Self-organising Wide area monitoring systems for Autonomous pods, enabling Real-time Marshalling

用于自治吊舱的自组织广域监控系统，可实现实时编组

• 批准号: 103287
• 金额: $ 199.83万
• 依托单位: RICHMOND DESIGN & MARKETING LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=103287
• 关键词: Self; organising; Wide; area; monitoring

Autonomous, or self-driving, vehicles have been hard to miss in the news recently, whether this be Tesla's partially automated 'Auto Pilot' feature, or the fully driverless 'Pods' that arrived on the streets of Milton Keynes in October 2016. As the technology becomes more familiar, people are becoming increasingly confident that individual vehicles will be able to drive and navigate themselves on roads and around people. But a single self-driving car is of limited value, it needs to work as part of an existing transport system – therefore conversations are now moving towards ‘how will they actually work in a city network’. Currently one Pod can move one person (maybe two if sharing), but it needs a trained safety driver to be in the vehicle, plus traffic cameras to monitor its every move and to make sure it does what is expected. This is expensive, so to make autonomous urban transport more efficient - while maintaining safety - we need to share this supervision between the Pods and external systems (cameras and humans). We aim to achieve this by using Swarm Intelligence (what bees or ants do when part of a colony) to enable real-time, collaborative supervision of pods – meaning individual Pods are locally supervised, not only by cameras or humans, but by neighbouring Pods in the Swarm colony.

最近，自动驾驶汽车在新闻中很难错过，无论是特斯拉的部分自动化“自动驾驶”功能，还是2016年10月抵达米尔顿凯恩斯街头的完全无人驾驶“豆荚”。随着这项技术变得越来越熟悉，人们越来越相信，个人车辆将能够在道路上和周围的人驾驶和导航。但是，一辆自动驾驶汽车的价值有限，它需要作为现有交通系统的一部分工作-因此，现在的对话正在转向“它们将如何在城市网络中实际工作”。目前，一个Pod可以移动一个人（如果共享，可能是两个人），但它需要一个受过训练的安全驾驶员在车里，加上交通摄像头来监控它的一举一动，并确保它做了预期的事情。这是昂贵的，因此为了使自动城市交通更高效-同时保持安全-我们需要在Pod和外部系统（摄像头和人类）之间共享这种监督。我们的目标是通过使用群智能（蜜蜂或蚂蚁在殖民地的一部分时所做的事情）来实现对豆荚的实时协作监督-这意味着单个豆荚不仅由摄像机或人类进行本地监督，而且还由群殖民地中的相邻豆荚进行监督。