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Application of neural networks to the collision avoidance problem in 2D based on the TensorFlow library

 

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Opened Access Application of neural networks to the collision avoidance problem in 2D based on the TensorFlow library
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Author: Fernández Niederacher, Rebeca
Director: Maza Alcañiz, Iván
Ollero Baturone, Aníbal
Department: Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática
Date: 2018
Document type: Final Degree Work
Academic Title: Universidad de Sevilla. Grado en Ingeniería Electrónica, Robótica y Mecatrónica
Abstract: The objective of this paper is the learning and initiation into the world of neural networks using the Google tool, TensorFlow. In order to do this, we consider a series of algorithms whose purpose is the control of a drone which can move in a speci...
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Cite: Fernández Niederacher, R. (2018). Application of neural networks to the collision avoidance problem in 2D based on the TensorFlow library. (Trabajo Fin de Grado Inédito). Universidad de Sevilla, Sevilla.
Size: 2.888Mb
Format: PDF

URI: https://hdl.handle.net/11441/84586

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