À propos de ce cours
4.8
135 notes
25 avis

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

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Niveau avancé

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

Approx. 29 heures pour terminer

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

Anglais

Sous-titres : Anglais

Ce que vous allez apprendre

  • 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 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.

Niveau avancé

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

Approx. 29 heures pour terminer

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

Anglais

Sous-titres : Anglais

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
2 heures pour terminer

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 vidéos (Total 45 min), 4 lectures
10 vidéos
Welcome to the Course2 min
The Story of Autonomous Vehicles12 min
Meet the Instructor, Steven Waslander5 min
Meet the Instructor, Jonathan Kelly2 min
Meet Diana, Firmware Engineer2 min
Meet Winston, Software Engineer3 min
Meet Andy, Autonomous Systems Architect2 min
Meet Paul Newman, Founder, Oxbotica & Professor at University of Oxford5 min
Why Should You Take This Course?2 min
4 lectures
Course Prerequisites: Knowledge, Hardware & Software15 min
How to Use Discussion Forums15 min
Glossary of Terms10 min
How to Use Supplementary Readings in This Course15 min
4 heures pour terminer

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 vidéos (Total 37 min), 3 lectures, 3 quiz
4 vidéos
Lesson 2: Requirements for Perception8 min
Lesson 3: Driving Decisions and Actions9 min
Advice for Breaking into the Self-Driving Cars Industry6 min
3 lectures
Lesson 1 Supplementary Reading: Taxonomy of Driving30 min
Lesson 2 Supplementary Reading: Requirements for Perception15 min
Lesson 3 Supplementary Reading: Driving Decisions and Actions30 min
3 exercices pour s'entraîner
Lesson 1: Practice Quiz30 min
Lesson 2: Practice Quiz30 min
Module 1: Graded Quiz50 min
Semaine
2
3 heures pour terminer

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 vidéos (Total 51 min), 4 lectures, 1 quiz
5 vidéos
Lesson 2: Hardware Configuration Design10 min
Lesson 3: Software Architecture13 min
Lesson 4: Environment Representation8 min
The Future of Autonomous Vehicles6 min
4 lectures
Lesson 1 Supplementary Reading: Sensors and Computing Hardware15 min
Lesson 2 Supplementary Reading: Hardware Configuration Design30 min
Lesson 3 Supplementary Reading: Software Architecture30 min
Lesson 4 Supplementary Reading: Environment Representation15 min
1 exercice pour s'entraîner
Module 2: Graded Quiz50 min
Semaine
3
5 heures pour terminer

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 vidéos (Total 71 min), 4 lectures, 1 quiz
8 vidéos
Lesson 2: Industry Methods for Safety Assurance and Testing17 min
Lesson 3: Safety Frameworks for Self-Driving18 min
Meet Professor Krzysztof Czarnecki, Safety Assurance Expert1 min
Prof. Krzysztof Czarnecki on Assessing and Validating Autonomous Safety: An Impossible Task?3 min
Prof. Krzysztof Czarnecki's Lessons from Aerospace: Can the AV Industry Collaborate on Safety?4 min
Paul Newman on the Trolley Problem3 min
How Companies Approach Autonomous Vehicle Safety5 min
4 lectures
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-Driving30 min
How Many Miles of Driving Would It Take to Demonstrate Autonomous Vehicle Reliability?15 min
1 exercice pour s'entraîner
Module 3: Graded Quiz50 min
Semaine
4
9 heures pour terminer

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 vidéos (Total 74 min), 7 lectures, 2 quiz
8 vidéos
Lesson 2: The Kinematic Bicycle Model8 min
Lesson 3: Dynamic Modeling in 2D10 min
Lesson 4: Longitudinal Vehicle Modeling11 min
Lesson 5: Lateral Dynamics of Bicycle Model7 min
Lesson 6: Vehicle Actuation9 min
Lesson 7: Tire Slip and Modeling10 min
Challenges for the Industry4 min
7 lectures
Supplementary Readings for Module 430 min
Lesson 2 Supplementary Reading: The Kinematic Bicycle Model30 min
Lesson 3 Supplementary Reading: Dynamic Modeling in 3D30 min
Lesson 4 Supplementary Reading: Longitudinal Vehicle Modeling30 min
Lesson 5 Supplementary Reading: Lateral Dynamics of Bicycle Model30 min
Lesson 6 Supplementary Reading: Vehicle Actuation45 min
Lesson 7 Supplementary Reading: Tire Slip and Modeling30 min
4.8
25 avisChevron Right

33%

a commencé une nouvelle carrière après avoir terminé ces cours

20%

a bénéficié d'un avantage concret dans sa carrière grâce à ce cours

Meilleurs avis

par 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.

par DCFeb 25th 2019

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

Enseignants

Avatar

Steven Waslander

Associate Professor
Aerospace Studies
Avatar

Jonathan Kelly

Assistant Professor
Aerospace Studies

À propos de Université 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. ...

À propos de la Spécialisation Voiture autonome

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)....
Voiture autonome

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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