Über diesen Kurs
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Stufe „Fortgeschritten“

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

Ca. 27 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

Was Sie lernen werden

  • Check

    Understand commonly used hardware used for self-driving cars

  • Check

    Identify the main components of the self-driving software stack

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    Program vehicle modelling and control

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    Analyze the safety frameworks and current industry practices for vehicle development

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Stufe „Fortgeschritten“

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

Ca. 27 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
2 Stunden zum Abschließen

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.

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10 Videos (Gesamt 45 min), 4 Lektüren
10 Videos
Meet the Instructor, Steven Waslander5m
Meet the Instructor, Jonathan Kelly2m
Meet Diana, Firmware Engineer2m
Meet Winston, Software Engineer3m
Meet Andy, Autonomous Systems Architect2m
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5m
Why Should You Take This Course?2m
4 Lektüren
Course Prerequisites: Knowledge, Hardware & Software15m
How to Use Discussion Forums15m
Glossary of Terms10m
How to Use Supplementary Readings in This Course15m
4 Stunden zum Abschließen

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 Videos (Gesamt 37 min), 3 Lektüren, 3 Quiz
4 Videos
Advice for Breaking into the Self-Driving Cars Industry6m
3 Lektüren
Lesson 1 Supplementary Reading: Taxonomy of Driving30m
Lesson 2 Supplementary Reading: Requirements for Perception15m
Lesson 3 Supplementary Reading: Driving Decisions and Actions30m
3 praktische Übungen
Lesson 1: Practice Quiz30m
Lesson 2: Practice Quiz30m
Module 1: Graded Quiz50m
Woche
2
3 Stunden zum Abschließen

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.

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5 Videos (Gesamt 51 min), 4 Lektüren, 1 Quiz
5 Videos
Lesson 4: Environment Representation8m
The Future of Autonomous Vehicles6m
4 Lektüren
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15m
Lesson 2 Supplementary Reading: Hardware Configuration Design30m
Lesson 3 Supplementary Reading: Software Architecture30m
Lesson 4 Supplementary Reading: Environment Representation15m
1 praktische Übung
Module 2: Graded Quiz50m
Woche
3
5 Stunden zum Abschließen

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.

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8 Videos (Gesamt 71 min), 4 Lektüren, 1 Quiz
8 Videos
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1m
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3m
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4m
Paul Newman on the Trolley Problem3m
How Companies Approach Autonomous Vehicle Safety5m
4 Lektüren
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-Driving30m
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15m
1 praktische Übung
Module 3: Graded Quiz50m
Woche
4
9 Stunden zum Abschließen

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.

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8 Videos (Gesamt 74 min), 7 Lektüren, 2 Quiz
8 Videos
Lesson 4: Longitudinal Vehicle Modeling11m
Lesson 5: Lateral Dynamics of Bicycle Model7m
Lesson 6: Vehicle Actuation9m
Lesson 7: Tire Slip and Modeling10m
Challenges for the Industry4m
7 Lektüren
Supplementary Readings for Module 430m
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30m
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30m
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30m
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30m
Lesson 6 Supplementary Reading: Vehicle Actuation45m
Lesson 7 Supplementary Reading: Tire Slip and Modeling30m
4.7
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ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Top reviews from Introduction to Self-Driving Cars

von 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.

von KKJun 2nd 2019

Exceptional Advanced Course that also provides the subtle basic nudges for everyone to comprehend as well. Really Delighted on taking this Course.

Dozenten

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Steven Waslander

Associate Professor
Aerospace Studies
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Jonathan Kelly

Assistant Professor
Aerospace Studies

Über University of 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. ...

Über die Spezialisierung 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

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