Multi-UAV mission planning method
Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020, Page: 325-330
2020
- 12Citations
- 10Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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.
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
Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.
Bibliographic Details
Institute of Electrical and Electronics Engineers (IEEE)
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know