Recognition of objects based on deep learning in an RPAS

Teodoro Álvarez-Sánchez; Jesús A. Álvarez-Cedillo; Roberto Herrera-Charles

doi:10.1117/12.2569147

21 August 2020 Recognition of objects based on deep learning in an RPAS

Teodoro Álvarez-Sánchez, Jesús A. Álvarez-Cedillo, Roberto Herrera-Charles

Proceedings Volume 11510, Applications of Digital Image Processing XLIII; 115100T (2020) https://doi.org/10.1117/12.2569147
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

A combination between research lines of robotics and artificial intelligence and using computer vision, this consists of using robotic systems that can recognize and understand images and scenes, generally integrate the Areas: detection of objects image recognition and Image Generation Object detection is sophisticated and more in robotics due to countless applications that can develop through image processing. This article shows the implementation of the NVIDIA® Jetson development card in a remote control unmanned aerial system (RPAS) for object recognition, based on focal loss. Hence, it is a challenge to obtain results, which it faces to develop it will show in the expected final solution.

Conference Presentation

Citation Download Citation

Teodoro Álvarez-Sánchez, Jesús A. Álvarez-Cedillo, and Roberto Herrera-Charles "Recognition of objects based on deep learning in an RPAS", Proc. SPIE 11510, Applications of Digital Image Processing XLIII, 115100T (21 August 2020); https://doi.org/10.1117/12.2569147

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available