J. Aerosp. Inf. Syst.最新文献

{"title":"Intelligent Motion Video Guidance for Unmanned Air System Ground Target Surveillance","authors":"J. Valasek, K. Kirkpatrick, James May, Joshua Harris","doi":"10.2514/1.I010198","DOIUrl":"https://doi.org/10.2514/1.I010198","url":null,"abstract":"Unmanned air systems with video capturing systems for surveillance and visual tracking of ground targets have worked relatively well when employing gimbaled cameras controlled by two or more operators: one to fly the vehicle, and one to orient the camera and visually track ground targets. However, autonomous operation to reduce operator workload and crew levels is more challenging when the camera is strapdown, or fixed to the airframe without a pan-and-tilt capability, rather than gimbaled, so that the vehicle must be steered to orient the camera field of view. Visual tracking becomes even more difficult when the target follows an unpredictable path. This paper investigates a machine learning algorithm for visual tracking of stationary and moving ground targets by unmanned air systems with nongimbaling, fixed pan-and-tilt cameras. The algorithm is based on Q learning, and the learning agent initially determines an offline control policy for vehicle orientation and flight path such that a target can be tra...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123805800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data-Mining-Based Computer Vision Analytics for Automated Helicopter Flight State Inference","authors":"Sanghyun Shin, Inseok Hwang","doi":"10.2514/1.I010517","DOIUrl":"https://doi.org/10.2514/1.I010517","url":null,"abstract":"The National Transportation Safety Board recently emphasized the importance of flight data monitoring as a tool to improve the safety and performance of helicopter operations. However, due to the h...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128661515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Managing Spacecraft Memory Buffers with Concurrent Data Collection and Downlink","authors":"G. Rabideau, Steve Ankuo Chien, M. Galer, F. Nespoli, Manuel Costa","doi":"10.2514/1.I010544","DOIUrl":"https://doi.org/10.2514/1.I010544","url":null,"abstract":"Space mission planning/scheduling is determining the set of spacecraft activities to meet mission objectives while respecting mission constraints. One important category of mission constraints is data management. As the spacecraft acquires data via science instruments and engineering telemetry, it must store the data on board until it is able to downlink the data to ground communications stations. Because onboard storage and communication opportunities are often limited, this can be a challenging task. This paper first describes the general problem of onboard memory management for spacecraft that allow concurrent data collection and downlink activities. Then, a fast, intuitive heuristic is presented for solving this problem, and its use on the Rosetta comet rendezvous mission is evaluated. Finally, different local heuristics are compared for a greedy search to a global graph-based solution, measuring performance in terms of runtime and robustness to downlink buffer overflow. The results show that local he...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130826526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitask Aircraft Capability Estimation Using Conjunctive Filters","authors":"B. Burrows, Benson Isaac, D. Allaire","doi":"10.2514/1.I010538","DOIUrl":"https://doi.org/10.2514/1.I010538","url":null,"abstract":"In this paper, a data-driven approach to producing rapid, online estimates of aircraft capability is presented. The process involves using physics-based models to produce an offline library of vari...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127632778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Four- and Three-Dimensional Aircraft Reference Trajectory Optimization Inspired by Ant Colony Optimization","authors":"A. Mendoza, A. Hamy, R. Botez","doi":"10.2514/1.I010540","DOIUrl":"https://doi.org/10.2514/1.I010540","url":null,"abstract":"A methodology of aircraft reference trajectory optimization inspired by the ant colony optimization is used in this paper to find the most efficient trajectory in terms of fuel burn and flight cost...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116641911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multitarget Localization on Road Networks with Hidden Markov Rao-Blackwellized Particle Filters","authors":"N. Ahmed, D. Casbeer, Yongcan Cao, Derek B. Kingston","doi":"10.2514/1.I010539","DOIUrl":"https://doi.org/10.2514/1.I010539","url":null,"abstract":"This paper considers the problem of tracking multiple moving targets on a road network with sparse, highly localized, unattended ground sensor data that are subject to clutter and missed detections. Hidden Markov models for single-target localization with unattended ground sensor data are first derived for road networks, under the assumption of perfect data association. These hidden Markov models are then used to solve the data association problem in the presence of clutter and missed detections for multitarget tracking using a Rao–Blackwellized particle filter. The proposed hidden Markov model tracking approach permits easy generation of accurate probabilistic models from a priori road network structure information, and it naturally enables sparse computationally efficient handling of multimodal target state uncertainties using both positive and negative unattended ground sensor information. The Rao–Blackwellized particle filter provides a fully Bayesian solution to the data association problem, enabling...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126020529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of Decision Tree Methods in Predictive Analysis of Airborne Icing Incidents","authors":"Tanya K. Gatlin, Daniel D. Kinn, J. Maris, A. Yu, Robert W. Maxson","doi":"10.2514/1.I010542","DOIUrl":"https://doi.org/10.2514/1.I010542","url":null,"abstract":"T HE National Transportation Safety Board (NTSB) has focused on icing since 1970, and “airframe icing has been on the NTSB’s Most Wanted list of safety improvements from 1997 to 2011” [1]. This analysis revealed 819 deaths in the 19-year studywhile highlighting “some very notableU.S. icing accidents, includingAir Florida Flight 90,U.S.Air Flight 405, Comair Flight 3272, andAmerican Eagle Flight 4184.”The Federal AviationAdministration (FAA) has struggled to address this issue: Since 1994, the FAAhas issuedmore than 200 airworthiness directives to address icing safety issues onmore than 50 specific types of aircraft. These orders cover safety issues ranging from crewoperating procedures in the icing environment to direct design changes. There have been changes to airplane flightmanuals and other operating documents to address icing safety, and bulletins and alerts emphasizing icing safety issues have been issued to operators. In addition to many short-term initiatives, the FAA has issued two final rules, and two proposed rules are in progress to address NTSB recommendations [2]. Although the data for 1982 to 2000 from [3] indicate an overall decline in icing accidents, there has been no improvement in the commuter segment, where such accidents continue unabated. Despite advances in equipment and training, improved weather services, and new aviation regulations targeted at airframe icing, this issue has been a concern of the NTSB throughout the years.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125134634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Distributed Observes for Cyberattack Detection and Isolation in Formation-Flying Unmanned Aerial Vehicles","authors":"Lebsework Negash, Sang-Hyeon Kim, Han-Lim Choi","doi":"10.2514/1.I010531","DOIUrl":"https://doi.org/10.2514/1.I010531","url":null,"abstract":"In this paper, cyberattack detection and isolation is studied for a network of formation-flying unmanned aerial vehicles. As the unmanned aerial vehicles communicate to reach consensus on their sta...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124193772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lessons Learned: An Effective Approach to Avoid Repeating the Same Old Mistakes","authors":"A. Ganopol, Marcelo Oglietti, A. Ambrosino, F. Patt, A. Scott, L. Hong, G. Feldman","doi":"10.2514/1.I010485","DOIUrl":"https://doi.org/10.2514/1.I010485","url":null,"abstract":"Space missions face major challenges when it comes to improving processes and procedures, making it difficult to guarantee a repeat of good experiences while avoiding bad ones. The core activity to...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125787544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Introduction to the Special Issue on Federated and Fractionated Satellite Systems","authors":"A. Golkar, Daniel Selva, O. Weck","doi":"10.2514/1.I010545","DOIUrl":"https://doi.org/10.2514/1.I010545","url":null,"abstract":"T HEFederated and Fractionated Satellite SystemsWorkshop (F&FSS)was founded in 2012 in recognition of the emerging role of distributed satellite system concepts in present and future space missions. At the beginning of the space era, satellites were built as single, monolithic systems. As the number and complexity of functions embedded in space systems grew over time, distributed satellite concepts gained increasing prominence and attention by the scientific and engineering communities. It is not uncommon for large monolithic spacecraft to cost tens or hundreds of millions of dollars, over lifetimes between 5 and 10 years. Distributed satellite concepts, on the other hand, offer the opportunity to trade nonrecurring and recurring costs, increase affordability, and reduce risk.More modern concepts also distribute ownership and operations of the assets across different organizations and offer opportunities to view satellites as services; this is the idea behind the collaborative sharing of resources envisioned in federated satellite systems. The successful deployment of fractionated and federated spacecraft opens several technical challenges as well as challenges of business and policy nature. Technical advances are needed both at subsystem and system level. At subsystem level, these include advances in attitude determination and control, high-precision thrusting, in-space and space-to-ground communications, and onboard data processing. At system level, these include advances in interfacing, modularity, formation flying, autonomous decision making, intersatellite networks, and cybersecurity. Business challenges include the establishment of commercial markets of in-orbit space resources. The business case of these new concepts remains to be validated and depends upon to-be-definedmarket structures and pricing policies, similar perhaps to those used in electrical smart grids on Earth. Policy issues encompass complex spectrum allocation schemes and liability questions associatedwith the interoperability of heterogeneous, multiparty-owned assets in opportunistic resource exchange networks. This special issue offers a peer-reviewed selection of three research papers presented and discussed at the third F&FSS workshop held 27– 28 August 2015 at Cornell University, Ithaca, New York. These include a systems architecture analysis of information security services in federated satellite systems; an algorithm performance analysis of coordination of Earth observation by a CubeSat constellation; and amanuscript on resource-considerate data routing through satellite networks. Together, these three papers address three important technical challenges in F&FSS: cybersecurity, coordination, and networking. The issue is complemented with a state-of-the-art survey, which resulted from the roundtable discussions on the conclusive day of the workshop, including a discussion on a research agenda for advancements in this emerging field. Are fractionated and federated satel","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128798361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}