II: New: Collaborative Research: An Extensible Software Infrastructure for Unmanned Aerial Vehicles

II：新内容：协作研究：无人机的可扩展软件基础设施

• 批准号: 1512992
• 负责人: Yu David Liu
• 金额: $ 4.11万
• 依托单位: SUNY at Binghamton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1512992&HistoricalAwards=false
• 关键词: II; New; Collaborative; Research; Extensible

Unmanned aerial vehicles (UAVs) are an emerging computing platform becoming increasingly common in our society, with diverse applications such as merchandise delivery, traffic control, news reporting, natural disaster management, mobile social networks, and Internet connectivity in third-world countries. Looking forward, the exciting potential of UAVs is accompanied with significant hurdles that call for broad and concerted interdisciplinary research, with diverse foci on real-time system design, energy efficiency, safety and security, programmability, robotics and mechanical design, among others. Unfortunately, the majority of UAV systems today are either proprietary, or specific to particular goals of aviation/robotic missions. In this project, we will explore the feasibility and community support of developing an open-source and extensible software infrastructure for UAVs to promote research and education of this promising technology, ultimately leading to a better understanding, assessment, and possibly wider application of UAVs. The PIs will work with leading experts in both academia and industry in assembling a community.This early-stage exploration will result in a development plan for a first infrastructure to allow for extensible UAV software design across the computing stack, spanning operating systems (OS), virtual machines (VM), compilers, programming languages, and applications. If successful, the planned infrastructure may significantly shift the focus of the state of the art of UAV systems, where refined support is limited to hardware drivers and robotics control, OS/VM support is primitive, and Application Programming Interface (API) is minimal. Additionally, the infrastructure will provide a platform for UAV education, which will allow for students to study UAVs at a significantly earlier stage in a college level curriculum.

无人机（UAV）是一种新兴的计算平台，在我们的社会中变得越来越普遍，具有多种应用，例如商品递送、交通控制、新闻报道、自然灾害管理、移动的社交网络以及第三世界国家的互联网连接。展望未来，无人机令人兴奋的潜力伴随着巨大的障碍，需要广泛而协调的跨学科研究，重点关注实时系统设计，能源效率，安全性，可编程性，机器人和机械设计等。不幸的是，今天的大多数无人机系统要么是专有的，要么是针对航空/机器人任务的特定目标。在这个项目中，我们将探索为无人机开发一个开源和可扩展的软件基础设施的可行性和社区支持，以促进这项有前途的技术的研究和教育，最终导致更好地理解，评估，并可能更广泛地应用无人机。PI将与学术界和工业界的领先专家合作，组建一个社区。这一早期探索将导致第一个基础设施的开发计划，以允许跨计算堆栈的可扩展UAV软件设计，跨越操作系统（OS），虚拟机（VM），编译器，编程语言和应用程序。如果成功的话，计划中的基础设施可能会显著地改变UAV系统最新技术的重点，其中，精细化的支持仅限于硬件驱动程序和机器人控制，OS/VM支持是原始的，并且应用程序编程接口（API）是最小的。此外，该基础设施将为无人机教育提供一个平台，这将使学生能够在大学课程的早期阶段学习无人机。