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6th International Conference on Computer Information Science and Application technology, CISAT 2023

作者： Wu, Guoqiang Li, Wushen Huang, Kun Gao, Wei An, Ruirui Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China China Aerospace Science and Technology Corporation Intelligent Unmanned System Overall Technology Research and Development Center Beijing100094 China

ISBN: (纸本)9781510668546

In order to solve the practical problems such as large number of information sources, information redundancy and difficulty in confirming target in Multi-UAV cooperative reconnaissance scenarios, this paper designs a Multi-UAV target information fusion method combining target re-identification with online clustering technology. A real-time target feature extraction network is constructed to visually characterize reconnaissance target. The target information is encoded by fusing the target's longitude, latitude, category, and visual features. Hamming distance and cosine distance are used to measure the similarity of multi-source target features. Based on the online high-dimensional data clustering algorithm, we build a multi-source target information fusion architecture under Multi-UAV cooperative reconnaissance. Finally, the algorithm is verified based on the actual flight data of drone swarm composed of three UAVs. The experimental results show that the proposed algorithm can effectively fuse multiple reconnaissance target information, reduce the target search and decision time, and improve the efficiency of reconnaissance operations. © 2023 SPIE.

关键词： Information fusion

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research and Application of Residual Local Blueprint Separable Network for Lightweight Image Super-Resolution 6

Research and Application of Residual Local Blueprint Separab...

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6th International Conference on Computer Information Science and Application technology, CISAT 2023

作者： Zhang, Wenjiao Wu, Guoqiang Sun, Haohui Li, Wushen Ran, Yang China Aerospace Science and Technology Corporation Intelligent Unmanned System Overall Technology Research and Development Center Beijing100094 China Beijing Institute of Technology School of Mechatronical Engineering Beijing100081 China Beijing Research Institute of Telemetry Beijing100081 China

ISBN: (纸本)9781510668546

Deep learning based Single image super-resolution has achieved great success, but the computational cost is too high, making it unsuitable for real-time tasks on resource-constrained devices. In this paper, we propose Residual Local Blueprint Separable Network (RLBSN), which based on RLFN lightweight backbone network. The blueprint separable convolution was used to replace the traditional convolution, which can enhance the extraction of edge information, reduce the number of model parameters, and improve the running speed. The knowledge distillation concept is introduced to calculate loss function and the output of high-performance model is taken as ground-truth to improve the performance of the model. We design the joint loss function that combines the characteristics of various loss functions to generate high-quality super-resolution images. Inference time can be significantly accelerated by transferring post-processing to the GPU. © 2023 SPIE.

关键词： Distillation

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research on Navigation and Positioning technology for Autonomous Recovery of unmanned Surface Vehicles 30

Research on Navigation and Positioning Technology for Autono...

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30th Saint Petersburg International Conference on Integrated Navigation systems, ICINS 2023

作者： Xu, Chen Cai, Li-Ming Sun, Xue-Jiao Hu, Chang-Qing Li, Qing-Zhou Beijing Institute of Aerospace Control Devices Beijing China Aero-Times Marine Equipment Technology Development Co. Qingdao China Intelligent Unmanned System Overall Technology Research and Development Center China Aerospace Science and Technology Corporation Beijing China Laoshan Laboratory Qingdao China

ISBN: (纸本)9785919950950

The launch and recovery of unmanned Surface Vehicles (USV) have long relied on manual assistance, which is one of the important factors limiting the wide application of USV in practical engineering. Navigation and positioning technology is the key to achieve autonomous recovery of USV. However, at present, the recovery process of USV basically still adopts manual remote control means, with high security requirements and low level of intelligence. This paper firstly describes the current situation of the application of navigation and positioning technology in the process of autonomous recovery of USV from two aspects: long-range USV navigation and positioning technology and close-range target relative positioning technology. By combining the characteristics of INS, GNSS, DVL and vision sensors, the framework of robust navigation system for the autonomous recovery of USV is designed for each stage of the recovery process. Then the key technologies involved are analyzed, including USV multi-source navigation information fusion technology and close-range visual relative positioning technology, and the corresponding adaptive federal Kalman filter algorithm and monocular visual positioning system algorithm are designed to realize accurate navigation and positioning in the autonomous recovery of USV. Finally, the navigation and positioning techniques in the autonomous recovery of USV are summarized and prospected. © 2023 Concern CSRI Elektropribor, JSC.

关键词： Adaptive filtering

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Influence Degree Analysis of Landing Points of Small-sized Fixed-wing Gliding UAV in Short Range 6

Influence Degree Analysis of Landing Points of Small-sized F...

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2022 6th International Conference on Artificial Intelligence, Automation and Control Technologies, AIACT 2022

作者： Jiang, Tieying Ma, Xiangsen Yang, Chengwei Mao, Yukun Aerospace Times FeiHong Technology Company Limited China Academy Of Aerospace Electronics Technology Beijing100094 China Intelligent Unmanned System Overall Technology Research And Development Center China Aerospace Science And Technology Corporation Beijing100094 China School Of Mechatronical Engineering Beijing Institute Of Technology Beijing100081 China

Enhancing the landing accuracy and reducing landing point dispersion of unmanned Aerial Vehicles (UAVs) with fixed wings is critical for expanding the applications of UAVs in complex terrains. Faced with the requirement for arresting recovery for UAV landings in short range, a UAV with fixed wings is chosen as the research basis. The landing strategy for UAVs has been modified by the addition of wing flaps, dynamic compensation control, and ultrasonic sensors, among other things. Additionally, the simulation model validated the feasibility of the modified landing-recovery strategy. The Monte Carlo method is used to analyze the influence of interference sources, such as constant wind, gust, positioning error, airspeed measurement, mass, air density, processing and assembly, and control error, on landing point dispersion. Simulation results indicate that the modified landing strategy can significantly improve the short landing performance for small-sized UAVs with fixed wings. © Published under licence by IOP Publishing Ltd.

关键词： Fixed wings

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Flexible capacitive pressure sensor based on interdigital electrodes with porous microneedle arrays for physiological signal monitoring

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Nanotechnology and Precision Engineering 2024年第1期7卷 18-31页

作者： Jiahui Xu Minghao Wang Minyi Jin Siyan Shang Chuner Ni Yili Hu Xun Sun Jun Xu Bowen Ji Le Li Yuhua Cheng Gaofeng Wang School of Electronics&Information MOE Engineering Research Center of Smart Microsensors and MicrosystemsHangzhou Dianzi UniversityHangzhou 310018China Wenzhou Institute of Hangzhou Dianzi University Wenzhou 310018China Key Laboratory of Intelligent Operation and Maintenance Technology&Equipment for Urban Rail Transit of Zhejiang Province College of EngineeringInstitute of Precision Machinery and Smart StructureZhejiang Normal UniversityJinhua 321004China Institute of Guizhou Aerospace Measuring and Testing Technology Guiyang 550009China Unmanned System Research Institute Northwestern Polytechnical UniversityXi’an 710072China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen 518057China

Flexible pressure sensors have many potential applications in the monitoring of physiological signals because of their good biocompatibil-ity and ***,their relatively low sensitivity,linearity,and stability have hindered their large-scale commercial ***,aﬂexible capacitive pressure sensor based on an interdigital electrode structure with two porous microneedle arrays(MNAs)is *** porous substrate that constitutes the MNA is a mixed product of polydimethylsiloxane and *** to its porous and interdigital structure,the maximum sensitivity(0.07 kPa-1)of a porous MNA-based pressure sensor was found to be seven times higher than that of an imporous MNA pressure sensor,and it was much greater than that of aﬂat pressure sensor without a porous MNA ***-element analysis showed that the interdigital MNA structure can greatly increase the strain and improve the sensitivity of the *** addition,the porous MNA-based pressure sensor was found to have good stability over 1500 loading cycles as a result of its bilayer parylene-enhanced conductive electrode *** importantly,it was found that the sensor could accurately monitor the motion of aﬁnger,wrist joint,arm,face,abdomen,eye,and Adam’s ***,preliminary semantic recognition was achieved by monitoring the movement of the Adam’s ***,multiple pressure sensors were integrated into a 33 array to detect a spatial pressure distribu-×*** to the sensors reported in previous works,the interdigital electrode structure presented in this work improves sensitivity and stability by modifying the electrode layer rather than the dielectric layer.

关键词： Capacitive pressure sensor Microneedle array Porous PDMS Interdigital electrode

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research on Navigation and Positioning technology for Autonomous Recovery of unmanned Surface Vehicles

Research on Navigation and Positioning Technology for Autono...

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Saint Petersburg International Conference on Integrated Navigation systems (ICINS)

作者： Chen Xu Li-Ming Cai Xue-Jiao Sun Chang-Qing Hu Qing-Zhou Li Beijing Institute of Aerospace Control Devices Beijing China Aero-Times Marine Equipment Technology Development Co. Qingdao China China Aerospace Science and Technology Corporation Intelligent Unmanned System Overall Technology Research and Development Center Beijing China Laoshan Laboratory Qingdao China

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