About this Course
최근 조회 135,596

다음 전문 분야의 1개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

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고급 단계

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

완료하는 데 약 27시간 필요

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

영어

자막: 영어

배울 내용

  • 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

다음 전문 분야의 1개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

고급 단계

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

완료하는 데 약 27시간 필요

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

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

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 videos (Total 45 min), 4 readings
10개의 동영상
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
4개의 읽기 자료
Course Prerequisites: Knowledge, Hardware & Software15m
How to Use Discussion Forums15m
Glossary of Terms10m
How to Use Supplementary Readings in This Course15m
완료하는 데 4시간 필요

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 (Total 37 min), 3 readings, 3 quizzes
4개의 동영상
Advice for Breaking into the Self-Driving Cars Industry6m
3개의 읽기 자료
Lesson 1 Supplementary Reading: Taxonomy of Driving30m
Lesson 2 Supplementary Reading: Requirements for Perception15m
Lesson 3 Supplementary Reading: Driving Decisions and Actions30m
3개 연습문제
Lesson 1: Practice Quiz30m
Lesson 2: Practice Quiz30m
Module 1: Graded Quiz50m
2
완료하는 데 3시간 필요

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 videos (Total 51 min), 4 readings, 1 quiz
5개의 동영상
Lesson 4: Environment Representation8m
The Future of Autonomous Vehicles6m
4개의 읽기 자료
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
1개 연습문제
Module 2: Graded Quiz50m
3
완료하는 데 5시간 필요

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 videos (Total 71 min), 4 readings, 1 quiz
8개의 동영상
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
4개의 읽기 자료
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
1개 연습문제
Module 3: Graded Quiz50m
4
완료하는 데 9시간 필요

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 videos (Total 74 min), 7 readings, 2 quizzes
8개의 동영상
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
7개의 읽기 자료
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
56개의 리뷰Chevron Right

43%

이 강좌를 수료한 후 새로운 경력 시작하기

30%

이 강좌를 통해 확실한 경력상 이점 얻기

Introduction to Self-Driving Cars의 최상위 리뷰

대학: 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.

대학: 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.

강사

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Steven Waslander

Associate Professor
Aerospace Studies
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Jonathan Kelly

Assistant Professor
Aerospace Studies

토론토 대학교 정보

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. ...

자율 주행 자동차 전문 분야 정보

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)....
자율 주행 자동차

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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