University of Toronto
Self-Driving Cars Specialization
University of Toronto

Self-Driving Cars Specialization

Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.

Steven Waslander
Jonathan Kelly

Instructors: Steven Waslander

Sponsored by HKUST

77,097 already enrolled

Get in-depth knowledge of a subject
4.7

(2,701 reviews)

Advanced level
Designed for those already in the industry
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(2,701 reviews)

Advanced level
Designed for those already in the industry
3 months
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the detailed architecture and components of a self-driving car software stack

  • Implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control

  • Use realistic vehicle physics, complete sensor suite: camera, LIDAR, GPS/INS, wheel odometry, depth map, semantic segmentation, object bounding boxes

  • Demonstrate skills in CARLA and build programs with Python

Details to know

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Taught in English

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Specialization - 4 course series

Introduction to Self-Driving Cars

Course 135 hours4.7 (2,866 ratings)

What you'll learn

  • Understand commonly used hardware used for self-driving cars

  • Identify the main components of the self-driving software stack

  • Program vehicle modelling and control

  • Analyze the safety frameworks and current industry practices for vehicle development

Skills you'll gain

Category: Mathematical Modeling
Category: Machine Controls
Category: Mechanical Engineering
Category: Statistical Modeling
Category: Applied Mathematics
Category: Software Engineering
Category: Software Architecture
Category: Environment Health And Safety
Category: Safety Assurance
Category: Automation
Category: IT Automation
Category: Statistics
Category: Engineering
Category: Engineering Software
Category: Advanced Mathematics
Category: Simulation and Simulation Software
Category: Software Development
Category: Robotic Process Automation
Category: Information Technology
Category: Computer Science

State Estimation and Localization for Self-Driving Cars

Course 226 hours4.7 (828 ratings)

What you'll learn

  • Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares

  • Develop a model for typical vehicle localization sensors, including GPS and IMUs

  • Apply extended and unscented Kalman Filters to a vehicle state estimation problem

  • Apply LIDAR scan matching and the Iterative Closest Point algorithm

Skills you'll gain

Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Geographic Information Systems
Category: Global Positioning Systems
Category: Applied Mathematics
Category: Mathematical Modeling
Category: Geospatial Information and Technology
Category: Statistical Analysis
Category: Probability
Category: Statistical Modeling
Category: Mathematics and Mathematical Modeling
Category: Analytics
Category: Estimation
Category: Statistical Methods
Category: Geospatial Mapping
Category: Statistics
Category: Artificial Intelligence
Category: Systems Engineering
Category: Data Science
Category: Computer Vision
Category: Data Analysis

Visual Perception for Self-Driving Cars

Course 331 hours4.7 (575 ratings)

What you'll learn

  • Work with the pinhole camera model, and perform intrinsic and extrinsic camera calibration

  • Detect, describe and match image features and design your own convolutional neural networks

  • Apply these methods to visual odometry, object detection and tracking

  • Apply semantic segmentation for drivable surface estimation

Skills you'll gain

Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Analysis
Category: Image Analysis
Category: Machine Learning
Category: Applied Machine Learning
Category: Computer Vision
Category: Artificial Intelligence
Category: Deep Learning
Category: Artificial Neural Networks
Category: Statistical Machine Learning
Category: Machine Learning Algorithms
Category: Computer Science
Category: Machine Learning Methods

Motion Planning for Self-Driving Cars

Course 432 hours4.8 (468 ratings)

What you'll learn

Skills you'll gain

Category: Engineering Software
Category: Simulation and Simulation Software
Category: Advanced Mathematics
Category: Theoretical Computer Science
Category: Graph Theory
Category: Geospatial Mapping
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Computer Science
Category: Reinforcement Learning
Category: Software Development
Category: Algorithms
Category: Statistical Modeling
Category: Engineering
Category: Artificial Intelligence
Category: Geographic Information Systems
Category: Mathematical Modeling
Category: Mathematics and Mathematical Modeling
Category: Applied Mathematics
Category: Geospatial Information and Technology
Category: Machine Learning

Instructors

Steven Waslander
University of Toronto
4 Courses169,088 learners

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