Author:
Ayala Angel,Portela Leticia,Buarque Fernando,Fernandes Bruno J. T.,Cruz Francisco
Abstract
AbstractResearch interest in autonomous control of unmanned aerial vehicles (UAVs) has increased rapidly over the past decade. They are now widely used in civilian, military, and private areas. Applications include surveillance, search and rescue, and delivery tasks. More broadly, they excel at solving problems where a significant amount of space must be covered and traveled. However, using UAVs to solve navigation problems with full autonomy necessitates the mastering of complex subtasks. A solution that includes control, planning, localization, and mapping remains an open challenge. Object-goal navigation contains the same navigation problems where the main objective is to reach a target object. The search and identification of this target are central to the vehicle’s navigation. This requires an understanding of what it is and where it can be located to move around the scene. This paper presents a systematic literature review on object-goal navigation and its subtasks, using autonomous UAVs. Survey taxonomies were found for the tasks and methods behind navigation and target localization problems using UAVs. The review analyzed 67 articles found between 2011 and 2022. They were found in the ACM, IEEE Xplore, WebOfScience, Science Direct, and Scopus databases. This review revealed essential issues related to autonomous navigation task dependencies. Moreover, it highlighted gaps in UAV development and framework standardization. Open challenges for autonomous UAV control for object-goal navigation must address the research on finding methods for problems. For example, autonomy level and comparison metrics, considering safety, ethics, and legal implications.
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Publisher
Springer Science and Business Media LLC
Reference93 articles.
1. Abdulov A, Abramenkov A, Rusakov K et al (2022) Problems solved during AEROBOT-2021 UAV challenge. Procedia Comput Sci 207:2077–2085. https://doi.org/10.1016/J.PROCS.2022.09.267
2. Afman JP, Ciarletta L, Feron E et al (2018) Towards a new paradigm of UAV safety. arXiv:1803.09026
3. Agrawal A, Cleland-Huang J (2021) RescueAR: Augmented reality supported collaboration for UAV driven emergency response systems. arXiv:2110.00180
4. Alarcon EPH, Ghavifekr DB, Baris G et al (2021) An efficient object-oriented exploration algorithm for unmanned aerial vehicles. 2021 International Conference on Unmanned Aircraft Systems, ICUAS 2021 pp 330–337. https://doi.org/10.1109/ICUAS51884.2021.9476764
5. Albanese A, Nardello M, Brunelli D (2022) Low-power deep learning edge computing platform for resource constrained lightweight compact UAVs. Sustain Comput Inform Syst 34(100):725. https://doi.org/10.1016/J.SUSCOM.2022.100725