Informações sobre o curso
126,719 visualizações recentes

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível avançado

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Aprox. 26 horas para completar

Sugerido: 7 weeks of study, 5-6 hours per week...

Inglês

Legendas: Inglês, Espanhol

O que você vai aprender

  • Check

    Understand commonly used hardware used for self-driving cars

  • Check

    Identify the main components of the self-driving software stack

  • Check

    Program vehicle modelling and control

  • Check

    Analyze the safety frameworks and current industry practices for vehicle development

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível avançado

This is an advanced course, intended for learners with a background in mechanical engineering, computer and electrical engineering, or robotics.

Aprox. 26 horas para completar

Sugerido: 7 weeks of study, 5-6 hours per week...

Inglês

Legendas: Inglês, Espanhol

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Module 0: Welcome to the Self-Driving Cars Specialization!

10 vídeos (Total 45 mín.), 4 leituras
10 videos
Meet the Instructor, Steven Waslander5min
Meet the Instructor, Jonathan Kelly2min
Meet Diana, Firmware Engineer2min
Meet Winston, Software Engineer3min
Meet Andy, Autonomous Systems Architect2min
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5min
Why Should You Take This Course?2min
4 leituras
Course Prerequisites: Knowledge, Hardware & Software15min
How to Use Discussion Forums15min
Glossary of Terms10min
How to Use Supplementary Readings in This Course15min
4 horas para concluir

Module 1: The Requirements for Autonomy

4 vídeos (Total 37 mín.), 3 leituras, 3 testes
4 videos
Advice for Breaking into the Self-Driving Cars Industry6min
3 leituras
Lesson 1 Supplementary Reading: Taxonomy of Driving30min
Lesson 2 Supplementary Reading: Requirements for Perception15min
Lesson 3 Supplementary Reading: Driving Decisions and Actions30min
3 exercícios práticos
Lesson 1: Practice Quiz30min
Lesson 2: Practice Quiz30min
Module 1: Graded Quiz50min
Semana
2
3 horas para concluir

Module 2: Self-Driving Hardware and Software Architectures

5 vídeos (Total 51 mín.), 4 leituras, 1 teste
5 videos
Lesson 4: Environment Representation8min
The Future of Autonomous Vehicles6min
4 leituras
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15min
Lesson 2 Supplementary Reading: Hardware Configuration Design30min
Lesson 3 Supplementary Reading: Software Architecture30min
Lesson 4 Supplementary Reading: Environment Representation15min
1 exercício prático
Module 2: Graded Quiz50min
Semana
3
5 horas para concluir

Module 3: Safety Assurance for Autonomous Vehicles

8 vídeos (Total 71 mín.), 4 leituras, 1 teste
8 videos
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1min
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3min
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4min
Paul Newman on the Trolley Problem3min
How Companies Approach Autonomous Vehicle Safety5min
4 leituras
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles1h
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing1h
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30min
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15min
1 exercício prático
Module 3: Graded Quiz50min
Semana
4
9 horas para concluir

Module 4: Vehicle Dynamic Modeling

8 vídeos (Total 74 mín.), 7 leituras, 2 testes
8 videos
Lesson 4: Longitudinal Vehicle Modeling11min
Lesson 5: Lateral Dynamics of Bicycle Model7min
Lesson 6: Vehicle Actuation9min
Lesson 7: Tire Slip and Modeling10min
Challenges for the Industry4min
7 leituras
Supplementary Readings for Module 430min
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30min
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30min
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30min
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30min
Lesson 6 Supplementary Reading: Vehicle Actuation45min
Lesson 7 Supplementary Reading: Tire Slip and Modeling30min
4.8
69 avaliaçõesChevron Right

43%

comecei uma nova carreira após concluir estes cursos

30%

consegui um benefício significativo de carreira com este curso

Principais avaliações do Introduction to Self-Driving Cars

por IHJul 22nd 2019

Great course! Made me even more interested in self driving vehicles! I'll definitely continue this specialization and topic in general, as cars and robotics itself :3

por APJun 18th 2019

The best course to amass knowledge on the basics of self-driving cars.\n\nWould recommend it for everyone who meets the pre-requisites of this course.

Instrutores

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
Avatar

Jonathan Kelly

Assistant Professor
Aerospace Studies

Sobre Universidade de Toronto

Established in 1827, the University of Toronto is one of the world’s leading universities, renowned for its excellence in teaching, research, innovation and entrepreneurship, as well as its impact on economic prosperity and social well-being around the globe. ...

Sobre Programa de cursos integrados Carros autoguiáveis

Be at the forefront of the autonomous driving industry. With market researchers predicting a $42-billion market and more than 20 million self-driving cars on the road by 2025, the next big job boom is right around the corner. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA. Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field. You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry. It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming. You will need these specifications in order to effectively run the CARLA simulator: Windows 7 64-bit (or later) or 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, and OpenGL 3 or greater (for Linux computers)....
Carros autoguiáveis

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

Mais dúvidas? Visite o Central de Ajuda ao Aprendiz.