3D Tracking of Multiple Drones Based on Particle Swarm Optimization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-36027-5_18
Reference18 articles.
1. Akyon, F.C., Eryuksel, O., Ozfuttu, K.A., Altinuc, S.O.: Track boosting and synthetic data aided drone detection. In: AVSS 2021–17th IEEE International Conference on Advanced Video and Signal-Based Surveillance, pp. 12–16 (2021). https://doi.org/10.1109/AVSS52988.2021.9663759
2. Eichhorn, C., Jadid, A., Plecher, D.A., Weber, S., Klinker, G., Itoh, Y.: Catching the Drone-A tangible augmented reality game in superhuman sports. In: Adjunct Proceedings of the 2020 IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2020, pp. 24–29 (2020). https://doi.org/10.1109/ISMAR-Adjunct51615.2020.00022
3. Ganti, S.R., Kim, Y.: Implementation of detection and tracking mechanism for small UAS. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE (2016)
4. Jurn, Y.N., Mahmood, S.A., Aldhaibani, J.A.: Anti-drone system based different technologies: architecture, threats and challenges. In: Proceedings - 2021 11th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2021, pp. 114–119, August 2021. https://doi.org/10.1109/ICCSCE52189.2021.9530992
5. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of ICNN’95 - International Conference on Neural Networks, vol. 4, pp. 1942–1948 (1995). https://doi.org/10.1109/ICNN.1995.488968
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