Robust Autonomous Navigation on Al Approaches

人工智能方法上的鲁棒自主导航

• 批准号: 2497003
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2497003
• 关键词: Robust; Autonomous; Navigation; Al; Approaches

Assured navigation is one of the key enabling technologies for new emerging applications of autonomous systems such as drones and cars within the Smart City and Urban Aerial Mobility ecosystems. In addition to economical and societal benefits, autonomous systems in these emerging areas should be able to provide resilience in cases of disasters and pandemics, for example, by enabling autonomous deliveries in conditions of viral threats (such as COVID 19) without essential risks for couriers or delivery recipients. Current solutions do not provide required level of accuracy and resilience when satellite navigation is challenging, e.g. in urban canyons. There is a growing and urgent need worldwide in high precision hybrid navigation technologies, able to provide assured performance of unmanned vehicles in autonomous safety critical operations.

有保障的导航是智能城市和城市空中交通生态系统中无人机​​和汽车等自主系统新兴应用的关键支持技术之一。除了经济和社会效益外，这些新兴领域的自治系统还应该能够在发生灾难和流行病时提供恢复能力，例如，在病毒威胁（例如 COVID 19）的情况下实现自主交付，而不会给快递员或收件人带来重大风险。当卫星导航具有挑战性时（例如，卫星导航），当前的解决方案无法提供所需的准确性和弹性水平。在城市峡谷中。全球范围内对高精度混合导航技术的需求日益增长且迫切，这些技术能够在自主安全关键操作中为无人驾驶车辆提供有保证的性能。