Informações sobre o curso
5.0
15 classificações
4 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível avançado

Nível avançado

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

Horas para completar

Aprox. 19 horas para completar

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

Inglês

Legendas: Inglês

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

Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível avançado

Nível avançado

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

Horas para completar

Aprox. 19 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
2 horas para concluir

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

This module will introduce you to the main concepts and layout of the specialization and discusses the major advances made in the field over the last two decades, highlighting the most recent progress made by major players in terms of safety and performance metrics, where available. ...
Reading
10 vídeos (total de (Total 45 mín.) min), 4 leituras
Video10 videos
Welcome to the Course2min
The Story of Autonomous Vehicles12min
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
Reading4 leituras
Course Prerequisites: Knowledge, Hardware & Software15min
How to Use Discussion Forums15min
Glossary of Terms10min
How to Use Supplementary Readings in This Course15min
Horas para completar
4 horas para concluir

Module 1: The Requirements for Autonomy

Self-driving cars present an extremely rich and inter-disciplinary problem. This module introduces the language and structure of the problem definition, defining the most salient elements of the driving task and the driving environment....
Reading
4 vídeos (total de (Total 37 mín.) min), 3 leituras, 3 testes
Video4 videos
Lesson 2: Requirements for Perception8min
Lesson 3: Driving Decisions and Actions9min
Advice for Breaking into the Self-Driving Cars Industry6min
Reading3 leituras
Lesson 1 Supplementary Reading: Taxonomy of Driving30min
Lesson 2 Supplementary Reading: Requirements for Perception15min
Lesson 3 Supplementary Reading: Driving Decisions and Actions30min
Quiz3 exercícios práticos
Lesson 1: Practice Quiz30min
Lesson 2: Practice Quiz30min
Module 1: Graded Quiz50min
Semana
2
Horas para completar
3 horas para concluir

Module 2: Self-Driving Hardware and Software Architectures

System architectures for self-driving vehicles are extremely diverse, as no standardized solution has yet emerged. This module describes both the hardware and software architectures commonly used and some of the tradeoffs in terms of cost, reliability, performance and complexity that constrain autonomous vehicle design....
Reading
5 vídeos (total de (Total 51 mín.) min), 4 leituras, 1 teste
Video5 videos
Lesson 2: Hardware Configuration Design10min
Lesson 3: Software Architecture13min
Lesson 4: Environment Representation8min
The Future of Autonomous Vehicles6min
Reading4 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
Quiz1 exercício prático
Module 2: Graded Quiz50min
Semana
3
Horas para completar
5 horas para concluir

Module 3: Safety Assurance for Autonomous Vehicles

As the self-driving domain matures, the requirement for safety assurance on public roads become more critical to self-driving developers. You will evaluate the challenges and approaches employed to date to tackle the immense challenge of assuring the safe operation of autonomous vehicles in an uncontrolled public road driving environment. ...
Reading
8 vídeos (total de (Total 71 mín.) min), 4 leituras, 1 teste
Video8 videos
Lesson 2: Industry Methods for Safety Assurance and Testing17min
Lesson 3: Safety Frameworks for Self-Driving18min
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
Reading4 leituras
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicless
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testings
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30min
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15min
Quiz1 exercício prático
Module 3: Graded Quiz50min
Semana
4
Horas para completar
9 horas para concluir

Module 4: Vehicle Dynamic Modeling

The first task for automating an driverless vehicle is to define a model for how the vehicle moves given steering, throttle and brake commands. This module progresses through a sequence of increasing fidelity physics-based models that are used to design vehicle controllers and motion planners that adhere to the limits of vehicle capabilities. ...
Reading
8 vídeos (total de (Total 74 mín.) min), 7 leituras, 2 testes
Video8 videos
Lesson 2: The Kinematic Bicycle Model8min
Lesson 3: Dynamic Modeling in 2D10min
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
Reading7 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
5.0
4 avaliaçõesChevron Right

Melhores avaliações

por NBFeb 17th 2019

This is really a good course to have an overview of self-driving cars development knowledge with great contents and project. Thank you so much for designing this course.

por CGFeb 4th 2019

clear, easy to follow. I would say that needs to speed up a bit

Instrutores

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
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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 o Programa de cursos integrados Self-Driving Cars

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)....
Self-Driving Cars

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.

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