Enhanced Potential Field-Based Collision Avoidance in Cluttered Three-Dimensional Urban Environments
With the various applications of unmanned aerial vehicles (UAVs), the number of UAVs will increase in limited airspace, leading to an increased risk collision. To reduce such potential risk, this work proposes a collision avoidance strategy for UAVs using an enhanced potential field (EPF) approach i...
Guardado en:
Autores principales: | Daegyun Choi, Donghoon Kim, Kyuman Lee |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f6f04a9a17a64691b8acaedc56dea8ba |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
A Real-Time Collision Avoidance Strategy in Dynamic Airspace Based on Dynamic Artificial Potential Field Algorithm
por: Yanshuang Du, et al.
Publicado: (2019) -
Driver steering assistance for collision avoidance and turning performance optimization by constrained MPC
por: Nobutaka WADA, et al.
Publicado: (2020) -
A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs
por: Yixin He, et al.
Publicado: (2021) -
Air Corridors: Concept, Design, Simulation, and Rules of Engagement
por: Sabrina Islam Muna, et al.
Publicado: (2021) -
Quadrotor Autonomous Navigation in Semi-Known Environments Based on Deep Reinforcement Learning
por: Jiajun Ou, et al.
Publicado: (2021)