UAV mission planning subject to weather forecast constraints
Advances in Intelligent Systems and Computing, ISSN: 2194-5365, Vol: 1004, Page: 65-76
2020
- 17Citations
- 24Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
A multi-trip UAV delivery problem is considered in which trajectories are planned for UAVs operating in a hostile environment. UAV battery capacity and payload weight as well as vehicle reuse are taken into account. A fleet of homogeneous UAVs fly in a 2D plane matching a distribution network to service customers in a collision-free manner. The goal is to obtain a sequence of sub-missions that will ensure delivery of requested amounts of goods to customers, satisfying their demands within a given time horizon under the given weather forecast constraints. In this context, our objective is to establish the relationships linking decision variables such as wind speed and direction, battery capacity and payload weight. Computational experiments which allow to assess alternative strategies of UAV sub-mission planning are presented.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85068600879&origin=inward; http://dx.doi.org/10.1007/978-3-030-23946-6_8; https://link.springer.com/10.1007/978-3-030-23946-6_8; https://dx.doi.org/10.1007/978-3-030-23946-6_8; https://link.springer.com/chapter/10.1007/978-3-030-23946-6_8
Springer Science and Business Media LLC
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