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Computer vision tasks for intelligent aerospace perception: An overview

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Science China(Technological Sciences) 2024年第9期67卷 2727-2748页

作者： CHEN HuiLin sun qiyu LI FangFei TANG Yang School of Information Science and Engineering East China University of Science and TechnologyShanghai 200237China School of Mathematics East China University of Science and TechnologyShanghai 200237China

Computer vision tasks are crucial for aerospace missions as they help spacecraft to understand and interpret the space environment,such as estimating position and orientation, reconstructing 3D models, and recognizing objects, which have been extensively studied to successfully carry out the missions. However, traditional methods like Kalman filtering, structure from motion, and multi-view stereo are not robust enough to handle harsh conditions, leading to unreliable results. In recent years, deep learning(DL)-based perception technologies have shown great potential and outperformed traditional methods, especially in terms of their robustness to changing environments. To further advance DL-based aerospace perception, various frameworks, datasets,and strategies have been proposed, indicating significant potential for future applications. In this survey, we aim to explore the promising techniques used in perception tasks and emphasize the importance of DL-based aerospace perception. We begin by providing an overview of aerospace perception, including classical space programs developed in recent years, commonly used sensors, and traditional perception methods. Subsequently, we delve into three fundamental perception tasks in aerospace missions: pose estimation, 3D reconstruction, and recognition, as they are basic and crucial for subsequent decision-making and control. Finally, we discuss the limitations and possibilities in current research and provide an outlook on future developments,including the challenges of working with limited datasets, the need for improved algorithms, and the potential benefits of multisource information fusion.

关键词： deep learning perception aerospace missions pose estimation 3D reconstruction recognition

Visual Semantic Segmentation Based on Few/Zero-Shot Learning:An Overview

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1106-1126页

作者： Wenqi Ren Yang Tang qiyu sun Chaoqiang Zhao Qing-Long Han Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China National Key Laboratory of Air-Based Information Perception and Fusion Aviation Industry Corporation of ChinaLuoyang 471000China School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia

Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block,and it plays a crucial role in environmental *** learning-based visual semantic segmentation approaches count heavily on largescale training data with dense annotations and consistently fail to estimate accurate semantic labels for unseen *** obstruction spurs a craze for studying visual semantic segmentation with the assistance of few/zero-shot *** emergence and rapid progress of few/zero-shot visual semantic segmentation make it possible to learn unseen categories from a few labeled or even zero-labeled samples,which advances the extension to practical ***,this paper focuses on the recently published few/zero-shot visual semantic segmentation methods varying from 2D to 3D space and explores the commonalities and discrepancies of technical settlements under different segmentation ***,the preliminaries on few/zeroshot visual semantic segmentation,including the problem definitions,typical datasets,and technical remedies,are briefly reviewed and ***,three typical instantiations are involved to uncover the interactions of few/zero-shot learning with visual semantic segmentation,including image semantic segmentation,video object segmentation,and 3D ***,the future challenges of few/zero-shot visual semantic segmentation are discussed.

关键词： Visual segmentation separating

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失语症患者语言能力评估路径

外语与外语教学 2024年第4期 50-59+148页

作者：常辉孙奇玉朱正才上海交通大学国家语言与健康研究中心

失语症是由于与语言功能相关的脑组织发生器质性改变而导致的语言系统损伤和交流障碍，最常见的是脑中风后失语。对失语症患者语言能力的评估是失语症研究的重要内容，也是对失语症开展康复治疗的基础和依据。本文首先介绍国内外常用的... 详细信息

失语症是由于与语言功能相关的脑组织发生器质性改变而导致的语言系统损伤和交流障碍，最常见的是脑中风后失语。对失语症患者语言能力的评估是失语症研究的重要内容，也是对失语症开展康复治疗的基础和依据。本文首先介绍国内外常用的失语症患者语言能力评估工具；然后，从失语症患者语言能力评估的两条路径，即语言的表征和功能，对现有的失语症患者语言能力评估工具进行剖析；最后，论文深入分析现有的失语症患者语言能力评估工具存在的问题，并系统阐述解决思路。

关键词：失语症语言能力评估

HPV感染患者病耻感研究工具及影响因素的研究现状

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智慧健康 2024年第8期10卷 29-34页

作者：孙奇玉侯丹辽宁中医药大学辽宁沈阳110847

本文阐述了病耻感的概念和HPV感染患者病耻感的测量工具,并从一般人口学因素、医疗相关因素、疾病相关因素、社会因素等方面分析了HPV感染患者病耻感的影响因素,旨在为国内进一步开展HPV感染患者病耻感的相关研究,推进新研究工具的研究... 详细信息

本文阐述了病耻感的概念和HPV感染患者病耻感的测量工具,并从一般人口学因素、医疗相关因素、疾病相关因素、社会因素等方面分析了HPV感染患者病耻感的影响因素,旨在为国内进一步开展HPV感染患者病耻感的相关研究,推进新研究工具的研究编制和新干预方案的启动实施提供借鉴和理论支持。

关键词： HPV 病耻感研究工具影响因素研究现状

Monocular depth estimation based on deep learning: An overview

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Science China(Technological Sciences) 2020年第9期63卷 1612-1627页

作者： ZHAO ChaoQiang sun qiyu ZHANG ChongZhen TANG Yang QIAN Feng Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237China

Depth information is important for autonomous systems to perceive environments and estimate their own state. Traditional depth estimation methods, like structure from motion and stereo vision matching, are built on feature correspondences of multiple viewpoints. Meanwhile, the predicted depth maps are sparse. Inferring depth information from a single image(monocular depth estimation) is an ill-posed problem. With the rapid development of deep neural networks, monocular depth estimation based on deep learning has been widely studied recently and achieved promising performance in accuracy. Meanwhile, dense depth maps are estimated from single images by deep neural networks in an end-to-end manner. In order to improve the accuracy of depth estimation, different kinds of network frameworks, loss functions and training strategies are proposed subsequently. Therefore, we survey the current monocular depth estimation methods based on deep learning in this review. Initially, we conclude several widely used datasets and evaluation indicators in deep learning-based depth estimation. Furthermore, we review some representative existing methods according to different training manners: supervised, unsupervised and semi-supervised. Finally, we discuss the challenges and provide some ideas for future researches in monocular depth estimation.

关键词： autonomous systems monocular depth estimation deep learning unsupervised learning

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview

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胰岛素样生长因子-1对心肌细胞缺氧损伤的保护作用及机制

自动化学报（英文版） 2024年第5期 1106页

作者： Wenqi Ren Yang Tang qiyu sun Chaoqiang Zhao Qing-Long Han

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国际检验医学杂志 2024年第19期45卷 2323-2328页

作者：薛婷匀李广妹赵佳叶孙启天孙启玉承德医学院附属医院检验科/河北省泛血管重点实验室河北承德067000 承德医学院附属医院内分泌科河北承德067000

目的探讨胰岛素样生长因子-1(IGF-1)预处理对H9c2大鼠心肌细胞缺氧损伤的保护作用,并分析其机制。方法将H9c2细胞随机分成4组,对照组、缺氧组(CoCl2组)、缺氧+IGF-1预处理组(CoCl2+IGF-1组)、缺氧+IGF-1预处理+磷脂酰肌醇3激酶(PI3K)/... 详细信息

目的探讨胰岛素样生长因子-1(IGF-1)预处理对H9c2大鼠心肌细胞缺氧损伤的保护作用,并分析其机制。方法将H9c2细胞随机分成4组,对照组、缺氧组(CoCl2组)、缺氧+IGF-1预处理组(CoCl2+IGF-1组)、缺氧+IGF-1预处理+磷脂酰肌醇3激酶(PI3K)/蛋白激酶B(Akt)通路特异性抑制剂LY294002组(CoCl2+IGF-1+LY294002组)。分别采用CCK8法检测H9c2细胞存活率,Tunel法检测H9c2细胞的凋亡情况,DCFH-DA探针法检测各组H9c2细胞的活性氧(ROS)水平,试剂盒检测细胞超氧化物歧化酶(SOD)、培养基上清乳酸脱氢酶(LDH)活性,酶联免疫吸附试验(ELISA)检测细胞谷胱甘肽过氧化物酶(GSH-Px)及培养基上清丙二醛(MDA)水平,蛋白质印迹法检测H9c2细胞促凋亡蛋白B细胞淋巴瘤2(Bcl-2)关联X蛋白(Bax)、半胱氨酸天冬氨酸蛋白酶3(Caspase-3),抗凋亡蛋白Bcl-2及通路蛋白Akt、磷酸化Akt(p-Akt)表达情况。结果IGF-1能增加细胞活力(P<0.05),降低细胞凋亡率(P<0.05),降低ROS水平(P<0.05),减少MDA产生(P<0.05),降低LDH活性(P<0.05),增加SOD与GSH-Px活性(P<0.05),促进p-Akt表达(P<0.05),减少促凋亡蛋白Bax、Caspase-3表达(P<0.05),增加抗凋亡蛋白Bcl-2表达(P<0.05)。加入PI3K通路特异性阻滞剂LY294002后,IGF-1对缺氧H9c2细胞保护作用消失。结论IGF-1保护心肌细胞免受缺氧造成的损伤,机制是通过激活PI3K/Akt通路抑制心肌细胞氧化应激与凋亡,提高心肌细胞存活率。

关键词：胰岛素样生长因子-1 缺氧氧化应激凋亡磷脂酰肌醇3激酶/蛋白激酶B通路

A COMPACTLY SUPPORTED ORTHONORMALWAVELETOFNON－TENSORTYPE

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Applied Mathematics(A Journal of Chinese Universities) 1996年第2期11卷 243-246页

作者： qiyu sun Yanzhang Zheng

ＡＣＯＭＰＡＣＴＬＹＳＵＰＰＯＲＴＥＤＯＲＴＨＯＮＯＲＭＡＬＷＡＶＥＬＥＴＯＦＮＯＮ－ＴＥＮＳＯＲＴＹＰＥ＊ＳＵＮＱＩＹＵＡＮＤＺＨＥＮＧＹＡＮＺＨＡＮＧＡｂｓｔｒａｃｔ．Ｉｎｔｈｉｓｎｏｔｅｗｅｃｏｎｓｔｒｕｃｔａ... 详细信息

ＡＣＯＭＰＡＣＴＬＹＳＵＰＰＯＲＴＥＤＯＲＴＨＯＮＯＲＭＡＬＷＡＶＥＬＥＴＯＦＮＯＮ－ＴＥＮＳＯＲＴＹＰＥ＊ＳＵＮＱＩＹＵＡＮＤＺＨＥＮＧＹＡＮＺＨＡＮＧＡｂｓｔｒａｃｔ．Ｉｎｔｈｉｓｎｏｔｅｗｅｃｏｎｓｔｒｕｃｔａｎｅｘａｍｐｌｅｏｆｃｏｍｐａｃｔ...

关键词： 1991 MR Subject Classification 42C15

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综掘面新型分风器粉尘运移规律仿真模拟研究

煤炭技术 2024年第5期43卷 160-164页

作者：秦清河孙祺钰倪权王培贝国家能源集团神东煤炭公司大柳塔煤矿陕西榆林719000 山东科技大学安全与环境工程学院山东青岛266590

针对综掘面高浓度粉尘污染问题,提出了一种新型压风筒分风技术,构建了风流-粉尘两相耦合数学模型,探究了不同通风条件分风器对粉尘污染影响规律。结果表明:风流分风比越大,迎头粉尘控制效果越好,但过大分风比会导致迎头区域粉尘浓度过高... 详细信息

针对综掘面高浓度粉尘污染问题,提出了一种新型压风筒分风技术,构建了风流-粉尘两相耦合数学模型,探究了不同通风条件分风器对粉尘污染影响规律。结果表明:风流分风比越大,迎头粉尘控制效果越好,但过大分风比会导致迎头区域粉尘浓度过高;在压风筒分风比为8∶2的条件下,压抽比增大会减弱控尘效果,但当压抽比增加到1.0以上时,高浓度粉尘区随着压抽比的增大而减小;当压风量580 m^(3)/min、抽风量390 m^(3)/min且分风比8∶2时,可将粉尘抑制在迎头6 m范围内。通过大柳塔煤矿现场实测验证,粉尘浓度平均误差为10.71%。为综掘面粉尘治理提供了一种新策略。

关键词：综掘工作面粉尘污染数值模拟分风器压抽比