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http://hdl.handle.net/10397/98860
| Title: | Multi-UAV navigation for optimized video surveillance of ground vehicles on uneven terrains | Authors: | Savkin, AV Huang, H |
Issue Date: | Sep-2023 | Source: | IEEE transactions on intelligent transportation systems, Sept 2023, v. 24, no. 9, p. 10238-10242 | Abstract: | This paper addresses a trajectory planning problem for a team of UAVs following several ground vehicles on uneven terrain for video surveillance. A model predictive control-based multi-UAV path planning algorithm is designed. A theoretical justification of the path planning algorithm is provided. Extensive simulation studies demonstrate the performance of the proposed method. | Keywords: | Unmanned aerial vehicles Drones Ground traffic monitoring Multi-UAV navigation Path planning Guidance Video surveillance Uneven terrains Ground vehicles Optimal 3D UAV navigation |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE transactions on intelligent transportation systems | ISSN: | 1524-9050 | EISSN: | 1558-0016 | DOI: | 10.1109/TITS.2023.3270969 | Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication A. V. Savkin and H. Huang, "Multi-UAV Navigation for Optimized Video Surveillance of Ground Vehicles on Uneven Terrains," in IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 9, pp. 10238-10242, Sept. 2023 is available at https://dx.doi.org/10.1109/TITS.2023.3270969. |
| Appears in Collections: | Journal/Magazine Article |
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|---|---|---|---|---|
| Savkin_Multi-UAV_Navigation_Optimized.pdf | Pre-Published version | 2.85 MB | Adobe PDF | View/Open |
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