J. Aerosp. Inf. Syst.最新文献

{"title":"Site Selection During Unmanned Aerial System Forced Landings Using Decision-Making Bayesian Networks","authors":"M. Coombes, Wen‐Hua Chen, P. Render","doi":"10.2514/1.I010432","DOIUrl":"https://doi.org/10.2514/1.I010432","url":null,"abstract":"This is a technical note published in the Journal of Aerospace Information Systems [© by the American Institute of Aeronautics and Astronautics, Inc.].","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115789921","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":"Factored Extended Kalman Filter for Monocular Vision-Aided Inertial Navigation","authors":"Daniel Magree, Eric N. Johnson","doi":"10.2514/1.I010419","DOIUrl":"https://doi.org/10.2514/1.I010419","url":null,"abstract":"This paper describes a novel visual simultaneous localization and mapping system based on the UD factored extended Kalman filter. A novel method for marginalizing and initializing state variables i...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"2017 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114669020","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":"Fast Link Scheduling Policies for Persistent Data Ferrying","authors":"Anthony Carfang, E. Frew","doi":"10.2514/1.I010429","DOIUrl":"https://doi.org/10.2514/1.I010429","url":null,"abstract":"The persistent data-ferrying problem has a naturally cascaded structure between vehicle and communication dynamics, allowing the wireless link scheduling optimization to be encapsulated within a path-planning optimization problem. This work derives and analyzes policies to solve the inner link scheduling problem quickly. Given a path and properties about the communication environment, the link scheduling problem is formulated as a binary integer linear program with unique ferrying constraints. The performances of several heuristic link scheduling policies are analyzed in terms of computation effort and achievable throughput of the solution. The performance characteristics are then validated through simulation, showing that the greedy knapsack solution achieves within 99% of the optimal allocation in less than 2% of the computation time compared to traditional solvers. The quickness of this policy reduces the computational complexity needed to solve the full data-ferry problem.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132259626","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":"Dynamic Resource Allocation for Efficient Sharing of Services from Heterogeneous Autonomous Vehicles","authors":"B. Kaddouh, W. Crowther, P. Hollingsworth","doi":"10.2514/1.I010452","DOIUrl":"https://doi.org/10.2514/1.I010452","url":null,"abstract":"A novel dynamic resource allocation model is introduced for efficient sharing of services provided by ad hoc assemblies of heterogeneous autonomous vehicles. A key contribution is the provision of capability to dynamically select sensors and platforms within constraints imposed by time dependencies, refueling, and transportation services. The problem is modeled as a connected network of nodes and formulated as an integer linear program. Solution fitness is prioritized over computation time. Simulation results of an illustrative scenario are used to demonstrate the ability of the model to plan for sensor selection, refueling, collaboration, and cooperation between heterogeneous resources. Prioritization of operational cost leads to missions that use cheaper resources but take longer to complete. Prioritization of completion time leads to shorter missions at the expense of increased overall resource cost. Missions can be successfully replanned through dynamic reallocation of new requests during a mission. M...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124436971","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":"Flight-Test Evaluation of Navigation Information in Wide-Field Optical Flow","authors":"Haiyang Chao, Yu Gu, Jason N. Gross, M. Rhudy, M. Napolitano","doi":"10.2514/1.I010482","DOIUrl":"https://doi.org/10.2514/1.I010482","url":null,"abstract":"Wide-field optical flow information can benefit the navigation of small or micro unmanned aerial vehicles in GPS-degraded/denied environments, inspired by the study of insect/bird flights. This paper focuses on a flight-test evaluation of navigation information in wide-field optical flow, using flight data collected by a wide-angle camera installed on a fixed-wing unmanned aerial vehicle at altitudes ranging from 30 to 183 m above the ground. A comprehensive evaluation methodology is proposed for the comparison between optical flows computed from videos and the reference motion fields determined from conventional navigation sensors including GPS, a laser range finder, and inertial sensors. Seven sets of unmanned aerial vehicle flight data including a total of approximately 72,000 image frames are used for both full-flight temporal evaluation and representative interframe spatial evaluation of wide-field optical flow information for unmanned aerial vehicle navigation purposes. The evaluation results showed...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122919748","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":"Trajectory Specification for Terminal Air Traffic: Arrival Spacing","authors":"R. Paielli","doi":"10.2514/1.I010402","DOIUrl":"https://doi.org/10.2514/1.I010402","url":null,"abstract":"“Trajectory specification” is the explicit bounding and control of aircraft trajectories such that the position at each point in time is constrained to a precisely defined volume of space. The bounding space is defined by cross-track, along-track, and vertical tolerances relative to a reference trajectory that specifies position as a function of time. The tolerances are dynamic and are based on the aircraft navigation capabilities and the current traffic situation. A standard language will be developed to represent these specifications and to communicate them by datalink. Assuming conformance, trajectory specification can guarantee safe separation for an arbitrary period of time, even in the event of an air traffic control system or datalink failure; hence, it can help to achieve the high level of safety and reliability needed for air traffic control automation. As a more proactive form of air traffic control, it can also maximize airspace capacity and reduce the reliance on tactical backup systems during...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116276240","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":"Giant Slayer: Will You Let Software be David to Your Goliath System?","authors":"S. Blanchette","doi":"10.2514/1.I010448","DOIUrl":"https://doi.org/10.2514/1.I010448","url":null,"abstract":"Modern aerospace systems are marvels of engineering. Their amazing achievements are due in large part to software, yet relatively few project personnel, especially project management staff, understand or appreciate the significance of it. The lack of understanding and attention to software often dooms large aerospace projects to significant delay if not outright failure. As a motivation, several software-related aerospace incidents, from benign to calamitous, are recounted here to demonstrate the extent of the problem. Frequently repeated oversights witnessed on many large aerospace projects are then reviewed, with an eye toward what can (and should) be done to avoid the pitfalls. The intent is to empower the reader with information and ideas to prevent software from slaying the giant systems that it is built to support.","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127644587","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":"Robust Task Scheduling for Multi-Operator Supervisory Control Missions","authors":"J. R. Peters, L. Bertuccelli","doi":"10.2514/1.I010444","DOIUrl":"https://doi.org/10.2514/1.I010444","url":null,"abstract":"In future collaborative missions involving humans and unmanned aerial vehicles, especially those involving multiple human operators, the issue of resource allocation will be a crucial component to system success. Traditional deterministic strategies for task allocation and scheduling, such as those designed for job-shop applications, can often lead to poor performance in human-centered systems because these strategies fail to account for operator cognitive requirements or for the large amounts of uncertainty in human behavior. In light of this, a flexible framework that can potentially address both of these issues in finite horizon scheduling applications involving multiple operators is presented. Specifically, operator task load constraints are included as a part of a mixed integer program-based scheduling framework, which also incorporates robustness to uncertain processing times through the use of scenarios. The utility and modularity of this framework is then explored through the introduction of adapt...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131961006","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 Intelligent Systems for Space Exploration","authors":"R. Doyle, Steve Ankuo Chien, D. Kortenkamp, M. Woods","doi":"10.2514/1.I010487","DOIUrl":"https://doi.org/10.2514/1.I010487","url":null,"abstract":"S PACEmissions are faced with numerous challenges, in which the thoughtful application of automation and autonomy and the integration of artificial intelligence (AI) techniques can contribute significantly and directly to mission success. Among these challenges are operating in uncertain and extreme environments, managing scarce resources such as power, communications, and computation under severe constraints, and grappling with light-time delays, as well as accomplishing unprecedented functionality such as precision landing on planetary surfaces and achieving science return supportive of discovery, all thewhile grapplingwith the intricate complexity of systems engineering tied to requirements for reliability, robustness, and safety. This Special Issue of the Journal for Aerospace Information Systems pertains to intelligent systems for space exploration. Its publication was inspired by the International Symposium for Artificial Intelligence, Robotics, and Automation in Space (iSAIRAS) conference series. However, there was no requirement that work collected in this issue be derived specifically from reports at an iSAIRAS conference. As guest editors, we solicited work across the following scope of interest: 1) space-based demonstration or application of intelligent systems concepts, 2) ground-based demonstration of autonomous space systems concepts, 3) ground-based demonstration or application of mission operations automation, and 4) laboratory demonstration of AI-based concepts for space missions. Within this general scope, relevant technical topics included space systems autonomy (onboard software for mission planning and execution; resource management; fault protection; science data analysis; guidance, navigation, and control; smart sensors; testing and validation; and architectures) and mission operations automation (decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking, and human–robotic teaming). Submitters were asked to provide technical descriptions of systems and results and analysis of experimentation. Lessons learned in development and operations were also solicited, as relates to systems engineering, testing, and validation. As a final consideration of scope, we encouraged papers addressing any operating regime for space exploration from Earth orbit to deep space (planetary and small-body orbital environments and surfaces), including both robotic and human–robotic mission concepts. In the end, it is clear that there is an abundance of quality research being conducted internationally within the identified scope. The five articles appearing here represent that scope as aworthy sample, but do not come close to exhausting the relevantwork of high quality that is underway. The following is a summary of the specific content of this Special Issue. An implicit but important challenge in achieving success with autonom","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937740","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-Driven Modeling and Analysis Framework for Cockpit Human-Machine Interaction Issues","authors":"Abhishek Vaidya, Sangjin Lee, Inseok Hwang","doi":"10.2514/1.I010466","DOIUrl":"https://doi.org/10.2514/1.I010466","url":null,"abstract":"As the level of automation within an aircraft increases, the interactions between the pilot and autopilot play a crucial role in its proper operation. Issues with human–machine interactions have been cited as one of the main causes behind many aviation accidents. The complex nature of a pilot’s interactions with an autopilot system makes it challenging to identify all possible actions that may lead to an human–machine interaction-related incident. In this paper, a data-driven analysis tool is proposed to detect and categorize potential human–machine interaction issues in large-scale flight operational quality assurance datasets. The proposed tool is developed using a multilevel clustering framework, where a set of basic clustering techniques are combined with a consensus-based approach to group human–machine interaction events and create a data-driven model from the flight operational quality assurance data. The proposed framework is able to effectively compress a large dataset into a small set of represe...","PeriodicalId":179117,"journal":{"name":"J. Aerosp. Inf. Syst.","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129884693","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}