Journal of Aerospace Information Systems最新文献_第3页

Small-Data-Driven Multitask Computational Guidance for Constrained Impact 小数据驱动的多任务计算引导，实现受限影响

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-06-25 DOI: 10.2514/1.i011409

Haowen Luo, Shaoming He

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Unique Research Platform: The United States Naval Academy Yard Patrol Craft 独特的研究平台：美国海军学院船坞巡逻艇

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-06-25 DOI: 10.2514/1.i011363

Nicholas Bostock, Donald Costello

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Vision-Based Marker-Less Landing of an Unmanned Aerial System on Moving Ground Vehicle 基于视觉的无人驾驶航空系统在移动地面车辆上的无标记着陆

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-06-05 DOI: 10.2514/1.i011282

Blake Krpec, John Valasek, Stephen Nogar

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Deep-Learning Framework for Terminal Airspace Trajectory Prediction and In-Time Prognostics 用于终端空域轨迹预测和实时诊断的深度学习框架

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-05-28 DOI: 10.2514/1.i011334

Varun S. Sudarsanan, Peter F. Kostiuk

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Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems 黑盒系统故障概率估计的贝叶斯安全验证

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-05-28 DOI: 10.2514/1.i011395

Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel, Arthur Dubois

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Development of Real-Time Unmanned Aerial Vehicle Urban Object Detection System with Federated Learning 利用联合学习技术开发无人机城市物体实时探测系统

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-05-08 DOI: 10.2514/1.i011378

You-Ru Lu, Dengfeng Sun

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Enhancing Resolution and Fault Tolerance of Barrier Coverage with Unmanned Aerial Vehicles 利用无人飞行器提高障碍物覆盖的分辨率和容错能力

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-05-06 DOI: 10.2514/1.i011298

Amit Kumar, Debasish Ghose

{"title":"Enhancing Resolution and Fault Tolerance of Barrier Coverage with Unmanned Aerial Vehicles","authors":"Amit Kumar, Debasish Ghose","doi":"10.2514/1.i011298","DOIUrl":"https://doi.org/10.2514/1.i011298","url":null,"abstract":"Securing the borders of a protected region using sensor network deployment is termed “barrier coverage.” Unmanned aerial vehicles (UAVs) with cameras pointed downward can serve as mobile sensors to achieve barrier coverage of a protected region. The resolution of the camera, in addition to the extent of coverage, is a crucial parameter used to evaluate the quality of barrier coverage of a region. This paper presents a cost function that measures the resolution of a barrier coverage network, which can be used to improve the quality of an already established barrier-covered network. An optimization problem is proposed to find the barrier coverage while adhering to an overlapping constraint for UAVs that are placed arbitrarily in the belt. The approach is also demonstrated to be applicable for borders of any shape by utilizing multiple rectangular belts in combination. Furthermore, a fault tolerance model is proposed to ensure continuous barrier coverage even in the presence of faulty UAVs. This model utilizes nearby functional UAVs to compensate for any gaps and preserve the overlap constraint. Specifically, the model identifies neighboring functional UAVs for each faulty UAV and uses them to maintain barrier coverage.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"51 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140884764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Spacecraft Reliability Through Digital Transformation 通过数字化转型提高航天器可靠性

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-04-17 DOI: 10.2514/1.i011212

Nathaniel G. Gordon, Nicolo Boschetti, Damiano Marsili, Gregory Falco

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Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility 安全、可扩展的城市空中交通实时轨迹规划框架

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-04-17 DOI: 10.2514/1.i011381

Abenezer G. Taye, Roberto Valenti, Akshay Rajhans, Anastasia Mavrommati, Pieter J. Mosterman, Peng Wei

{"title":"Safe and Scalable Real-Time Trajectory Planning Framework for Urban Air Mobility","authors":"Abenezer G. Taye, Roberto Valenti, Akshay Rajhans, Anastasia Mavrommati, Pieter J. Mosterman, Peng Wei","doi":"10.2514/1.i011381","DOIUrl":"https://doi.org/10.2514/1.i011381","url":null,"abstract":"This paper presents a real-time trajectory planning framework for urban air mobility (UAM) that is both safe and scalable. The proposed framework employs a decentralized, free-flight concept of operation in which each aircraft independently performs separation assurance and conflict resolution, generating safe trajectories by accounting for the future states of nearby aircraft. The framework consists of two main components: a data-driven reachability analysis tool and an efficient Markov-decision-process-based decision maker. The reachability analysis overapproximates the reachable set of each aircraft through a discrepancy function learned online from simulated trajectories. The decision maker, on the other hand, uses a 6-degree-of-freedom guidance model of fixed-wing aircraft to ensure collision-free trajectory planning. Additionally, the proposed framework incorporates reward shaping and action shielding techniques to enhance safety performance. The proposed framework was evaluated through simulation experiments involving up to 32 aircraft in a generic city-scale area with a 15 km radius, with performance measured by the number of near-midair collisions (NMAC) and computational time. The results demonstrate the planner’s ability to generate safe trajectories for the aircraft in polynomial time, showing its scalability. Moreover, the action shielding and reward shaping strategies show up to a 78.71 and 85.14% reduction in NMAC compared to the baseline planner, respectively.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"28 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140617494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable Basic-Fighter-Maneuver Decision Support Scheme for Piloting Within-Visual-Range Air Combat 用于视距内空战的可解释基本战斗机操纵决策支持方案

IF 1.5 4区工程技术

Journal of Aerospace Information Systems Pub Date : 2024-04-17 DOI: 10.2514/1.i011388

Can Wang, Jingqi Tu, Xizhong Yang, Jun Yao, Tao Xue, Jinyi Ma, Yiming Zhang, Jianliang Ai, Yiqun Dong

{"title":"Explainable Basic-Fighter-Maneuver Decision Support Scheme for Piloting Within-Visual-Range Air Combat","authors":"Can Wang, Jingqi Tu, Xizhong Yang, Jun Yao, Tao Xue, Jinyi Ma, Yiming Zhang, Jianliang Ai, Yiqun Dong","doi":"10.2514/1.i011388","DOIUrl":"https://doi.org/10.2514/1.i011388","url":null,"abstract":"In within-visual-range (WVR) air combat, basic fighter maneuvers (BFMs) are widely used. A BFM decision support scheme has been proposed to aid human pilots in the complex air combat engagement. Recent artificial intelligence advances provide novel opportunities for the development of BFM decision support research. This paper commences by establishing an air-combat-engagement database. Key features that pilots rely on for BFM decision-making in WVR air combat are analyzed, which identifies the input and output data essential for the development of the BFM decision support scheme. A Long Short-Term-Memory (LSTM)-based BFM decision support scheme is then proposed to map input (i.e., combat situations) to output (i.e., BFM decision). Additionally, Shapley-Additive-Explanations-based explainability analysis is also employed to assess the importance of each input feature in the LSTM blocks, and to explain the contribution of each feature to the BFM decision. To evaluate the effectiveness of the proposed BFM decision support scheme, WVR air-combat tests are conducted, which justify the effectiveness of the proposed scheme.","PeriodicalId":50260,"journal":{"name":"Journal of Aerospace Information Systems","volume":"43 1","pages":""},"PeriodicalIF":1.5,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140608396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0