Detection and classification of road and objects in panoramic images on board the ATLASCAR2 using Deep Learning

Master Thesis Blog

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More about this blog.

Autonomous mobility is constantly evolving, and it will change how we get around forever.
The main goal of this thesis is to develop a solution that could detect and classify the road and objects on it, using networks with Deep Learning.
In this blog you can follow the development of my master thesis, where weekly updates will be made!

Weekly Tasks

Find more about the work that I have been doing.

Week 1 & 2

Getting started

Week 3

First Researches

Week 4

Lar meeting

Week 5

Week 6

Panoramic Images

Week 7

More Researches

Week 8

Panoramic Images

Week 9

Images Classification

Week 10

Workflow and segmentation

Week 11

Jupyter and some recordings

Week 12

Panoramic Road

Week 13

Image Labelling

Week 14

Kornia WarpPerspective

Week 15

Unselecting Images

Week 16

Image gathering and setup in ATLASCAR

Week 17

Camera mounts and HUB


Here you can get to know more about me.

Rúben Costa

Mechanical Engineering Student

My name is Rúben and I am a student of Mechanical Engineering at the University of Aveiro in Portugal. I am an enthusiast of motorsport and autonomous mobility and I am also the Team Manager of Engenius, the Formula Student team of the University of Aveiro.
I enjoy working as a team and try to explore innovative ideas with the goal of making a difference.