Об этом курсе
4.8
Оценки: 134
Рецензии: 25

100% онлайн

Начните сейчас и учитесь по собственному графику.

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.

Продвинутый уровень

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

Прибл. 29 часа на выполнение

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

Английский

Субтитры: Английский

Чему вы научитесь

  • 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% онлайн

Начните сейчас и учитесь по собственному графику.

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.

Продвинутый уровень

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

Прибл. 29 часа на выполнение

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

Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
2 ч. на завершение

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. ...
10 видео ((всего 45 мин.)), 4 материалов для самостоятельного изучения
10 видео
Welcome to the Course2мин
The Story of Autonomous Vehicles12мин
Meet the Instructor, Steven Waslander5мин
Meet the Instructor, Jonathan Kelly2мин
Meet Diana, Firmware Engineer2мин
Meet Winston, Software Engineer3мин
Meet Andy, Autonomous Systems Architect2мин
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5мин
Why Should You Take This Course?2мин
4 материала для самостоятельного изучения
Course Prerequisites: Knowledge, Hardware & Software15мин
How to Use Discussion Forums15мин
Glossary of Terms10мин
How to Use Supplementary Readings in This Course15мин
4 ч. на завершение

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....
4 видео ((всего 37 мин.)), 3 материалов для самостоятельного изучения, 3 тестов
4 видео
Lesson 2: Requirements for Perception8мин
Lesson 3: Driving Decisions and Actions9мин
Advice for Breaking into the Self-Driving Cars Industry6мин
3 материала для самостоятельного изучения
Lesson 1 Supplementary Reading: Taxonomy of Driving30мин
Lesson 2 Supplementary Reading: Requirements for Perception15мин
Lesson 3 Supplementary Reading: Driving Decisions and Actions30мин
3 практического упражнения
Lesson 1: Practice Quiz30мин
Lesson 2: Practice Quiz30мин
Module 1: Graded Quiz50мин
Неделя
2
3 ч. на завершение

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....
5 видео ((всего 51 мин.)), 4 материалов для самостоятельного изучения, 1 тест
5 видео
Lesson 2: Hardware Configuration Design10мин
Lesson 3: Software Architecture13мин
Lesson 4: Environment Representation8мин
The Future of Autonomous Vehicles6мин
4 материала для самостоятельного изучения
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15мин
Lesson 2 Supplementary Reading: Hardware Configuration Design30мин
Lesson 3 Supplementary Reading: Software Architecture30мин
Lesson 4 Supplementary Reading: Environment Representation15мин
1 практическое упражнение
Module 2: Graded Quiz50мин
Неделя
3
5 ч. на завершение

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. ...
8 видео ((всего 71 мин.)), 4 материалов для самостоятельного изучения, 1 тест
8 видео
Lesson 2: Industry Methods for Safety Assurance and Testing17мин
Lesson 3: Safety Frameworks for Self-Driving18мин
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1мин
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3мин
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4мин
Paul Newman on the Trolley Problem3мин
How Companies Approach Autonomous Vehicle Safety5мин
4 материала для самостоятельного изучения
Lesson 1 Supplementary Reading: Safety Assurance for Self-Driving Vehicles
Lesson 2 Supplementary Reading: Industry Methods for Safety Assurance and Testing
Lesson 3 Supplementary Reading: Safety Frameworks for Self-Driving30мин
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15мин
1 практическое упражнение
Module 3: Graded Quiz50мин
Неделя
4
9 ч. на завершение

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. ...
8 видео ((всего 74 мин.)), 7 материалов для самостоятельного изучения, 2 тестов
8 видео
Lesson 2: The Kinematic Bicycle Model8мин
Lesson 3: Dynamic Modeling in 2D10мин
Lesson 4: Longitudinal Vehicle Modeling11мин
Lesson 5: Lateral Dynamics of Bicycle Model7мин
Lesson 6: Vehicle Actuation9мин
Lesson 7: Tire Slip and Modeling10мин
Challenges for the Industry4мин
7 материала для самостоятельного изучения
Supplementary Readings for Module 430мин
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30мин
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30мин
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30мин
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30мин
Lesson 6 Supplementary Reading: Vehicle Actuation45мин
Lesson 7 Supplementary Reading: Tire Slip and Modeling30мин
4.8
Рецензии: 25Chevron Right

50%

начал новую карьеру, пройдя эти курсы

25%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: NTMar 31st 2019

There is a steep learning curve for beginners, however if you take the time to learn and understand the content, you can succeed in this course.

автор: DCFeb 25th 2019

Great course, very good overview of the field, excellent/challenging/rewarding projects. Highly recommended!

Преподаватели

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
Avatar

Jonathan Kelly

Assistant Professor
Aerospace Studies

О Торонтский университет

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. ...

О специализации ''Беспилотные автомобили'

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)....
Беспилотные автомобили

Часто задаваемые вопросы

  • Зарегистрировавшись на сертификацию, вы получите доступ ко всем видео, тестам и заданиям по программированию (если они предусмотрены). Задания по взаимной оценке сокурсниками можно сдавать и проверять только после начала сессии. Если вы проходите курс без оплаты, некоторые задания могут быть недоступны.

  • Записавшись на курс, вы получите доступ ко всем курсам в специализации, а также возможность получить сертификат о его прохождении. После успешного прохождения курса на странице ваших достижений появится электронный сертификат. Оттуда его можно распечатать или прикрепить к профилю LinkedIn. Просто ознакомиться с содержанием курса можно бесплатно.

Остались вопросы? Посетите Центр поддержки учащихся.