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2020 International Conference on Communications, Information System and Software Engineering, CISSE 2020

作者： Yang, Hu Xiaoyong, Zhang Di, Xiao Beijing Information Science and Technology University Automated institute Beijing China Beijing Key Laboratory of High Dynamic Navigation Technology Beijing China Key Laboratory of Modern Measurement and Control Technology Beijing China

The perception of human behavior that is different from normal has always been a common concern in many fields. The widespread use of smartphones makes it possible to obtain a large amount of user activities at fine spatial scales. In this context, this article first systematically summarizes the research on human behavior patterns in the era of mobile phone big data. Although the current research has made certain research progress, there are certain limitations in data source selection and activity semantic analysis. Then it focuses on the relevant research on the perception of abnormal events by mobile phone positioning big data, including the research progress in abnormal event early warning and emergency response, and believes that there is more room for development in related research. The analysis of these studies provides reference value for handling similar emergencies in the future, especially for post-disaster emergency response and resource allocation. It provides strong theoretical support. © 2021 Journal of Physics: Conference Series.

关键词： Big data

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Research on the Cushioning Effect of Protective Materials under High Impact 6

Research on the Cushioning Effect of Protective Materials un...

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2020 6th International Forum on Engineering Materials and Manufacturing technology, IFEMMT 2020

作者： Chen, Runfeng Sui, Li Liu, Qiang Qiu, Qiangqiang Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China Northwest Industries Group Co. Ltd. Xi'an China

Aiming at the protection of the internal components of the projectile during penetration, the cushion performance of common protective materials such as polyurethane, felt, polytetrafluoroethylene (PTFE), and copper were tested. The test results show that the copper and felt have a certain cushioning effect, which can reduce the acceleration amplitude of 23,000 g by 18% and extend the pulse width of acceleration overload. The cushioning effect of PTFE material is not obvious, but it can play a role in mechanical filtering, making the acceleration curve smoother. Polyurethane material will increase the acceleration amplitude of the buffered part, it is not suitable as a buffer material. © Published under licence by IOP Publishing Ltd.

关键词： Copper

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Research on UAV Detection technology of Gm-APD Lidar Based on YOLO Model

Research on UAV Detection Technology of Gm-APD Lidar Based o...

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2021 IEEE International Conference on Unmanned Systems, ICUS 2021

作者： DIng, Yuanxue Qu, Yanchen Zhang, Qing Tong, Jiahui Yang, Xianhui Sun, Jianfeng Harbin Institute of Technology National Key Laboratory of Science and Technology on Tunable Laser Institution of Opto-Electronics Harbin China Beijing Electromechanical Engineering Institute Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9780738146577

In recent years, unmanned aerial vehicle (UAV) technology has developed rapidly, which plays an important role in both military and civil fields. While it brings convenience to all walks of life, there are also a lot of security problems. Therefore, it is necessary to study anti-UAV technology, but the detection of UAV is an important basis of anti-UAV technology. In this paper, by combining the three-dimensional range profile collected by Gm-APD (Geiger mode Avalanche Photo Diode) lidar with the deep learning method, a UAV detection method based on the improved YOLOv3 (You Only Look Once v3) network is proposed. Firstly, the data of UAV in low altitude real scene is collected by Gm-APD lidar, and range profile information is generated. Then, the YOLOv3 network is improved, and the SPP module can be added to combine the local features of the target with the global features to improve the detection accuracy. It is suitable for the detection of UAVs. Finally, the trajectory of the UAV is drawn based on the distance information. The experimental results show that the improved method can effectively detect UAV targets, and is better than the previous method, YOLOv3-Tiny method and YOLOv4 method. The farthest detection distance is 238m, the detection speed is fast, and the purpose of real-time detection and positioning can be achieved. Therefore, this method can be applied to anti-UAV technology and has important research significance. © 2021 IEEE.

关键词： Optical radar

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A Benchmark and Frequency Compression Method for Infrared Few-Shot Object Detection

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IEEE Transactions on Geoscience and Remote Sensing 2025年 63卷

作者： Zhang, Ruiheng Yang, Biwen Xu, Lixin Huang, Yan Xu, Xiaofeng Zhang, Qi Jiang, Zhizhuo Liu, Yu Beijing Institute of Technology State Key Laboratory of Electromechanical Dynamic Control Beijing100081 China University of Technology Sydney School of Electrical and Data Engineering UltimoNSW2007 Australia Anhui Polytechnic University School of Computer and Information Wuhan241000 China Technical University of Munich Data Science in Earth Observation Munich85521 Germany Tsinghua University Shenzhen International Graduate School Shenzhen518055 China Tsinghua University Department of Electronic Engineering Beijing100084 China

Infrared few-shot object detection (IFSOD) aims to detect infrared objects with limited labeled examples. Current infrared datasets, however, suffer from limited diversity in object types and classes, hindering robust evaluation of model generalization on novel classes. To systematically assess dataset quality, we propose metrics for class diversity, instance variability, and object density. By integrating three widely used infrared datasets, we construct the first dataset specifically tailored for IFSOD, increasing instance density to 4.8 (a 1.1 improvement) and expanding the number of classes to 18 (a 5-class increase) compared to the source datasets. Furthermore, frequency analysis of spatial features reveals that sparse annotations introduce spectral bias in the frequency domain. Directly transforming spatial features to the frequency domain, however, mixes background noise with object features, causing spectral leakage and impairing the learning of discriminative features for novel classes. To address these issues, we propose the frequency compression few-shot detection (FC-fsd) method, which incorporates a frequency compression (FC) module. The FC module leverages Discrete Cosine Transform (DCT) within localized windows to reduce spectral leakage and enhance feature clarity. With minimal additional computational overhead, FC-fsd significantly outperforms state-of-the-art methods, achieving nAP50 scores of 28.57 (+13.37) and 35.63 (+2.59) in 1-shot and 2-shot settings, respectively. Our dataset is published at https://***/RuihengZhang/IFSOD-dataset. © 2025 IEEE.

关键词： Zero-shot learning

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CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles

arXiv

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arXiv 2025年

作者： Milojevic, Dejan Zardini, Gioele Elser, Miriam Censi, Andrea Frazzoli, Emilio Institute for Dynamic Systems and Control ETH Zürich Zurich Switzerland Chemical Energy Carriers and Vehicle Systems Laboratory Empa - Swiss Federal Laboratories for Materials Science and Technology Dübendorf Switzerland Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA United States

This paper discusses the integration challenges and strategies for designing mobile robots, by focusing on the task-driven, optimal selection of hardware and software to balance safety, efficiency, and minimal usage of resources such as costs, energy, computational requirements, and weight. We emphasize the interplay between perception and motion planning in decision-making by introducing the concept of occupancy queries to quantify the perception requirements for sampling-based motion planners. Sensor and algorithm performance are evaluated using False Negative Rate (FNR) and False Positive Rate (FPR) across various factors such as geometric relationships, object properties, sensor resolution, and environmental conditions. By integrating perception requirements with perception performance, an Integer Linear Programming (ILP) approach is proposed for efficient sensor and algorithm selection and placement. This forms the basis for a co-design optimization that includes the robot body, motion planner, perception pipeline, and computing unit. We refer to this framework for solving the co-design problem of mobile robots as CODEI, short for Co-design of Embodied Intelligence. A case study on developing an Autonomous Vehicle (AV) for urban scenarios provides actionable information for designers, and shows that complex tasks escalate resource demands, with task performance affecting choices of the autonomy stack. The study demonstrates that resource prioritization influences sensor choice: cameras are preferred for cost-effective and lightweight designs, while lidar sensors are chosen for better energy and computational efficiency. Copyright © 2025, The Authors. All rights reserved.

关键词： Motion planning

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Event-Based Dissipative Path Following control for Autonomous Ground Vehicles With External Disturbances and Actuator Faults

IEEE Transactions on Intelligent Vehicles

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IEEE Transactions on Intelligent Vehicles 2024年 1-10页

作者： Li, Wenfeng Wong, Pak Kin Xie, Zhengchao Gao, Jinwu Hu, Yunfeng Zhao, Jing School of Mechanical Engineering and Automation Northeastern University Shenyang China Department of Electromechanical Engineering University of Macau Macau China Department of Mechanical Engineering South China University of Technology Guangzhou China State Key Laboratory of Automotive Simulation and Control Department of Control Science and Engineering Jilin University Changchun China

In this paper, a novel event-based dissipative fuzzy control method is proposed for path following systems of autonomous ground vehicles subject to external disturbances and actuator faults. As the varying longitudinal velocity causes highly nonlinearities in the path following systems, a Takagi-Sugeno fuzzy vehicle dynamics model is established for controller design. Moreover, the time delay, multiple actuator faults and external disturbances are fully considered in the modeling of vehicle dynamic systems. For the improvement of path following performance, a dissipative performance index is employed in the controller design to strengthen the reliability of the control method. To achieve a better economization of the limited resource, an enhanced adaptive event-triggered mechanism is introduced into the controller design. Based on an augmented Lyapunov-Krasovskii functional candidate, a less conservative theorem is obtained by employing some extended integral inequalities. The theorem guarantees that the resulted fuzzy path following control system meets the strict dissipative performance on the premise of asymptotic stability. Finally, experimental results validate the superiority of the proposed method. IEEE

关键词： Linear matrix inequalities

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Unsupervised Feature Selection with self-Weighted and ℓ2,0-Norm Constraint

Unsupervised Feature Selection with self-Weighted and ℓ2,0-...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yongjin Yuan Zheng Wang Feiping Nie Xuelong Li School of Computer Science Northwestern Polytechnical University Xi’an P.R. China School of Artificial Intelligence OPtics and ElectroNics(iOPEN) Northwestern Polytechnical University Xi’an P.R. China Key Laboratory of Intelligent Interaction and Applications (Northwestern Polytechnical University) Ministry of Industry and Information Technology Xi’an P. R. China Science and Technology on Electromechanical Dynamic Control Laboratory China

At data mining field, it is a fundamental problem to dispose of high-dimensional data. Many existing unsupervised methods select features by manifold learning or exploring spectral analysis, thus preserving the intrinsic structure of raw data. But most of them follow an assumption that all features are equally importance. To settle this problem, we draw a novel feature selection module that simultaneously performs learning of feature weights matrix, similarity graph structure and projection matrix, so that the local structure after feature weighting and subspace sparse projection is received. Finally, we solve the model based on ℓ 2,0 -norm directly by an iterative optimization algorithm and demonstrate the feasibility and effectiveness of our approach via extensive experiments.

关键词： Signal processing algorithms Signal processing Feature extraction Iterative algorithms Entropy Manifold learning Sparse matrices

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Fuze Echo Recognition Based on Improved V-G Convolutional Neural Network

Fuze Echo Recognition Based on Improved V-G Convolutional Ne...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Dengdian Huang Bo Tian Tie Li Yali Hou Science and Technology on Electromechanical Dyamic Control Laboratory XityCountry

ISBN: (纸本)9781665418133

In order to solve the problem that it is difficult for the traditional fuse target recognition algorithm to recognize the object with the same size as the target under the condition of ground object coupling and low signal-to-noise ratio, the V-G convolution neural network is used for Fuse echo The improved V-G convolution neural network is used in this method, and the data of laser and radio fuse missile target rendezvous is used as The improved V-G convolution neural network is used in this method, and the data of laser and radio fuse missile target rendezvous is used as the training library to identify the targets outside the library and classify the targets inside the library. The simulation results show that the recognition accuracy is more than 95%, and the fuse echo recognition can be carried out efficiently.

关键词： Training Missiles Fuses Target recognition Convolution Neural networks Lasers

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Design of dual band millimeter wave beam shaped array antenna

Design of dual band millimeter wave beam shaped array antenn...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Rui-hu Wen Wei Chen Xue-qi Cao Jing-ya Wang Lan-jie Niu Meng-xin Ma Science and Technology on Electromechanical Dynamic Control Laboratory Xi'anChina710065 Xi'an Institute of Electromechanical Information Technology Xi'an China Shaanxi Applied Physics and Chemistry Rescarch Insittute Xi'an China

ISBN: (纸本)9781665418133

Aiming at the requirement of dual-channel dual-band millimeter wave for high-frequency radio fuze determination, a miniaturized dual-band microstrip beam-shaped array antenna which consists of six patch radiation units and microstrip feed network is designed. Independent adjustment of the two working frequency bands can be achieved by adjusting the size of the patch and the length of the slot.

关键词： Technical requirements Microstrip antenna arrays Antenna theory Surface waves Shape Dielectric substrates Dual band

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

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第42届中国控制会议

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Shenzhen Research Institute Southeast University School of Artificial Intelligence and Automation Huazhong University of Science and Technology Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators,a composite iterative learning control(ILC) scheme via generalized proportional integral observer(GPIO) is proposed.A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics,parameter uncertainties and load fluctuations.A GPIO is then designed to estimate the disturbances and high-order time *** introducing estimations into a PD-type ILC at each iteration,a composite control scheme is obtained,such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of *** this paper,the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to *** effectiveness of the proposed control scheme is finally verified by simulation results.

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