Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond
Developing aerial robots that can both safely navigate and execute assigned mission without any human intervention – i.e., fully autonomous aerial mobility of passengers and goods – is the larger vision that guides the research, design, and development efforts in the aerial aut...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10343091/ |
| _version_ | 1797392273600675840 |
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| author | Sakshi Mishra Praveen Palanisamy |
| author_facet | Sakshi Mishra Praveen Palanisamy |
| author_sort | Sakshi Mishra |
| collection | DOAJ |
| description | Developing aerial robots that can both safely navigate and execute assigned mission without any human intervention – i.e., fully autonomous aerial mobility of passengers and goods – is the larger vision that guides the research, design, and development efforts in the aerial autonomy space. However, it is highly challenging to concurrently operationalize all types of aerial vehicles that are operating fully autonomously sharing the airspace. Full autonomy of the aerial transportation sector includes several aspects, such as design of the technology that powers the vehicles, operations of multi-agent fleets, and process of certification that meets stringent safety requirements of aviation sector. Thereby, Autonomous Advanced Aerial Mobility is still a vague term and its consequences for researchers and professionals are ambiguous. To address this gap, we present a comprehensive perspective on the emerging field of autonomous advanced aerial mobility, which involves the use of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft for various applications, such as urban air mobility, package delivery, and surveillance. The article proposes a scalable and extensible autonomy framework consisting of four main blocks: sensing, perception, planning, and controls. Furthermore, the article discusses the challenges and opportunities in multi-agent fleet operations and management, as well as the testing, validation, and certification aspects of autonomous aerial systems. Finally, the article explores the potential of monolithic models for aerial autonomy and analyzes their advantages and limitations. The perspective aims to provide a holistic picture of the autonomous advanced aerial mobility field and its future directions. |
| first_indexed | 2024-03-08T23:44:52Z |
| format | Article |
| id | doaj.art-94187975328641238ed693a7aed53344 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T23:44:52Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-94187975328641238ed693a7aed533442023-12-14T00:01:55ZengIEEEIEEE Access2169-35362023-01-011113631813634910.1109/ACCESS.2023.333963110343091Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and BeyondSakshi Mishra0https://orcid.org/0000-0002-5202-8676Praveen Palanisamy1https://orcid.org/0000-0001-9069-3071Autonomous Systems Group, Project AirSim, Microsoft Business AI Research, Redmond, WA, USAAutonomous Systems Group, Project AirSim, Microsoft Business AI Research, Redmond, WA, USADeveloping aerial robots that can both safely navigate and execute assigned mission without any human intervention – i.e., fully autonomous aerial mobility of passengers and goods – is the larger vision that guides the research, design, and development efforts in the aerial autonomy space. However, it is highly challenging to concurrently operationalize all types of aerial vehicles that are operating fully autonomously sharing the airspace. Full autonomy of the aerial transportation sector includes several aspects, such as design of the technology that powers the vehicles, operations of multi-agent fleets, and process of certification that meets stringent safety requirements of aviation sector. Thereby, Autonomous Advanced Aerial Mobility is still a vague term and its consequences for researchers and professionals are ambiguous. To address this gap, we present a comprehensive perspective on the emerging field of autonomous advanced aerial mobility, which involves the use of unmanned aerial vehicles (UAVs) and electric vertical takeoff and landing (eVTOL) aircraft for various applications, such as urban air mobility, package delivery, and surveillance. The article proposes a scalable and extensible autonomy framework consisting of four main blocks: sensing, perception, planning, and controls. Furthermore, the article discusses the challenges and opportunities in multi-agent fleet operations and management, as well as the testing, validation, and certification aspects of autonomous aerial systems. Finally, the article explores the potential of monolithic models for aerial autonomy and analyzes their advantages and limitations. The perspective aims to provide a holistic picture of the autonomous advanced aerial mobility field and its future directions.https://ieeexplore.ieee.org/document/10343091/Autonomous systemsadvanced air mobilityautonomous aerial systemsroboticsunmanned aerial vehiclesurban air mobility |
| spellingShingle | Sakshi Mishra Praveen Palanisamy Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond IEEE Access Autonomous systems advanced air mobility autonomous aerial systems robotics unmanned aerial vehicles urban air mobility |
| title | Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond |
| title_full | Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond |
| title_fullStr | Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond |
| title_full_unstemmed | Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond |
| title_short | Autonomous Advanced Aerial Mobility—An End-to-End Autonomy Framework for UAVs and Beyond |
| title_sort | autonomous advanced aerial mobility x2014 an end to end autonomy framework for uavs and beyond |
| topic | Autonomous systems advanced air mobility autonomous aerial systems robotics unmanned aerial vehicles urban air mobility |
| url | https://ieeexplore.ieee.org/document/10343091/ |
| work_keys_str_mv | AT sakshimishra autonomousadvancedaerialmobilityx2014anendtoendautonomyframeworkforuavsandbeyond AT praveenpalanisamy autonomousadvancedaerialmobilityx2014anendtoendautonomyframeworkforuavsandbeyond |