Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/107426
Title: | Desarrollo de un sistema de conducción autónoma mediante visión artificial basado en una FPGA |
Author: | Escanilla Rodríguez, Borja |
Director: | Monzo, Carlos |
Tutor: | Saura Mas, Xavier |
Abstract: | The target of this paper is to develop a artificial-vision-based System for driving aid. We are going to make a engineering proposal to implement a detector of road rails based in a OV7670 digital càmera and a Field Programmable Gates Array Cyclone IV. The first step is the application of a Canny filtre. This filtre es an edge detector that is able to obtain the edge of the main shapes in a Picture. After that, the System will execute a Hough transform that detects the road rails of the highway in order to the vehicule to continue the route. During the development of this paper, we have demonstrated that a successive application of the Canny Filter and the Hough transform allows the System to be guided through the sample circuit. As an additional security system, we have successfully implemented a frontal collision detector in order to stop the autonomous vehicle in case an obstacle were detected. |
Keywords: | computer vision FPGA autonomous driving |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jan-2020 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
bescanillaTFM0120memoria.pdf | Memoria del TFM | 3,02 MB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License