Self-Driving Cars

Completed by ZHANFU YANG

March 15, 2020

Approximately 25 weeks to complete.

Course Certificates Completed

Introduction to Self-Driving Cars

State Estimation and Localization for Self-Driving Cars

Visual Perception for Self-Driving Cars

Motion Planning for Self-Driving Cars

View certificate for ZHANFU YANG, Self-Driving Cars, offered through Coursera. This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. By interacting with real data sets from an autonomous vehicle (AV), you’ll implement methods for static and dynamic object detection, localization and mapping, behaviour and maneuver planning, and vehicle control ― all through hands-on projects using the open source simulator CARLA.

You’ll learn from a highly realistic driving environment that features 3D pedestrian modeling 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.

Course Certificates

Earned after completing each course in the Specialization

Introduction to Self-Driving Cars

University of Toronto

Taught by: Steven Waslander & Jonathan Kelly

Completed by: ZHANFU YANG by March 13, 2020

7 weeks of study, 5-6 hours per week

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State Estimation and Localization for Self-Driving Cars

University of Toronto

Taught by: Jonathan Kelly & Steven Waslander

Completed by: ZHANFU YANG by March 14, 2020

4 weeks of study, 5-6 hours per week

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Visual Perception for Self-Driving Cars

University of Toronto

Taught by: Steven Waslander

Completed by: ZHANFU YANG by March 15, 2020

6 weeks of study, 5-6 hours per week

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Motion Planning for Self-Driving Cars

University of Toronto

Taught by: Steven Waslander & Jonathan Kelly

Completed by: ZHANFU YANG by March 15, 2020

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