了一种旨在提高绝缘子缺陷检测精度的绝缘子缺陷检测模型YOLO-insulator。首先,引入... 基于计算机视觉的航拍绝缘子缺陷检测方法被广泛应用于电力巡检。针对绝缘子缺陷易受背景复杂、目标尺度较小等因素的影响而导致漏检、误检的问题,提出了一种旨在提高绝缘子缺陷检测精度的绝缘子缺陷检测模型YOLO-insulator。首先,引入基于通道混洗的重参数化卷积(reparameterized convolution based on channel shuffle-one-shot aggregation, RCS-OSA)替换传统的二维卷积C2f,以增强网络的特征提取能力;其次,在颈部网络使用RCS-OSA模块替换部分的C2f卷积,同时引入挤压激励网络(squeeze and excitation network,SENet),以增强模型对通道间关系的捕捉和整体特征的表达能力;最后,针对多种缺陷区域小导致难以检测的问题,提出小目标检测层方法,该层包含更多的缺陷细节信息,有利于缺陷的检测。在自制绝缘子数据集上进行实验验证的结果表明,相对于基线YOLOv8n,YOLO-insulator模型在查准率、召回率、平均精度均值上都实现了提升,有效提高了模型的综合性能。 展开更多
关键词 绝缘子缺陷检测 复杂背景 注意力机制 挤压激励 小目标检测层
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基于改进蜣螂优化算法的仿生机器人路径规划
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作者 李国玄 王文博 吴盈盈 《农业装备与车辆工程》 2026年第1期105-110,共6页
针对仿生机器人路径规划效率低、精度不足的问题,提出一种多策略改进的蜣螂优化(Baseline Chaotic Lévyflight Dynamic Ball-rolling Dung Beetle Optimizer,BCLDBO)算法。该算法引入自适应扰动与动态步长策略,平衡了全局探索与局... 针对仿生机器人路径规划效率低、精度不足的问题,提出一种多策略改进的蜣螂优化(Baseline Chaotic Lévyflight Dynamic Ball-rolling Dung Beetle Optimizer,BCLDBO)算法。该算法引入自适应扰动与动态步长策略,平衡了全局探索与局部收敛能力;同时,通过协同因子优化多机器人路径的时空协同性,减少冲突。实验结果表明,BCLDBO算法在收敛速度与全局搜索能力方面均显著优于原始蜣螂优化(Dung Beetle Optimizer,DBO)算法,能够有效生成安全、平滑且高效的移动路径,并具有良好的避免陷入局部最优的能力。 展开更多
关键词 多策略 蜣螂优化算法 多目标优化 复杂环境
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复杂光照条件下的不安全驾驶行为检测
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作者 刘权捷 顾兆一 王春源 《计算机应用》 北大核心 2026年第2期613-619,共7页
为了在各种复杂光照条件下实时有效检测驾驶人员不系安全带和看手机等不安全行为,设计一种基于深度学习的复杂光照下不安全驾驶行为检测方法。该方法以YOLOv8n模型作为基础,实施一系列针对性的改进措施,以提升检测性能。首先,增加P6尺度... 为了在各种复杂光照条件下实时有效检测驾驶人员不系安全带和看手机等不安全行为,设计一种基于深度学习的复杂光照下不安全驾驶行为检测方法。该方法以YOLOv8n模型作为基础,实施一系列针对性的改进措施,以提升检测性能。首先,增加P6尺度,使模型能更全面地捕捉各种光照下不安全驾驶行为的多样性;其次,使用空间可分离自适应卷积(SSAC)模块替换主干网络的传统卷积模块,从而在提高特征提取精度的同时实现轻量化;再次,引入通道先验卷积注意力(CPCA),有效增强网络对重要特征的关注,并提升特征的表达能力;最后,使用选择注意特征融合(SAFF)结构替换原有YOLOv8n颈部网络,进一步提升模型的综合性能。实验结果表明,相较于原模型,改进后的YOLOv8n模型整体的平均精度均值(mAP)提升了2.17%;在正常光照条件下提升了1.76%;在夜间场景下提升了1.75%;在逆光环境下提升了2.42%。同时,改进后的YOLOv8n在与其他模型(如YOLO11n和RT-DETR(Real-Time DEtection TRansformer))的对比中,每秒帧数(FPS)达到118,精度与速度兼顾,展现出较明显的优势。 展开更多
关键词 改进YOLOv8 不安全驾驶行为检测 深度学习 目标检测算法 复杂光照条件
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基于深度学习的轨道异物侵限智能识别方法
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作者 张羽 王碧君 《机电工程技术》 2026年第1期164-169,201,共7页
针对大型高铁站房复杂施工环境中常面临的异物侵限问题,提出了一种基于改进YOLO算法的营业线风险源智能识别方法。在主干网络中对原模型最后一个C2f结构引入DCNv2卷积,提升模型在面对多尺度画面输入时的特征提取感受能力。基于原金字塔... 针对大型高铁站房复杂施工环境中常面临的异物侵限问题,提出了一种基于改进YOLO算法的营业线风险源智能识别方法。在主干网络中对原模型最后一个C2f结构引入DCNv2卷积,提升模型在面对多尺度画面输入时的特征提取感受能力。基于原金字塔池化结构,引入SPPF-LSKA结构进一步加强主干网络对特征信息的提取能力,并有效提升了对小尺寸目标的检测能力。通过更为轻量化、更为高效的上采样器DySample替换掉原算法中最邻近插值的上采样方法,更好地保留上采样后特征图的细节和边缘信息,以达到提升在密集型预测任务中准确率的目的。为解决训练过程中样本质量不均衡的问题,采用WIoU代替原算法中的CIoU,以提升网络的边界框回归性能。相较于YOLOv8,该方法的准确率和精度分别提升了4.7%和4.3%,使得模型性能得到显著改进。 展开更多
关键词 轨道安全 异物侵限 复杂环境 深度学习 YOLOv8
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高速铁路复杂地形条件下选线设计研究
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作者 李岳汶 《全面腐蚀控制》 2026年第1期226-229,共4页
复杂地形具有地质条件复杂,地形起伏剧烈,环境敏感性强等特征,对传统高速铁路选线方法提出严峻挑战。通过系统研究复杂地形下选线设计的基本理论,深入分析山区,丘陵等典型地形的选线关键技术,建立多目标优化决策模型。研究表明,基于地... 复杂地形具有地质条件复杂,地形起伏剧烈,环境敏感性强等特征,对传统高速铁路选线方法提出严峻挑战。通过系统研究复杂地形下选线设计的基本理论,深入分析山区,丘陵等典型地形的选线关键技术,建立多目标优化决策模型。研究表明,基于地形适应性原则的选线理论,结合先进勘察技术和智能优化算法,能够有效解决复杂地形选线难题,以贵南高铁为例验证方法的实用性,为类似工程提供重要参考。 展开更多
关键词 高速铁路 复杂地形 选线设计 多目标优化 智能算法
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基于改进YOLOv8n的苹果采摘机器人识别算法研究
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作者 门晓龙 何义川 +3 位作者 汤智辉 刘湛 潘思祺 姚欢杰 《智能化农业装备学报(中英文)》 2026年第1期52-62,共11页
针对果园内枝叶遮挡、光照不均等复杂环境因素导致采摘机器人对苹果的检测精度低、鲁棒性差等问题。研究提出一种改进YOLOv8n网络轻量化模型的苹果检测算法,旨在提升复杂场景下果实检测的准确性与可靠性。首先,在主干网络末端加入多尺... 针对果园内枝叶遮挡、光照不均等复杂环境因素导致采摘机器人对苹果的检测精度低、鲁棒性差等问题。研究提出一种改进YOLOv8n网络轻量化模型的苹果检测算法,旨在提升复杂场景下果实检测的准确性与可靠性。首先,在主干网络末端加入多尺度位置注意力机制(multi-scale position-channel attention,MPCA),通过对不同尺度下苹果位置信息的精准捕捉,增强模型对目标位置特征的感知能力,有效降低复杂果园环境对检测结果的干扰;其次,在颈部网络中引入“FocusFeature”特征融合模块,借助多尺度深度可分离卷积实现信息融合与特征增强,提升模型的检测能力。最后,将损失函数CIoU替换为WIoUv3,依据预测框与真实框的匹配质量,动态调整样本在损失计算中的权重,有效提升了模型的定位精度。试验表明,改进模型在复杂果园环境下精确率达92.2%、召回率86.4%,mAP@0.5与mAP@[0.5:0.95]分别为94.4%、72.4%,相较原始算法提升3.4%、6%、3.9%、2.8%。消融试验显示,WIoUv3、MPCA、FocusFeature特征融合模块分别使mAP@0.5提升0.3%、0.9%、1.1%,多模块协同实现性能叠加。模型大小为6.69 MB,较原始模型仅增加0.74 MB,未显著增加计算负载。与YOLOv5n、YOLOv7-tiny、YOLOv11n等主流算法相比,改进模型在精确率上分别提高3.9%、7.6%、5.7%,mAP@[0.5:0.95]指标分别提升2.5%、9.9%、13%,在检测精度与泛化能力方面展现出显著优势。可见,提出的改进YOLOv8n算法通过多模块协同作用,显著提升了复杂果园环境下苹果检测的精度与鲁棒性,为采摘机器人的实际应用提供了有效技术方案,对推动苹果采收智能化发展具有重要意义。 展开更多
关键词 YOLOv8n 采摘机器人 目标检测 轻量化 模型改进 复杂果园环境
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