CI-New: Collaborative Research: Developing an Open Networked Airborne Computing Platform

CI-New：协作研究：开发开放式网络机载计算平台

• 批准号: 1730589
• 负责人: Junfei Xie
• 金额: $ 22.43万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730589&HistoricalAwards=false
• 关键词: CI; New; Collaborative; Research; Developing

Networked airborne computing is a novel computing paradigm that can benefit many important civilian applications, including intelligent transportation, emergency response, infrastructure monitoring, precision agriculture, etc. Networked airborne computing also opens up many new fundamental research opportunities. Despite its importance, existing infrastructures for Unmanned Airborne Systems (UAS) research cannot serve the research needs because they are often designed specifically for a single purpose and/or oriented to missions that involve a single aircraft. Therefore, an open networked airborne computing infrastructure is critically needed to enable the Computer and Information Science and Engineering (CISE) communities and beyond to participate in new research and development in this burgeoning field. This project is expected to produce broad impact related to cooperative multi-UAS applications in emergency, energy, environment, and transportation sectors. This project also provides Science, Technology, Engineering and Mathematics learning opportunities, and expands underrepresented minority participation. Three of the participating universities are minority-serving and/or Hispanic serving institutions with a large number of underrepresented minority students. The objective of this project is to develop a new community infrastructure to enable advanced research on networked airborne computing systems. Specifically, the proposed community infrastructure will provide hardware/software designs and development tools, workshop and training opportunities, and field-test support in a Federal Aviation Administration-designated test site. The proposed airborne computing platform is innovative in that it includes a UAS-mounted generic and interactive computing system, a broadband wireless communication system, a UAS/antenna cooperative control system, and up-to-down application development capabilities to support a full-scale development. Both hardware and software are open-sourced and designed in modules with virtualization support so that CISE researchers can easily enhance or replace modules and instantiate additional virtualized functions to facilitate various research and development activities for networked airborne computing applications and services. The modular design, flexibility and extensibility for new development allow researchers to easily isolate and develop specific components of their own research focus while relying on the basic functionality of other components, thus saving significant cost and time for learning and development. The project opens up opportunities for CISE researchers to quickly develop and test solutions that address many new fundamental challenges in networked airborne computing, and to significantly advance cross-cutting research and development in computing, communication, control, and aerospace.

网络机载计算是一种新颖的计算范式，可以惠及许多重要的民用应用，包括智能交通、应急响应、基础设施监控、精准农业等。网络机载计算也开辟了许多新的基础研究机会。尽管无人机系统（UAS）研究的现有基础设施很重要，但它无法满足研究需求，因为它们通常是专门为单一目的而设计的和/或面向涉及单架飞机的任务。因此，迫切需要开放式网络机载计算基础设施，以使计算机和信息科学与工程 (CISE) 社区及其他社区能够参与这一新兴领域的新研究和开发。该项目预计将对应急、能源、环境和交通领域的多无人机系统合作应用产生广泛影响。该项目还提供科学、技术、工程和数学学习机会，并扩大代表性不足的少数族裔的参与。其中三所参与的大学是少数族裔服务和/或西班牙裔服务机构，拥有大量少数族裔学生。该项目的目标是开发一个新的社区基础设施，以实现网络机载计算系统的高级研究。具体来说，拟议的社区基础设施将提供硬件/软件设计和开发工具、研讨会和培训机会，以及在联邦航空管理局指定的测试场地进行现场测试支持。所提出的机载计算平台的创新之处在于，它包括无人机上安装的通用和交互式计算系统、宽带无线通信系统、无人机/天线协同控制系统以及自上而下的应用开发能力，以支持全面的应用开发。发展。硬件和软件都是开源的，并以支持虚拟化的模块进行设计，以便CISE研究人员可以轻松增强或替换模块并实例化额外的虚拟化功能，以促进网络机载计算应用和服务的各种研发活动。模块化设计、新开发的灵活性和可扩展性使研究人员可以轻松地隔离和开发自己研究重点的特定组件，同时依赖其他组件的基本功能，从而节省大量的学习和开发成本和时间。该项目为 CISE 研究人员提供了快速开发和测试解决方案的机会，这些解决方案可解决网络机载计算中的许多新的基本挑战，并显着推进计算、通信、控制和航空航天领域的跨领域研究和开发。

项目成果

DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors

• DOI: 10.1109/iros47612.2022.9981441
• 发表时间: 2022-02
• 期刊: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
• 作者: Baoqian Wang;Junfei Xie;Nikolay A. Atanasov

An Integrated Traveling Salesman and Coverage Path Planning Problem for Unmanned Aircraft Systems

• DOI: 10.1109/lcsys.2018.2851661
• 发表时间: 2019-01-01
• 期刊: IEEE CONTROL SYSTEMS LETTERS
• 影响因子: 3
• 作者: Xie, Junfei;Carrillo, Luis Rodolfo Garcia;Jin, Lei
• 通讯作者: Jin, Lei

3-D Trajectory Modeling for Unmanned Aerial Vehicles

无人机 3-D 轨迹建模

• DOI: 10.2514/6.2019-1061
• 发表时间: 2019
• 期刊: AIAA Scitech 2019 Forum
• 作者: Wang, Baoqian;Xie, Junfei;Wan, Yan;Guijarro Reyes, Gabriel Alexis;Garcia Carrillo, Luis Rodolfo
• 通讯作者: Garcia Carrillo, Luis Rodolfo

Enabling High-Performance Onboard Computing with Virtualization for Unmanned Aerial Systems

• DOI: 10.1109/icuas.2018.8453368
• 发表时间: 2018-06
• 期刊: 2018 International Conference on Unmanned Aircraft Systems (ICUAS)
• 作者: Baoqian Wang;Junfei Xie;Songwei Li;Yan Wan;Shengli Fu;K. Lu

Toward UAV-Based Airborne Computing

• DOI: 10.1109/mwc.2019.1900025
• 发表时间: 2019-08
• 期刊: IEEE Wireless Communications
• 影响因子: 12.9
• 作者: K. Lu;Junfei Xie;Yan Wan;Shengli Fu