REU Site: Cognitive and Autonomous Test Vehicles

REU 网站：认知和自主测试车辆

• 批准号: 1659428
• 负责人: Kenneth Head
• 金额: $ 36万
• 依托单位: University of Arizona
• 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: 2017-05-01 至 2021-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1659428&HistoricalAwards=false
• 关键词: REU; Site; Cognitive; Autonomous; Test

This funding provides for a first renewal of a CISE Research Experiences for Undergraduates (REU) site at the University of Arizona. A team of faculty and graduate students will lead undergraduate students in immersive research experiences in the compelling, challenging and timely area of autonomous systems focusing on autonomous cars. Working together in small groups, the students will learn how to design and implement algorithms, test them in a robotics car, analyze data revived from experiments, and present the results. Students will have access to a safe, full-size robotics car testbed for their experiments. The site will target the recruitment of women and groups traditionally under-represented in the computing fields. Participating students will gain first-hand experience in research and get an insight into graduate students' life that will help them make informed decisions in pursuing postgraduate studies as well as in choosing professional careers, hopefully in computer science and engineering.The project is led by an outstanding team offering state-of-the art facilities and professional mentors to guide undergraduates in explorations of real-world problems. Students will undertake projects in the areas of model-based design, cognitive radio, control algorithms, sensory data processing, vehicle-to-vehicle-infrastructure communication, and multi-vehicle algorithm scalability. Due to the nature of the testbed, participants will be required to use a spiral development process, where new requirements are added only after previous requirements are verified. The spiral development process will permit projects to have a large number of potential requirements and allow the students to explore the requirements in which they are most interested. The participating students will gain experience in academic authorship and presentations and develop videos for broad dissemination of their projects. The students will participate in an immersive opportunity to design components of a pervasive system that might prepare them to explore other societal-scale problems in the future.

这笔资金用于首次更新亚利桑那大学的 CISE 本科生研究体验 (REU) 网站。 由教师和研究生组成的团队将带领本科生在以自动驾驶汽车为重点的自动系统领域进行沉浸式研究体验，该领域引人注目、具有挑战性且及时。学生们将以小组形式合作，学习如何设计和实现算法、在机器人汽车中测试算法、分析实验中恢复的数据并展示结果。学生将可以使用安全的全尺寸机器人汽车测试台进行实验。该网站的目标是招聘计算机领域传统上代表性不足的女性和群体。参与的学生将获得第一手的研究经验，并深入了解研究生的生活，这将帮助他们在攻读研究生以及选择职业生涯（希望在计算机科学和工程）方面做出明智的决定。该项目由优秀的团队提供最先进的设施和专业导师，指导本科生探索现实世界的问题。学生将承担基于模型的设计、认知无线电、控制算法、传感数据处理、车辆到车辆基础设施通信和多车辆算法可扩展性等领域的项目。 由于测试台的性质，参与者将被要求使用螺旋式开发流程，只有在验证了先前的要求后才添加新的要求。螺旋式开发过程将使项目具有大量潜在需求，并允许学生探索他们最感兴趣的需求。参与的学生将获得学术创作和演示方面的经验，并制作视频以广泛传播他们的项目。 学生将有机会参与设计普遍系统组件的沉浸式机会，这可能为他们未来探索其他社会规模的问题做好准备。

项目成果

Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments

• DOI: 10.1016/j.trc.2018.02.005
• 发表时间: 2017-05-04
• 期刊: ArXiv
• 作者: Raphael E. Stern;Shumo Cui;M. D. Monache;R. Bhadani;Matt Bunting;M. Churchill;Nathaniel P. Hamilton
• 通讯作者: Nathaniel P. Hamilton