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State Estimation and Localization for Self-Driving Cars
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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.

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4.7

51,370 Enrolled

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English

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Provider Logo
olive-leaves-logo

4.7

51,370 Enrolled

olive-leaves-logo

English

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

Kalman Filters
State Estimation
LIDAR
GPS
IMU
Sensor Fusion
Vehicle Localization
Error-State EKF
Point Cloud Processing
Position Tracking

This course includes:

3.7 Hours PreRecorded video

5 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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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.

State Estimation and Localization for Self-Driving Cars

Advanced

Skill Level

25 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.