Tutor: Antonio AgudoSelf-driving cars have gained popularity in recent years. The increase in computational power coupled with big data has enabled the application of artificial intelligence in such complex areas as driving. Specifically, it is the field of deep learning that has revolutionized these applications. The use of models based on artificial neural networks has achieved great results in a short period of time. In this project we adapt a conventional radio-controlled car into a small-scale autonomous system. The car is able to drive autonomously thanks to the information provided by an RGB monocular camera. We analyze the whole process from assembly, data acquisition, training and test bench.Els cotxes autònoms han guanyat pop...
Nowadays self-directed learning and automation are not restricted to human beings only. If you stare...
In this paper, a project is described which is a 2-D modelled version of a car that will learn how t...
This presentation was aimed to explore the growing opportunities to merge two booming fields: deep l...
With the age of automation coming to machines, self driving cars will turn from a fantasy to a reali...
Autonomous vehicles promise large benefits for humanity, such as a significant reduction of injuries...
Autonomous vehicles rely on sophisticated hardware and software technologies for acquiring holistic ...
Our research focuses on building a student affordable platform for scale model self-driving cars. Th...
Tesis doctoral presentada para lograr el título de Doctor por la Universidad Politécnica de Cataluña...
Abstract—Future cars are anticipated to be driverless; point-to-point transportation services capabl...
The Deep Orange project is working towards providing autonomous driving capabilities for vehicles, w...
For the recent years, there has been a flood of enthusiasm for self-driving vehicles. This is becaus...
This work consists in the study, adaptation and implémentation of neural network algorithms for the ...
Autonomous car, as the name suggests, a car that can drive on its own is the very concept that is be...
Self-driving cars have emerged as a promising technology for revolutionizing the transportation indu...
Self-driving vehicles will provide more than a luxury in this era. In this study, we are implementin...
Nowadays self-directed learning and automation are not restricted to human beings only. If you stare...
In this paper, a project is described which is a 2-D modelled version of a car that will learn how t...
This presentation was aimed to explore the growing opportunities to merge two booming fields: deep l...
With the age of automation coming to machines, self driving cars will turn from a fantasy to a reali...
Autonomous vehicles promise large benefits for humanity, such as a significant reduction of injuries...
Autonomous vehicles rely on sophisticated hardware and software technologies for acquiring holistic ...
Our research focuses on building a student affordable platform for scale model self-driving cars. Th...
Tesis doctoral presentada para lograr el título de Doctor por la Universidad Politécnica de Cataluña...
Abstract—Future cars are anticipated to be driverless; point-to-point transportation services capabl...
The Deep Orange project is working towards providing autonomous driving capabilities for vehicles, w...
For the recent years, there has been a flood of enthusiasm for self-driving vehicles. This is becaus...
This work consists in the study, adaptation and implémentation of neural network algorithms for the ...
Autonomous car, as the name suggests, a car that can drive on its own is the very concept that is be...
Self-driving cars have emerged as a promising technology for revolutionizing the transportation indu...
Self-driving vehicles will provide more than a luxury in this era. In this study, we are implementin...
Nowadays self-directed learning and automation are not restricted to human beings only. If you stare...
In this paper, a project is described which is a 2-D modelled version of a car that will learn how t...
This presentation was aimed to explore the growing opportunities to merge two booming fields: deep l...