State Estimation and Localization for Self-Driving Cars
Master advanced state estimation techniques and sensor fusion algorithms for precise autonomous vehicle localization and navigation system development.
Course Cost
Free course
Advanced
Skill Level
25 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
Implement parameter and state estimation methods
Develop models for GPS and IMU sensors
Apply extended and unscented Kalman Filters
Master LIDAR scan matching techniques
Create multi-sensor fusion systems
Build complete vehicle state estimators
Skills you'll gain
This course includes:
3.7 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course explores advanced state estimation and localization techniques for autonomous vehicles. Students learn essential methods including least squares estimation, Kalman filtering, and sensor fusion. The curriculum covers GPS/INS integration, LIDAR processing, and multi-sensor fusion strategies. Through hands-on projects using the CARLA simulator, participants implement an Error-State Extended Kalman Filter for vehicle localization.
Welcome to Course 2: State Estimation and Localization for Self-Driving Cars
Module 1 · 1 Hours to complete
Least Squares
Module 2 · 7 Hours to complete
State Estimation - Linear and Nonlinear Kalman Filters
Module 3 · 7 Hours to complete
GNSS/INS Sensing for Pose Estimation
Module 4 · 2 Hours to complete
LIDAR Sensing
Module 5 · 2 Hours to complete
Putting It together - An Autonomous Vehicle State Estimator
Module 6 · 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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