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Robust Autonomous Navigation on Al Approaches

Robust Autonomous Navigation on Al Approaches
人工智能方法上的鲁棒自主导航
批准号:
2497003
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
翻译
保证导航是智能城市和城市空中移动生态系统中无人机和汽车等新兴自主系统应用的关键使能技术之一。除了经济和社会效益外,这些新兴地区的自主系统应该能够在发生灾害和流行病的情况下提供复原力,例如,能够在病毒威胁的情况下(如COVID 19)自主投递,而不会对快递员或收件人造成重大风险。当卫星导航具有挑战性时,例如在城市峡谷中,目前的解决方案不能提供所需的精度和弹性水平。全球对高精度混合导航技术的需求日益增长和迫切,能够在自主安全关键操作中提供无人驾驶车辆的可靠性能。
英文摘要
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.
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