Visual Perception for Self-Driving Cars
Master computer vision techniques for autonomous vehicles: camera calibration, object detection, and semantic segmentation.
Course Cost
Free course
Advanced
Skill Level
28 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Self-Driving Cars Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
What you'll learn
Master pinhole camera models and camera calibration techniques
Implement feature detection and matching algorithms
Develop custom convolutional neural networks
Create object detection and tracking systems
Apply semantic segmentation for surface estimation
Build complete perception systems for autonomous vehicles
Skills you'll gain
This course includes:
4.45 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 7 modules in this course
This comprehensive course covers fundamental computer vision techniques essential for autonomous vehicle perception systems. Students learn advanced concepts including camera models and calibration, feature detection and matching, convolutional neural networks, object detection, and semantic segmentation. The curriculum combines theoretical foundations with practical applications using the CARLA simulator. Through hands-on programming assignments, participants develop skills in implementing real-world perception systems for self-driving cars.
Welcome to Course 3: Visual Perception for Self-Driving Cars
Module 1 · 1 Hours to complete
Module 1: Basics of 3D Computer Vision
Module 2 · 7 Hours to complete
Module 2: Visual Features - Detection, Description and Matching
Module 3 · 7 Hours to complete
Module 3: Feedforward Neural Networks
Module 4 · 2 Hours to complete
Module 4: 2D Object Detection
Module 5 · 3 Hours to complete
Module 5: Semantic Segmentation
Module 6 · 2 Hours to complete
Module 6: Putting it together - Perception of dynamic objects in the drivable region
Module 7 · 6 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.
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