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Energy-Aware Coverage Path Planning of UAVs
Abstract
Coverage path planning is the operation of finding a path that covers all the points of a specific area. Thanks to the recent advances of hardware technology, Unmanned Aerial Vehicles (UAVs) are starting to be used for photogrammetric sensing of large areas in several application domains, such as agriculture, rescuing, and surveillance. However, most of the research focused on finding the optimal path taking only geometrical constraints into account, without considering the peculiar features of the robot, like available energy, weight, maximum speed, sensor resolution, etc. This paper proposes an energy-aware path planning algorithm that minimizes energy consumption while satisfying a set of other requirements, such as coverage and resolution. The algorithm is based on an energy model derived from real measurements. Finally, the proposed approach is validated through a set of experiments.
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Cited by
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Azari, M. M., Solanki, S., Chatzinotas, S., Kodheli, O., Sallouha, H., Colpaert, A., Mendoza Montoya, J. F., Pollin, S., Haqiqatnejad, A., Mostaani, A., et al. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3199901 · Cited by 668
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective
Zhang, S., Zeng, Y., & Zhang, R. (2019) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2880468 · Cited by 426
A drone fleet model for last-mile distribution in disaster relief operations
Rabta, B., Wankmüller, C., & Reiner, G. (2018) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2018.02.020 · Cited by 336
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems
Mozaffari, M., Saad, W., Bennis, M., Nam, Y.-H., & Debbah, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2902862 · Cited by 299
Collaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception
Queralta, J. P., Taipalmaa, J., Pullinen, B. C., Sarker, V. K., Gia, T. N., Tenhunen, H., Gabbouj, M., Raitoharju, J., & Westerlund, T. (2020) · arXiv · doi:10.48550/arxiv.2008.12610 · Cited by 27
Metadata
- Authors
- Di Franco, C., & Buttazzo, G.
- Venue
- 2015 IEEE International Conference on Autonomous Robot Systems and Competitions
- Publisher
- IEEE
- Published
- 2015-04
- Pages
- 111-117
- OpenAlex
- W1561867011
- Cited by
- 360
- References
- 0
- FWCI
- 9.70
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Di Franco, C., & Buttazzo, G. (2015). Energy-Aware Coverage Path Planning of UAVs. 2015 IEEE International Conference on Autonomous Robot Systems and Competitions. https://doi.org/10.1109/icarsc.2015.17
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
