This work presents AutoDRIVE, a comprehensive research and education platform for implementing and validating intelligent transportation algorithms pertaining to vehicular autonomy as well as smart city management. It is an openly accessible platform featuring a 1:14 scale car with realistic drive and steering actuators, redundant sensing modalities, high-performance computational resources, and standard vehicular lighting system. Additionally, the platform also offers a range of modules for rapid design and development of the infrastructure. The AutoDRIVE platform encompasses Devkit, Simulator and Testbed, a harmonious trio to develop, simulate and deploy autonomy algorithms. It is compatible with a variety of software development packages, and supports single as well as multi-agent paradigms through local and distributed computing. AutoDRIVE is a product-level implementation, with a vast scope for commercialization. This versatile platform has numerous applications, and they are bound to keep increasing as new features are added. This work demonstrates four such applications including autonomous parking, behavioural cloning, intersection traversal and smart city management, each exploiting distinct features of the platform.
翻译:这项工作提出了“自动驱动”,这是一个实施和验证与车辆自主和智能城市管理有关的智能运输算法的全面研究和教育平台,是一个公开开放的平台,拥有1:1-14比例的汽车,配有现实的驱动器和驱动器、冗余感测模式、高性能计算资源和标准车辆照明系统;此外,该平台还提供一系列快速设计和发展基础设施的模块;该平台包括Devkit、模拟器和测试仪,这是一个开发、模拟和部署自主算法的和谐三角体;该平台与各种软件开发包兼容,通过本地和分布式计算支持单一和多试剂模式;自动驱动器是一个产品级的实施,具有广泛的商业化范围;这一多功能平台有许多应用,随着新特点的增加,它们势必不断增长;该工作展示了四个应用,包括自主停车、行为克隆、交叉跨车和智能城市管理,每个都利用平台的特性。