Kalman Filter Courses and Certifications

Microcredential

Applied Kalman Filtering

Derive, design, and implement Kalman-filter solutions for engineering problems. Develop linear and nonlinear Kalman filters and particle filters in Octave, enhancing state estimation skills.

• Coursera
• On-Demand
• Paid Course
• 4 courses

Ross Dynamics Lab

Kalman Filter for Beginners - Recursive Filters & MATLAB Examples

2 reviews

Explore recursive filters, including average, moving average, and low-pass filters, with practical MATLAB examples. Learn the foundations of Kalman filtering for enhanced estimation and data analysis skills.

• YouTube
• 49 minutes
• On-Demand
• Free Video

Steve Brunton

Control Bootcamp - Kalman Filter Example in Matlab

1 review

Explore Kalman Filter implementation on inverted pendulum using Matlab, covering theory and practical application in dynamical systems and control engineering.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Ross Dynamics Lab

Kalman Filter for Beginners - Estimation and Prediction Process & MATLAB Example

Explore Kalman Filter estimation and prediction processes, system modeling, and MATLAB examples. Learn practical applications for dynamic attitude estimation in aerospace engineering.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Isaac Newton Institute for Mathematical Sciences

The Legacy of Rudolph Kalman - Systematic Approaches to Data-Driven Predictive Modeling

Explore Rudolph Kalman's groundbreaking work on data-driven mathematical modeling and its impact on fields like space control, weather prediction, and AI. Gain insights into optimization and iteration concepts.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

International Centre for Theoretical Sciences

Data Assimilation - Kalman Filter - Lecture 7

Explore Kalman Filter in data assimilation for weather and climate models. Learn theoretical foundations and practical applications of this crucial mathematical approach.

• YouTube
• 1 hour 27 minutes
• On-Demand
• Free Video

Mercedes Benz;  Waymo Microcredential

Self Driving Car Engineer

5 reviews

Master autonomous vehicle engineering skills, from computer vision to sensor fusion, localization, planning, and control, preparing you for a career in self-driving technology.

• Udacity
• 4 months 5 hours 36 minutes
• On-Demand
• Paid Course

Mercedes Benz Microcredential

Sensor Fusion

184 ratings at Udacity

Explore sensor fusion fundamentals for self-driving cars, covering lidar, radar, camera, and Kalman filters. Gain practical skills in data processing, object tracking, and building a complete perception pipeline.

• Udacity
• 3 months 4 days 19 minutes
• On-Demand
• Paid Course

Object Tracking and Localization

Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.

• Udacity
• 3 weeks, 4-5 hours a week
• On-Demand
• Paid Course

State Estimation and Localization for Self-Driving Cars

824 ratings at Coursera

Explore state estimation and localization techniques for self-driving cars, including Kalman filters, GPS/INS integration, and LIDAR sensing. Gain practical skills in implementing autonomous vehicle state estimators.

• Coursera
• 1 day 2 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Kalman Filter Boot Camp (and State Estimation)

Explore Kalman filters for state estimation in dynamic systems, covering theory, implementation in Octave, and practical applications. Gain hands-on experience with this powerful tool for solving complex estimation problems.

• Coursera
• 22 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Linear Kalman Filter Deep Dive (and Target Tracking)

Explore linear Kalman filter derivation, robustness enhancements, extensions, and practical implementation in target tracking using Octave, building on foundational knowledge.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

Control Bootcamp

2 reviews

Rapid overview of optimal control concepts, covering controllability, observability, LQR, and Kalman filter. Applies main approaches to simple Matlab examples for practical understanding.

• YouTube
• 11 hours
• On-Demand
• Free Video

Virtual Reality Engineering

1 review

Explore psychophysics, visual perception, haptics, and challenges in VR/AR. Gain insights into human sensory systems and cutting-edge interfaces for immersive experiences.

• YouTube
• 9 hours
• On-Demand
• Free Video

NPTEL;  IIT Kharagpur

Estimation of Signals and Systems

This course covers lessons on probability theory, random variables, mean and variance, linear signal models, z-transform, Kalman filter, variants of least squares estimation, and estimation problems in instrumentation and control.

• YouTube
• 1 day 2 hours
• On-Demand
• Free Video