Campus del Baix Llobregat
 
Projectes oferts

Projectes matriculats

Tribunals i dates de lectura

Projectes llegits
(2019-2)

DG ENG AERO/SIS TEL

DG ENG AERO/TELEMÀT

DG ENG SISTE/TELEMÀT

ENG TELEC 2NCICLE 01

ET AERO/ETT SIST 05

ET AERONÀUTICA 03

ETT SIST/ ET AERO 05

ETT SIST TELEC 00

ETT SIST TELEC 91

ETT TELEMÀTICA 00

GR ENG AERONAVEGACIÓ

GR ENG AEROPORTS

GR ENG SIS TELECOMUN

GR ENG SIST AEROESP

GR ENG TELEMÀTICA

MU AEROSPACE S&T 09

MU DRONS

MU MASTEAM 2009

MU MASTEAM 2015

Cerca projectes

Calendari TFG de dipòsit i lectura

Documentació

Web UPC


 

Projecte llegit

Títol: Navegació autònoma per quadròpters voladors usant VSLAM i intel·ligència artificial

Estudiants que han llegit aquest projecte:

Director: LÓPEZ RUBIO, Juan

Departament: DAC

Títol: Navegació autònoma per quadròpters voladors usant VSLAM i intel·ligència artificial

Data inici oferta: 31-01-2020     Data finalització oferta: 30-09-2020


Estudis d'assignació del projecte:
    GR ENG SIST AEROESP
Tipus: Individual
 
Lloc de realització: EETAC
 
Paraules clau:
lsd-slam drone indoor positioning visual odometry camera navigation
 
Descripció del contingut i pla d'activitats:
The project will implement an AI based indoor positioning system
for
quadcopters.
 
Overview (resum en anglès):

When it comes to moving robots, there is a major drawback in autonomous navigation, as adding the sense of sight to a machine can be very complicated. There are other sensors that can help a robot interact with the environment, such as ultrasonic distance sensors, used to prevent collisions with objects or pressure sensors, to know the height of the robot. In addition, GPS navigation methods can be very useful for managing robot movements in an open space more or less accurately.

However, for indoor applications where the GPS signal is deficient or non-existent, we must fully rely on the data from our sensors. A sensor that, for this project, will be a 2D camera without any depth information.

In this paper we will study the LSD-SLAM System with integration with ROS technology. All tests will be performed using the Gazebo simulator, in a virtual space. All procedures followed in this project have been tested on Ubuntu 16.04.

This document describes all the steps to install and configure ROS technology, along with the aforementioned simulator and the LSD-SLAM system. In addition, flight tests will be carried out indoors and outdoors where we will check the effectiveness of the algorithm. This will be quantified and measured between the two scenarios.

All the packages needed to be able to rebuild the project can be found in the references.


Data de generació 26/01/2021