Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/afondiel/sdcs-prerequisites-uoft

A list of recommended prerequisites for University of Toronto's Self-Driving Cars Specialization Prerequisites.
https://github.com/afondiel/sdcs-prerequisites-uoft

self-driving-car self-driving-car-engineer self-driving-car-simulation self-driving-cars-specialization university-of-toronto uoft-course

Last synced: about 1 month ago
JSON representation

A list of recommended prerequisites for University of Toronto's Self-Driving Cars Specialization Prerequisites.

Host: GitHub
URL: https://github.com/afondiel/sdcs-prerequisites-uoft
Owner: afondiel
License: apache-2.0
Created: 2024-12-14T16:51:39.000Z (about 1 month ago)
Default Branch: main
Last Pushed: 2024-12-14T19:04:20.000Z (about 1 month ago)
Last Synced: 2024-12-14T20:18:24.911Z (about 1 month ago)
Topics: self-driving-car, self-driving-car-engineer, self-driving-car-simulation, self-driving-cars-specialization, university-of-toronto, uoft-course
Homepage: https://github.com/afondiel/Self-Driving-Cars-Specialization/tree/main?tab=readme-ov-file
Size: 21.5 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        [![](https://img.shields.io/badge/Contribute-Welcome-green)](#)

# **University of Toronto Self-Driving Cars Specialization Prerequisites**

## Overview

A list of recommended prerequisites for the [University of Toronto's Self-Driving Cars Specialization](https://github.com/afondiel/Self-Driving-Cars-Specialization/tree/main?tab=readme-ov-file) Prerequisites.



## Programming Languages

- Python:

  - Core:

    - [Python for Everybody Specialization](https://www.coursera.org/specializations/python)

  - Mooc:

    -  [Python Documentation](https://docs.python.org/3.11/)    

  

## AI/ML

- Deep Learning

  - Core:  

    - Artificial Neural Network (ANN)

    - Convolutional Neural Network (CNN)

  - Mooc: [Deep Learning Specialization - Coursera](https://www.coursera.org/specializations/deep-learning)

- Computer Vision

  - Core:

    -  Camera sensor & pinhole model

    -  Object classification

    -  Object detection

    -  Depth estimation

    -  Semantic segmentation

  - Mooc:

    - [Robotics: Perception from University of Pennsylvania via Coursera](https://www.classcentral.com/course/robotics-perception-5033)

    - [Overview of Robot Perception - University of Texas](https://www.cs.utexas.edu/~yukez/cs391r_fall2020/slides/lecture_robot_perception.pdf)

## Mathematics

- Core: 

  - Linear Algebra: matrices, vectors, matrix multiplication, rank, eigenvalues, vectors, inverses

  - Calculus: Derivatives, Integrals, multivariate calculus, Quartenions

  - Probability & Statistics: Regression, Mean Square Error, Gaussian Distribution, Likelihood

- Mooc:

  - Todo 

## Physics

- Core:

  - Newton's laws, forces, moments, inertia

  - Vehicle Dynamic Control: Kinematic model, Dynamic model

- Mooc:

  - Todo

  

## Robotics

- Core:

  - Coordinates Transformations: C-Space, Degrees of Freedom (DoF)

- Mooc:

  - [Modern Robotics Specializations - Cousera](https://www.coursera.org/specializations/modernrobotics)

    - Textbooks: 

      - [Modern Robotic - Kevin M. Lynch and Frank C. Park (2017)](https://hades.mech.northwestern.edu/index.php/Modern_Robotics) 

## HW-SW recommendations

- [Carla Simulator](https://carla.org/): For the final project.

- Installation requirements:

  - Desktop PC or gaming laptop, which includes:

    - Windows 7 (64-bit or later, Windows 10 preferred) or Linux (Ubuntu 16.04 - or later)

    - Quad-core Intel or AMD processor, 2.5 GHz or faster

    - NVIDIA GeForce 470 GTX or AMD Radeon 6870 HD series card or higher

    - 8 GB RAM

    - OpenGL 3 or greater (for Linux computers)

- MacOs: At this time macOS is not natively supported by CARLA (latest version of course)

- Virtual Machine: Not recommended 

## References

**Courses Resources**

- [Notes & Assignements](https://github.com/afondiel/Self-Driving-Cars-Specialization/tree/main)

- [All Projects](https://github.com/diesimo-ai/self-driving-car-projects)

- [Blog Review](https://medium.com/@muntudiela/the-top-5-skills-i-learned-from-the-university-of-toronto-self-driving-cars-specialization-2023-6470b36fe7ed)

- Prerequisites:

  - [Course Notes](https://github.com/afondiel/Self-Driving-Cars-Specialization/blob/main/Course1-Introduction-to-Self-Driving-Cars/resources/Course-Prerequisites-Knowledge-Hardware-Software.md)

  - [Spreadsheet & Useful links](https://docs.google.com/spreadsheets/d/1VkTIZ3czhMvonNcRqsTJPW2s3aemIXe-1-XP_E3H5vk/edit?gid=0#gid=0)

- [Glossary](https://github.com/afondiel/Self-Driving-Cars-Specialization/blob/main/Course1-Introduction-to-Self-Driving-Cars/resources/glossary.md)

**Inspirations:**

- [Awesome for Udacity's Self Driving Car Nanodegree by Nicholas Condo](https://github.com/ncondo/SDCND-Prerequisites)

- [Awesome Spreadsheet by Amr Abd El](https://docs.google.com/spreadsheets/d/13QQinPFhU9DwujctXS0A7un0up4N5BNyUDZwxK4I6hg/edit?gid=0#gid=0)