A State-of-the-Art Literature Review on Drone Optimization
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44706-8_6
Reference30 articles.
1. Bansal, J. C., et al. (2022). Drone flocking optimization using NSGA-II and principal component analysis. arXiv preprint arXiv:2205.00432.
2. Vásárhelyi, G., et al. (2018). Optimized flocking of autonomous drones in confined environments. Science Robotics, 3(20), eaat3536.
3. Chung, S. H., Sah, B., & Lee, J. (2020). Optimization for drone and drone-truck combined operations: A review of the state of the art and future directions. Computers & Operations Research, 123, 105004.
4. Yuan, Q., Zhan, J., & Li, X. (2022). Outdoor flocking of quadcopter drones with decentralized model predictive control. ISA Transactions, 71, 84–92.
5. Schilling, F., Schiano, F., & Floreano, D. (2021). Vision-based drone flocking in outdoor environments. IEEE Robotics and Automation Letters, 6(2), 2954–2961.
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