Evolutionary algorithm based offline/online path planner for UAV navigation

By Ioannis K. Nikolos, Kimon P. Valavanis, N. Tsourveloudis, Anargyros N. Kostaras. IEEE Trans. Syst. Man Cybern. Part B, 2003

504 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/2aef7c0d3585fc620cb20105adcf38dbf6e0dfe1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Jihong Park
2. Medhi Bennis
3. Hamid Shiri
4. James F. Campbell
5. Bruce L. Golden
6. Niels A. H. Agatz
7. Erwin Pesch
8. Alena Otto

In Computer Vision and Pattern Recognition

1. Medhi Bennis
2. Jihong Park

Citations in the corpus

• Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond (2019, unknown): “[125] I.”
• Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach (2019, methodology): “In online control, an evolutionary algorithm [8] and a partially observable Markov decision process based method [9] have been proposed.”
• Optimization approaches for civil applications of unmanned aerial vehicles (UAVs) or aerial drones: A survey (2018, background): “Thus, we do not include articles on obstacle-avoiding path planning from a given starting point to a given end point [12, 63, 108, 153, 194, 203, 220, 227, 245, 306] or on planning trajectories of drones flying in formation [220].”