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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Li, Weitong Xiao, Jin State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9789819733316

With the integration of avionics system from single platform to multi-platform into a larger and highly complex system, the technical requirements of avionics system are more complex, more extensive, and higher precision requirements. In the field of model-based systems engineering, the rationality verification of requirements by analysts and the performance verification of algorithms and functions by professional designers have always been the key considerations for quality assurance of design process. This paper develops a set of general aviation combat simulation platform. Through Socket interface in STK, STK/Connect module is used to obtain real-time information of combat objects in STK scene, and this information is sent to FMU file generated by Simulink or Rhapsody for solving. The calculated data is sent back to the combat scene through the interface again, and the state of the combat object is updated to realize the real-time digital battlefield calculation and simulation. The aviation combat simulation platform can receive the relevant data of the system equipment in the given combat scenario. By designing verification models and connecting them with combat scenarios, professionals can verify the rationality of combat plans and equipment performance requirements, as well as verify the performance of simulation algorithms and functions that meet the actual requirements. This method also supports the adjustment of the combat strategy through the combat results, to optimize the combat performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Simulation platform

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Adaptive Boundary and Semantic Composite Segmentation Method for Individual Objects in Aerial Images

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2237-2265页

作者： Ying Li Guanghong Gong Dan Wang Ni Li School of Automation Science and Electrical Engineering Beihang UniversityBeijing100191China Shenyuan Honors College Beihang UniversityBeijing100191China State Key Laboratory of Virtual Reality Technology and Systems Beijing100191China

There are two types of methods for image *** is traditional image processing methods,which are sensitive to details and boundaries,yet fail to recognize semantic *** other is deep learning methods,which can locate and identify different objects,but boundary identifications are not accurate *** of them cannot generate entire segmentation *** order to obtain accurate edge detection and semantic information,an Adaptive Boundary and Semantic Composite Segmentation method(ABSCS)is *** method can precisely semantic segment individual objects in large-size aerial images with limited GPU *** includes adaptively dividing and modifying the aerial images with the proposed principles and methods,using the deep learning method to semantic segment and preprocess the small divided pieces,using three traditional methods to segment and preprocess original-size aerial images,adaptively selecting traditional results tomodify the boundaries of individual objects in deep learning results,and combining the results of different *** object semantic segmentation experiments are conducted by using the AeroScapes dataset,and their results are analyzed qualitatively and *** experimental results demonstrate that the proposed method can achieve more promising object boundaries than the original deep learning *** work also demonstrates the advantages of the proposed method in applications of point cloud semantic segmentation and image inpainting.

关键词： Semantic segmentation aerial images composite method traditional image processing deep learning

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Flight Simulator Column Force Modeling by System Identification 23

Flight Simulator Column Force Modeling by System Identificat...

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15th International Conference on Computer Modeling and Simulation, ICCMS 2023

作者： Cai, Xiangqun Lei, Xiaoyong Dai, Shuling Li, Weiqi State Key Lab. of Virtual Reality Technology and Systems Beihang University China School of Automation Science and Electrical Engineering Beihang University China

ISBN: (纸本)9798400707919

In this work, a modeling method of aircraft control column force based on system identification is proposed. Using the data of "lever force displacement"and "lever release"tests, the column force model of the longitudinal channel of the control system is established, and least square method is used to identify the model parameters. The acquired model is used for the simulation of the irreversible hydraulic control system, and the simulation results are compared with test results. It is indicated that the simulation accuracy meets the requirements of CCAR 60 for the column force model of the simulator control system. The proposed model has a simple structure and high computational efficiency. The identification method is independent of the original design parameters of the control system and has good robustness. © 2023 ACM.

关键词： Flight simulators

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Application Research of Edge Computing in Airborne Networks Algorithm 7th

Application Research of Edge Computing in Airborne Networks ...

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7th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2023

作者： Li, Chuxin Xiao, Jin State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9789819733316

Due to the requirement of low cost and multi-interaction for UAV formation in future combat mode, in order to solve the problem of time and energy cost optimization through task allocation under the organization mode of UAV formation, this paper proposes a computational offloading model based on BAS algorithm under edge computing platform. With the aim of multi-objective optimization, the UAV formation is abstracted into a constrained communication cost model, and the system benefit function of time and energy cost is constructed. Finally, the multi-objective optimization problem is solved by using the improved BAS algorithm. The dynamic choice of time cost and energy cost in different scenarios can be realized by changing the weight of system income function. This scheme can effectively meet the requirements of low cost and multi-interaction of unmanned formation in the future combat style. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Multiobjective optimization

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CADGen:Computer-aided design sequence construction with a guided codebook learning

Digital Twins and Applications

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Digital Twins and Applications 2024年第1期1卷 75-87页

作者： Shengdi Zhou Xiaoqiang Zan Zhuqing Li Bin Zhou State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina

Computer-aided design(CAD)software continues to be a crucial tool in digital twin application and manufacturing,facilitating the design of various *** present a novel CAD generation method,an agent that constructs the CAD sequences containing the sketch-and-extrude modelling operations efficiently and with high *** from the sketch and extrusion operation sequences,we utilise the transformer encoder to encode them into different disentangled codebooks to represent their distribution properties while considering their ***,a combination of auto-regressive and non-autoregressive samplers is trained to sample the code for CAD sequence *** experiments demonstrate that our model generates diverse and high-quality CAD *** also show some cases of real digital twin applications and indicate that our generated model can be used as the data source for the digital twin platform,exhibiting designers'potential.

关键词： CAD sequence construction code sample computer‐aided design digital twins hierarchical code learning

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GLGait: A Global-Local Temporal Receptive Field Network for Gait Recognition in the Wild 24

GLGait: A Global-Local Temporal Receptive Field Network for ...

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32nd ACM International Conference on Multimedia, MM 2024

作者： Peng, Guozhen Wang, Yunhong Zhao, Yuwei Zhang, Shaoxiong Li, Annan State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China The School of Communication Engineering Hangzhou Dianzi University Zhejiang Hangzhou China

ISBN: (纸本)9798400706868

Gait recognition has attracted increasing attention from academia and industry as a human recognition technology from a distance in non-intrusive ways without requiring cooperation. Although advanced methods have achieved impressive success in lab scenarios, most of them perform poorly in the wild. Recently, some Convolution Neural Networks (ConvNets) based methods have been proposed to address the issue of gait recognition in the wild. However, the temporal receptive field obtained by convolution operations is limited for long gait sequences. If directly replacing convolution blocks with visual transformer blocks, the model may not enhance a local temporal receptive field, which is important for covering a complete gait cycle. To address this issue, we design a Global-Local Temporal Receptive Field Network (GLGait). GLGait employs a Global-Local Temporal Module (GLTM) to establish a global-local temporal receptive field, which mainly consists of a Pseudo Global Temporal Self-Attention (PGTA) and a temporal convolution operation. Specifically, PGTA is used to obtain a pseudo global temporal receptive field with less memory and computation complexity compared with a multi-head self-attention (MHSA). The temporal convolution operation is used to enhance the local temporal receptive field. Besides, it can also aggregate pseudo global temporal receptive field to a true holistic temporal receptive field. Furthermore, we also propose a Center-Augmented Triplet Loss (CTL) in GLGait to reduce the intra-class distance and expand the positive samples in the training stage. Extensive experiments show that our method obtains state-of-the-art results on in-the-wild datasets, i.e., Gait3D and GREW. The code is available at https://***/bgdpgz/GLGait. © 2024 ACM.

关键词： Convolutional neural networks

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Research on Visual Detection Method of Laser Welding Seam 5

Research on Visual Detection Method of Laser Welding Seam

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5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023

作者： Wang, Binyu Chou, Wusheng School of Mechanical Engineering and Automation China State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing China

ISBN: (纸本)9798350326796

Weld defects produced by welding will destroy the quality of products. The visual detection method of weld seam using artificial neural network has been applied in industry, but few researchers have established a method to measure the shape of weld seam. In this paper, a feasible scheme based on image processing and artificial neural network is proposed, which not only detects the location of weld defects, but also measures the geometric dimensions of welds. The effectiveness of the method was verified by testing on the self-built dataset and the average accuracy of the size measurement reached 95.9%. © 2023 IEEE.

关键词： Computer vision

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Prescribed Performance Evolution Control for Quadrotor Autonomous Shipboard Landing

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1151-1162页

作者： Yang Yuan Haibin Duan Zhigang Zeng State Key Laboratory of Virtual Reality Technology and Systems the School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China State Key Laboratory of Virtual Reality Technology and Systems the School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083 Virtual Reality Fundamental Research Laboratory Department of Mathematics and TheoriesPeng Cheng LaboratoryShenzhen 518000China School of Artificial Intelligence and Automation Huazhong University of Science and TechnologyWuhan 430074China

The shipboard landing problem for a quadrotor is addressed in this paper,where the ship trajectory tracking control issue is transformed into a stabilization control issue by building a relative position *** guarantee both transient performance and steady-state landing error,a prescribed performance evolution control(PPEC)method is developed for the relative position *** addition,a novel compensation system is proposed to expand the performance boundaries when the input saturation occurs and the error exceeds the predefined *** the wind and wave on the relative position model,an adaptive sliding mode observer(ASMO)is designed for the disturbance with unknown upper *** on the dynamic surface control framework,a shipboard landing controller integrating PPEC and ASMO is established for the quadrotor,and the relative position control error is guaranteed to be uniformly ultimately *** results have verified the feasibility and effectiveness of the proposed shipboard landing control scheme.

关键词： error integrating stabilization

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Towards imbalanced motion:part-decoupling network for video portrait segmentation

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Science China(Information Sciences) 2024年第7期67卷 197-210页

作者： Tianshu YU Changqun XIA Jia LI State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang University Peng Cheng Laboratory

Video portrait segmentation(VPS), aiming at segmenting prominent foreground portraits from video frames, has received much attention in recent years. However, the simplicity of existing VPS datasets leads to a limitation on extensive research of the task. In this work, we propose a new intricate large-scale multi-scene video portrait segmentation dataset MVPS consisting of 101 video clips in 7 scenario categories,in which 10843 sampled frames are finely annotated at the pixel level. The dataset has diverse scenes and complicated background environments, which is the most complex dataset in VPS to our best *** the observation of a large number of videos with portraits during dataset construction, we find that due to the joint structure of the human body, the motion of portraits is part-associated, which leads to the different parts being relatively independent in motion. That is, the motion of different parts of the portraits is imbalanced. Towards this imbalance, an intuitive and reasonable idea is that different motion states in portraits can be better exploited by decoupling the portraits into parts. To achieve this, we propose a part-decoupling network(PDNet) for VPS. Specifically, an inter-frame part-discriminated attention(IPDA)module is proposed which unsupervisedly segments portrait into parts and utilizes different attentiveness on discriminative features specified to each different part. In this way, appropriate attention can be imposed on portrait parts with imbalanced motion to extract part-discriminated correlations, so that the portraits can be segmented more accurately. Experimental results demonstrate that our method achieves leading performance with the comparison to state-of-the-art methods.

关键词： video portrait segmentation imbalanced motion unsupervised part decoupling motion correlation inter-frame attention

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Expression Fusion to Enhance Video and Speech-Driven 3D Facial Animation 41st

Expression Fusion to Enhance Video and Speech-Driven 3D Fa...

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41st Computer Graphics International Conference, CGI 2024

作者： Liu, Yangyue Hu, Yong Shen, Xukun State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing100191 China School of New Media Art and Design Beihang University Beijing100191 China

ISBN: (纸本)9783031820205

Currently, monocular 3D face capture and tracking methods are difficult to ensure the accuracy of identity and expression, and speech-driven 3D facial animation methods are challenging to acquire head pose and upper facial expression. In response, we propose a video- and speech-driven 3D facial animation synthesis method that attempts to combine the benefits of these methods and avoid their weaknesses. Specifically, to facilitate animation and handle the problem of character identity accuracy, we generate character appearance templates by registering a 3D morphable model (3DMM) to a rigid model. To address the limitations of different methods for acquiring expressions and poses, we design an expression fusion network based on the 3DMM space to fuse the expression data acquired by different modalities and output unified facial expression data. Finally, due to the limitation of the dataset ignoring the eye movements, we design an eye movement enhancement network to add eyelid movements by modifying the facial expression data and then replacing the eye region to get the final 3D face mesh animation. Through detailed experiments, we demonstrate that our method can generate speech-visual synchronized 3D face animations while obtaining better performance results than the current concerns of using monocular video images or speech-driven generation of 3D face animation methods independently. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Animation

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