University of Toronto - Self-Driving Cars Specialization
4.8 /5- Offered byCoursera
Self-Driving Cars Specialization at Coursera Overview
Self-Driving Cars Specialization
at Coursera
Launch Your Career in Self-Driving Cars. Be at the forefront of the autonomous driving industry.
Duration | 7 hours |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Go to Website  |
Credential | Certificate |
Self-Driving Cars Specialization at Coursera Highlights
Self-Driving Cars Specialization
at Coursera
- Earn a Certificate on successful course completion from University of Toronto
- Get unlimited access to the course content
- Graded Assignments with Peer Feedback
- Applied Learning Project
- 43 % Started a new career after completing this course
- Shareable Specialization and Course Certificates
Read more
Self-Driving Cars Specialization at Coursera Course details
Self-Driving Cars Specialization
at Coursera
Skills you will learn
What are the course deliverables?
- 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
More about this course
- 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.
Self-Driving Cars Specialization at Coursera Curriculum
Self-Driving Cars Specialization
at Coursera
Course 1
Introduction to Self-Driving Cars
Course 2
State Estimation and Localization for Self-Driving Cars
Course 3
Visual Perception for Self-Driving Cars
Course 4
Motion Planning for Self-Driving Cars
Self-Driving Cars Specialization at Coursera Entry Requirements
Self-Driving Cars Specialization
at Coursera
Eligibility criteria
- It is recommended that you have some background in linear algebra, probability, statistics, calculus, physics, control theory, and Python programming.
Conditional Offer
- Not mentioned
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G
Gopalakrishna Adusumilli
Self-Driving Cars Specialization
Offered by Coursera
5
Learning Experience: Course is structed and topics are covered well. Object detection and localisation concepts were covered in depth.
Faculty: The sessions were pre recorded, community forum was quite useful
Course includes dealing with sensor data, the assessment support could have been better.
Course Support: No
Reviewed on 18 Sep 2022Read More
S
Sagar Patil
Self-Driving Cars Specialization
Offered by Coursera
5
Learning Experience: Autonomous Driving Concepts from Sensing, Planning, Control
Faculty: Instructors taught well
Curriculum was relevant and comprehensive
Course Support: No career support provided
Reviewed on 2 Apr 2022Read More
S
Sujeet vishwakarma
Self-Driving Cars Specialization
Offered by Coursera
5
Other: I loved this course because they explained so beautifully about the function of the self-driving car and what kind of sensor used in the Design to perform unman working cars. In the course, I used Carla software to get an assignment like change or adding longitudinal and Lateral coordinates value of a car.
Reviewed on 15 Oct 2020Read More
View All 3 Reviews
Self-Driving Cars Specialization
at Coursera
Student Forum
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