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Unmanned aerial vehicle trajectory planning based on enhanc..:
, In:
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
,
Tang, Anru
;
Liu, Yian
;
Song, Hailing
- p. 136-140 , 2022
Link:
https://doi.org/10.1109/DCABES57229.2022.00079
RT T1
2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)
: T1
Unmanned aerial vehicle trajectory planning based on enhanced sparrow search algorithm
UL https://suche.suub.uni-bremen.de/peid=ieee-10036650&Exemplar=1&LAN=DE A1 Tang, Anru A1 Liu, Yian A1 Song, Hailing YR 2022 SN 2473-3636 K1 Learning systems K1 Costs K1 Trajectory planning K1 Sociology K1 Autonomous aerial vehicles K1 Search problems K1 Trajectory K1 Sparrow search algorithm K1 Unmanned aerial vehicle K1 Halton sequence K1 Quasi-reflection learning SP 136 OP 140 LK http://dx.doi.org/https://doi.org/10.1109/DCABES57229.2022.00079 DO https://doi.org/10.1109/DCABES57229.2022.00079 SF ELIB - SuUB Bremen
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