Abstract
This paper investigates the multi Unmanned Aerial Vehicle (UAV) target tracking mission based on the vision and communication information. Firstly, the multiple UAV platform is established to achieve the target tracking mission. Furthermore, utilizing deep learning algorithm, target detection is accomplished based on UAV vision. Thirdly, each UAV could communicate with others to share target information and track it by maintaining the certain distance. Finally, the effectiveness of multi UAV target tracking system is verified on the actual test.
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Liu, C., Wang, D., Tang, Y., Xu, B. (2021). Multi UAV Target Tracking Based on the Vision and Communication Information. In: Sun, F., Liu, H., Fang, B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_58
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DOI: https://doi.org/10.1007/978-981-16-2336-3_58
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