Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles

Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles

In this work, a new method is proposed that allows the use of a single RGB camera for the real-time detection of objects that could be potential collision sources for Unmanned Aerial Vehicles. For this purpose, a new network with an encoder–decoder architecture has been developed, which allows rapid...

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Bibliographic Details
Main Author: Tomasz Hachaj
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
encoder–decoder network
depth prediction
RGB to depth mapping
obstacle detection
Unmanned Aerial Vehicles
deep neural network
Online Access:https://www.mdpi.com/1424-8220/22/17/6703

Internet

https://www.mdpi.com/1424-8220/22/17/6703

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