Über diesen Kurs
121,600 kürzliche Aufrufe

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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. 26 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Spanisch

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

  • Check

    Program vehicle modelling and control

  • Check

    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. 26 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Spanisch

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
2 Stunden zum Abschließen

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

10 Videos (Gesamt 45 min), 4 Lektüren
10 Videos
Welcome to the Course2m
The Story of Autonomous Vehicles12m
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

4 Videos (Gesamt 37 min), 3 Lektüren, 3 Quiz
4 Videos
Lesson 2: Requirements for Perception8m
Lesson 3: Driving Decisions and Actions9m
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

5 Videos (Gesamt 51 min), 4 Lektüren, 1 Quiz
5 Videos
Lesson 2: Hardware Configuration Design10m
Lesson 3: Software Architecture13m
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

8 Videos (Gesamt 71 min), 4 Lektüren, 1 Quiz
8 Videos
Lesson 2: Industry Methods for Safety Assurance and Testing17m
Lesson 3: Safety Frameworks for Self-Driving18m
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

8 Videos (Gesamt 74 min), 7 Lektüren, 2 Quiz
8 Videos
Lesson 2: The Kinematic Bicycle Model8m
Lesson 3: Dynamic Modeling in 2D10m
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
4.8
95 BewertungenChevron Right

43%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

30%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Top-Bewertungen von Introduction to Self-Driving Cars

von NPSep 23rd 2019

Very engrossing and interesting course. This is a very intensive course and requires some work on the assignments and projects and hence makes it very satisfying to learn.

von RRSep 1st 2019

Great learning experience with a lot of references and nicely designed projects to learn from. Look forward to diving deeper into the complete Self Driving Cars 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 den Spezialisierung Selbstfahrende Autos

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)....
Selbstfahrende Autos

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