Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles
Unmanned Aerial Vehicles (UAVs), also known as drones, have advanced greatly in recent years. There are many ways in which drones can be used, including transportation, photography, climate monitoring, and disaster relief. The reason for this is their high level of efficiency and safety in all opera...
Main Authors: | Amudhini P. Kalidas, Christy Jackson Joshua, Abdul Quadir Md, Shakila Basheer, Senthilkumar Mohan, Sapiah Sakri |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Drones |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-446X/7/4/245 |
Similar Items
-
A 3D Vision Cone Based Method for Collision Free Navigation of a Quadcopter UAV among Moving Obstacles
by: Zhenxing Ming, et al.
Published: (2021-11-01) -
A Time-Efficient Method to Avoid Collisions for Collision Cones: An Implementation for UAVs Navigating in Dynamic Environments
by: Manaram Gnanasekera, et al.
Published: (2022-04-01) -
A Hybrid Global/Reactive Algorithm for Collision-Free UAV Navigation in 3D Environments with Steady and Moving Obstacles
by: Satish C. Verma, et al.
Published: (2023-11-01) -
Machine learning-based local collision avoidance for maritime navigation
by: Zou, Yixuan
Published: (2024) -
Dynamic Obstacle Avoidance and Path Planning through Reinforcement Learning
by: Khawla Almazrouei, et al.
Published: (2023-07-01)