MRI: Development of an Autonomous, Connected and Data-Driven Vehicle for Multi-Disciplinary Research and Project-Based Learning

该项目旨在开发一种联网和自动驾驶汽车，旨在创建WAVE，这是一个共享的“实时”测试平台，供教师和学生研究无人驾驶汽车的许多方面。涉及研究、实验和数据收集，这些方面包括：安全性、可靠性、性能、连通性、交互性和社会影响。与过去十年无线通信研究的历史类似，研究人员经常使用SDR平台来原型化和评估他们提出的通信系统。随着联网和自动驾驶汽车在未来上路，将会出现许多问题。对于这些研究项目来说，收集数据、进行实验和验证概念，原型车是绝对必要的。整个大学的教师和学生将共享这个“实时”测试平台，以完成他们的研究和教育任务。大量的研究活动和学生项目将利用这一工具，这将有助于实现多学科研究和基于项目的学习的双重目的。该仪器将使涉及但不限于计算机视觉和机器学习、V2V和V2I通信、最优控制和可靠性、大数据分析、人机交互、驾驶员行为和人为因素、社会影响和自动驾驶汽车政策的多学科研究活动成为可能。虽然完全自动驾驶汽车目前还没有商业化，但传感器、处理平台和线控驱动装置等关键部件可以很容易地集成到原型车中。仪器开发团队由来自多个领域的专家组成，包括机器人、电气、机械工程以及计算机科学。主要工作不仅包括硬件/传感器的安装，还包括车辆控制、数据处理和路径规划的软件开发。与文献中的自动驾驶汽车原型相比，所提出的WAVE测试平台具有三个新的特性。它是1。配备DSRC（专用短程通信）模块的联网车辆，可以评估V2V（车对车）和V2I（车对基础设施）主动安全系统；2. 数据驱动平台，收集道路、车辆和驾驶员的大数据；数据将与研究界公开共享；3. 现实世界的工具，为大学教师开发课程的项目为基础的学习，将提高学生的经验，通过本科研究。

This project, developing a connected and autonomous vehicle, aims to create WAVE, a shared 'live' testbed/platform for faculty and students to investigate many aspects of the driveless car. Involving research, experiments, and data collection, these aspects include: safety, reliability, performance, connectivity, interaction, and social impacts. Similar to the history of wireless communications research over the past decade, researchers often utilized SDR platforms to prototype and evaluate their proposed communication systems. As connected and autonomous cars hit the road in the future, there will be many issues. A prototype vehicle becomes absolutely necessary for these research projects to collect data, conduct experiments, and prove concepts. The 'live' testbed will be shared by faculty and students across the university to carry out their research and educational missions. A large number of research activities and student projects will utilize this instrument, which will serve the dual purposes of enabling multidisciplinary research and project-based learning. The instrument will enable multidisciplinary research activities that involve, but are not limited to, computer vision and machine learning, V2V and V2I communications, optimal controls and reliability, big data analysis, human-robot interactions, driver behavior and human factors, social impacts and autonomous vehicle policies.Although a fully autonomous car is not currently commercially available, key components such as sensors, processing platforms, and drive-by-wire devices can readily be integrated to build a prototype. The instrument development team consists of experts from multiple fields, including robotics, electrical, and mechanical engineering, as well as computer science. The main efforts not only includes the hardware/sensors installation, but also the software development for vehicle control, data processing, and path planning. Comparing to the autonomous vehicle prototypes in the literature, the proposed WAVE testbed exhibits three new properties. It will be a 1. Connected vehicle equipped with DSRC (Dedicated Short Range Communications) modules that can evaluate V2V (Vehicle-to Vehicle) and V2I (Vehicle to Infrastructure) active-safety systems; 2. Data-driven platform that will collect big data from roads, vehicles, and drivers; the data will be shared openly with the research community; 3. Real-world tool for university faculty to develop curriculum for project-based learning which will enhance student experience through undergraduate research.