Ellipsoidal Path Planning for Unmanned Aerial Vehicles

Ellipsoidal Path Planning for Unmanned Aerial Vehicles

The research in path planning for unmanned aerial vehicles (UAV) is an active topic nowadays. The path planning strategy highly depends on the map abstraction available. In a previous work, we presented an ellipsoidal mapping algorithm (EMA) that was designed using covariance ellipsoids and clusteri...

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Bibliographic Details
Main Authors: Carlos Villaseñor, Alberto A. Gallegos, Gehova Lopez-Gonzalez, Javier Gomez-Avila, Jesus Hernandez-Barragan, Nancy Arana-Daniel
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
path planning
unmanned aerial vehicles
neural networks
evolutionary algorithms
Online Access:https://www.mdpi.com/2076-3417/11/17/7997

Internet

https://www.mdpi.com/2076-3417/11/17/7997

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