Artificial Intelligence Supervised Swarm UAVs for Reconnaissance

Author:

Awasthi Saatvik,Balusamy Balamurugan,Porkodi V.

Publisher

Springer Singapore

Reference15 articles.

1. Cooley, R., Wolf, S., Borowczak, M.: Secure and decentralized swarm behavior with autonomous agents for smart cities. In: 2018 IEEE International Smart Cities Conference (ISC2) (2018). https://doi.org/10.1109/isc2.2018.8656939

2. Zeng, Z., Sammut, K., Lian, L., Lammas, A., He, F., Tang, Y.: Rendezvous path planning for multiple autonomous marine vehicles, 0364-9059 © 2017 IEEE (2017)

3. Hildmann, H., Kovacs, E., Saffre, F., Isakovic, A.F.: Nature-inspired drone swarming for real-time aerial data-collection under dynamic operational constraints, 4 September 2019. Received: 31 July 2019; Accepted: 28 August 2019

4. Schilling, F., Lecoeur, J., Schiano, F., Floreano, D.: Learning vision-based flight in drone swarms by imitation. IEEE robot. Autom. Lett. 4, 4523–4530 (2019)

5. Khan, M.A., Khan, I.U., Safi, A., Quershi, I.M.: Dynamic routing in flying ad-hoc networks using topology-based routing protocols, 14 August 2018. Received: 18 June 2018; Accepted: 9 August 2018

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