Enhancing urban and regional transportation by enabling autonomous aircraft to take off, navigate, and land in complex environments at aviation levels of safety using automotive sensors.
Aircraft operations in urban areas must increase beyond current capacity if the economic growth potential resulting from an advanced air mobility (AAM) infrastructure is to be realised. This requires precision navigation in dense traffic in complex environments, such as inner cities, which are difficult to predict. This makes automated systems key enablers of AAM-driven economic growth.
To create an autonomous flight control system for safe operations in such complex, urban environments, CGI and Continental Engineering Services (CES) studied the feasibility of a situationally aware, hybrid navigation solution. The system is based on ASIL (Automotive Safety Integrity Level)-compliant automotive sensor technology, which are…
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