IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125363

Ruiping Wang;Zhijian Hu;Junzhi Yu;Jun Cheng

{"title":"Modelling Diverse Interactions and Multimodality for Pedestrian Trajectory Prediction","authors":"Ruiping Wang;Zhijian Hu;Junzhi Yu;Jun Cheng","doi":"10.1109/JAS.2025.125363","DOIUrl":"https://doi.org/10.1109/JAS.2025.125363","url":null,"abstract":"Pedestrian trajectory prediction can significantly enhance the perception and decision-making capabilities of autonomous driving systems and intelligent surveillance systems based on camera sensors by predicting the states and behavior intentions of surrounding pedestrians. However, existing trajectory prediction methods remain failing to effectively model the diverse and complex interactions in the real world, including pedestrian-pedestrian interactions and pedestrian-environment interactions. Besides, these methods are not effective in capturing and characterizing the multimodal property of future trajectories. To address these challenges above, we propose to devise a hand-designed graph convolution and spatial cross attention to dynamically capture the diverse spatial interactions between pedestrians. To effectively explore the impact of scenarios on pedestrian trajectory, we build a pedestrian map, which can reflect the scene constraints and pedestrian motion preferences. Meanwhile, we construct a trajectory multimodality-aware module to capture the different potential mode implicit in diverse social behaviors for pedestrian future trajectory uncertainty. Finally, we compared the proposed method with trajectory prediction baselines on commonly used public pedestrian benchmarks, demonstrating the superior performance of our approach.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1801-1813"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MonoGuard: towards infrastructure-aware oversized vehicle detection via dynamic 3D metrology with monocular surveillance cameras MonoGuard：通过动态3D测量和单目监控摄像头实现基础设施感知的超大车辆检测

IF 7.5 1区计算机科学

Expert Systems with Applications Pub Date : 2025-10-20 DOI: 10.1016/j.eswa.2025.130049

Yi You , Jiachang Gu , Zida Chen , Gang Wu , Kang Gao

{"title":"MonoGuard: towards infrastructure-aware oversized vehicle detection via dynamic 3D metrology with monocular surveillance cameras","authors":"Yi You , Jiachang Gu , Zida Chen , Gang Wu , Kang Gao","doi":"10.1016/j.eswa.2025.130049","DOIUrl":"10.1016/j.eswa.2025.130049","url":null,"abstract":"<div><div>Oversized vehicles pose a significant threat to public safety and urban infrastructure, leading to catastrophic bridge failures and traffic disruptions worldwide. However, existing detection systems often lack the automation, real-time capability, and cost-effectiveness required for widespread deployment. To address this gap, this study introduces MonoGuard, a deep learning-enhanced framework for real-time oversized vehicle detection (OSVD). By leveraging ubiquitous monocular surveillance cameras, Monoguard is designed to guard against infrastructure damage and enhance traffic safety. Monoguard integrates three key innovations: a semi-automatic calibration workflow using Segment Anything Model 2 (SAM2) and multi-frame fusion for robust vanishing point estimation; the lightweight Context-Guided Attention Segmentation-You Only Look Once (CGAS-YOLO) model for efficient vehicle segmentation; and a rule-based adaptive 3D bounding box pipeline that dynamically adjusts to camera-object geometry. Extensive evaluations across 36 UAV-simulated scenarios demonstrate MonoGuard’s high performance. It achieves a remarkable height estimation accuracy rate of 96.98% for cars and 95.50% for trucks, while maintaining a real-time throughput of 46.5 FPS on an RTX 4080 Laptop. By repurposing existing surveillance infrastructure, MonoGuard provides a scalable and economical solution for smart cities, enabling early warnings to prevent collisions, protect infrastructure, and safeguard lives and property.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"299 ","pages":"Article 130049"},"PeriodicalIF":7.5,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145334034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Double-layer Q-learning guided NSGA-II for integrated production scheduling and inventory decision considering multi-product orders 基于双层q学习的NSGA-II多产品订单综合生产调度与库存决策

IF 7.5 1区计算机科学

Expert Systems with Applications Pub Date : 2025-10-20 DOI: 10.1016/j.eswa.2025.130008

Juan Zhou , Qianwang Deng , Yinwen Ma , Rui Pan , Jingxing Zhang , Mao Tan

{"title":"Double-layer Q-learning guided NSGA-II for integrated production scheduling and inventory decision considering multi-product orders","authors":"Juan Zhou , Qianwang Deng , Yinwen Ma , Rui Pan , Jingxing Zhang , Mao Tan","doi":"10.1016/j.eswa.2025.130008","DOIUrl":"10.1016/j.eswa.2025.130008","url":null,"abstract":"<div><div>High-quality spare parts production and supply are critical for establishing sustained competitive advantages. However, limited manufacturing resources and tight delivery deadlines challenge enterprises in balancing delivery reliability and inventory capital occupation. The widespread existence of multi-product spare parts orders, characterized by interdependent delivery constraints, further complicates production resource allocation and operational coordination. To address these issues, this study treats production and inventory as dual sources for order fulfillment and investigates the integrated production scheduling and inventory decision optimization problem considering multi-product orders (IPSID-MPO), aiming to simultaneously minimize total inventory capital occupation and total order delay penalty. We propose a novel double-layer Q-learning-guided non-dominated sorting genetic algorithm-II (DQ-NSGA), incorporating key innovations: (i) a decoding strategy that considers product delivery constraints, (ii) a hybrid initialization mechanism integrating four problem-specific heuristics, (iii) knowledge-driven local search strategies, and (iv) a self-adaptive adjustment mechanism via double-layer Q-learning. The outer layer dynamically tunes crossover/mutation probabilities based on population evolution, while the inner layer guides individual-specific search strategies. Comprehensive experiments on 180 benchmark instances demonstrate DQ-NSGA’s superiority over mainstream comparative algorithms. Comparisons with common simplified models that consider single-product orders demonstrates the necessity of incorporating multi-product orders in production and inventory decision-making. Furthermore, compared to Make-to-Stock and Make-to-Order paradigms, the proposed IPSID-MPO model not only reduces inventory carrying costs by 28.7% but also effectively enhances the flexibility of the manufacturing system.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"299 ","pages":"Article 130008"},"PeriodicalIF":7.5,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145334029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical Event-Triggered Predictive Control for Cross-Domain Unmanned Systems with Mixed Constraints 混合约束下跨域无人系统的层次事件触发预测控制

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2024.124797

Ming-Feng Ge;Yi-Fan Li;Chen-Bin Wu;Zhi-Wei Liu;Yan Jia;Si-Sheng Liu

{"title":"Hierarchical Event-Triggered Predictive Control for Cross-Domain Unmanned Systems with Mixed Constraints","authors":"Ming-Feng Ge;Yi-Fan Li;Chen-Bin Wu;Zhi-Wei Liu;Yan Jia;Si-Sheng Liu","doi":"10.1109/JAS.2024.124797","DOIUrl":"https://doi.org/10.1109/JAS.2024.124797","url":null,"abstract":"Dear Editor, This letter investigates the problem of multi-dimension formation tracking (MDFT) for the cross-domain unmanned systems, including several interconnected agents, namely, unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs). We assume that each agent suffers from by the mixed constraints on its velocity, control input and Euler angle. Solving the MDFT problem implies that 1) The virtual state of each USV is determined in the earth coordinate by expanding its 2D work space to the 3D space; 2) The UAVs and the virtual states of the USVs form a user-defined geometric formation asymptotically in the 3D local coordinate; 3) The geometric center of the UAVs and the virtual states of the USVs tracks a reference trajectory asymptotically in the 3D earth coordinate. Therefore, a new hierarchical event-triggered predictive control (HETPC) algorithm is proposed to solve the MDFT problem, including the event-triggere cooperation layer and local 1ayer. The former solves the cooperative estimation problem of cross-domain systems with different dimensions, and the latter solves the trajectory tracking control problem under mixed constraints.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1938-1940"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11208746","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A welding sequence optimization method of multilayer thin-walled structures via combined architecture of convolutional long short-term memory-UNet and non-dominated sorting genetic algorithm II 基于卷积长短期记忆- unet和非支配排序遗传算法的多层薄壁结构焊接顺序优化方法

IF 8 2区计算机科学

Engineering Applications of Artificial Intelligence Pub Date : 2025-10-20 DOI: 10.1016/j.engappai.2025.112810

Danning Fan , Cheng Luo , Yansong Zhang

{"title":"A welding sequence optimization method of multilayer thin-walled structures via combined architecture of convolutional long short-term memory-UNet and non-dominated sorting genetic algorithm II","authors":"Danning Fan , Cheng Luo , Yansong Zhang","doi":"10.1016/j.engappai.2025.112810","DOIUrl":"10.1016/j.engappai.2025.112810","url":null,"abstract":"<div><div>Numerous welding seams in multilayer thin-walled structures of ship blocks could include thousands of welding sequences and lead to various structural deformations, significantly undermining the manufacturing quality. Welding sequence optimization based on numerical finite element (FE) simulations needs repeated model modification and calculation, facing challenges of time-consuming cost. Thus, this paper proposed a novel welding sequence optimization method based on a combined architecture of convolutional long short-term memory-UNet (ConvLSTM-UNet) and non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ), reducing welding deformation of multilayer thin-walled structures of ship blocks. The ConvLSTM network was used to extract the spatiotemporal characteristics of welding seams, and then welding deformation was rapidly predicted by the UNet network. NSGA-II was employed to automatically generate thousands of welding sequences, which would be input to the ConvLSTM-UNet network for fitness calculation. The multi-objective function consisted of distortion unevenness of each layer and the maximum flatness was applied for fitness evaluation and regeneration of new welding sequences. The optimized welding sequence could reduce the maximum deformation of the multilayer thin-walled structure of ship blocks up to 40.8 %.</div></div>","PeriodicalId":50523,"journal":{"name":"Engineering Applications of Artificial Intelligence","volume":"162 ","pages":"112810"},"PeriodicalIF":8.0,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Data-Driven Coordinated Control of UUVs for Maritime Search and Rescue 面向海上搜救的无人潜航器自适应数据驱动协调控制

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2024.124767

Hao-Liang Wang;De-Zhi Yu;Li-Yu Lu;Zhou-Hua Peng

引用次数: 0

Distributed Saturated Impulsive Quasi-Consensus for Leader-Follower Multi-Agent Systems: An Open Topology Framework 领导-随从多智能体系统的分布式饱和脉冲拟一致：一个开放拓扑框架

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2024.124743

Haitao Zhu;Jianquan Lu;Yijun Lou;Xinsong Yang

引用次数: 0

Koopman-Based Robust Model Predictive Control with Online Identification for Nonlinear Dynamical Systems 非线性动力系统在线辨识的koopman鲁棒模型预测控制

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125546

Ruiqi Ke;Jingchuan Tang;Zongyu Zuo;Yan Shi

引用次数: 0

The Application of RVM in GNSS Anti-Spoofing Field Based on the Hybrid Kernel Function 基于混合核函数的RVM在GNSS抗欺骗领域的应用

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125522

Junzhi Li;Qiuying Yu;Gangqiang Li;Yu He

{"title":"The Application of RVM in GNSS Anti-Spoofing Field Based on the Hybrid Kernel Function","authors":"Junzhi Li;Qiuying Yu;Gangqiang Li;Yu He","doi":"10.1109/JAS.2025.125522","DOIUrl":"https://doi.org/10.1109/JAS.2025.125522","url":null,"abstract":"With the widespread application of global navigation satellite system (GNSS), spoofing attacks pose a threat to the security and reliability of GNSS. It is of great significance to design effective GNSS spoofing detection technology to ensure the security and reliability of GNSS system applications for receiver users. Traditional spoofing detection techniques generally only determine whether a spoofing attack has occurred by monitoring the feature changes of one or two data information in the receiver. However, some spoofing modes can cleverly make the monitored data very close to the real data, thus avoiding these detection methods and easily making them ineffective. In this study, a GNSS spoofing jamming detection method based on hybrid kernel relevance vector machine (RVM) is proposed. The improved signal quality monitoring (SQM) movement variance, carrier noise ratio movement variance, pseudo range Doppler consistency, pseudorange residual, Doppler frequency, clock offset and clock drift are used as detection characteristics. This technology can detect GNSS spoofing signals, effectively improving the safety and reliability of GNSS systems. The experimental results show that this technology has high detection accuracy and anti-interference ability and can effectively respond to various forms of spoofing attacks.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1893-1907"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data-Driven Time-Delay Optimal Control Method for Roller Kiln Temperature Field 数据驱动的辊窑温度场时滞最优控制方法

IF 19.2 1区计算机科学

Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-10-20 DOI: 10.1109/JAS.2025.125309

Jiayao Chen;Weihua Gui;Ning Chen;Biao Luo;Binyan Li;Zeng Luo;Chunhua Yang

{"title":"Data-Driven Time-Delay Optimal Control Method for Roller Kiln Temperature Field","authors":"Jiayao Chen;Weihua Gui;Ning Chen;Biao Luo;Binyan Li;Zeng Luo;Chunhua Yang","doi":"10.1109/JAS.2025.125309","DOIUrl":"https://doi.org/10.1109/JAS.2025.125309","url":null,"abstract":"In the industrial roller kiln, the time-delay characteristic in heat transfer causes the temperature field to be affected by both the current and historical temperature states. It presents a poor control performance and brings a significant challenge to the process precise control. Considering high complexity of precise modeling, a data-driven time-delay optimal control method for temperature field of roller kiln is proposed based on a large amount of process data. First, the control challenges and problem description brought by time-delay are demonstrated, where the cost function for the time-delay partial differential equation system is constructed. To obtain the optimal control law, the policy iteration in adaptive dynamic programming is adopted to design the time-delay temperature field controller, and neural network is used for the critic network in policy iteration to approximate the optimal time-delay cost function. The closed-loop system stability is proved by designing the Lyapunov function which contains the time-delay information. Finally, through establishing the time-delay temperature field model for roller kiln, the effectiveness and convergence of the proposed method is verified and proved.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"12 9","pages":"1776-1787"},"PeriodicalIF":19.2,"publicationDate":"2025-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145335340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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