Current

Intermediate

Kalman Filters & State Estimation for Robotics

Udemy · Robotic Systems Lab · Updated March 2026

Platform rating

4.4/5

Champ rating

8.2/10

Duration

6 hours video

Classes

42

Comprehensive course on Kalman filters, extended Kalman filters, and unscented Kalman filters for robotics state estimation and tracking.

What you'll get

Implement Kalman filters for state estimation

Build SLAM systems for robot localization

Integrate GPS and IMU for positioning systems

Course Curriculum

6 chapters

Fit

Best for

Autonomy Engineers

Self-Driving Developers

IoT Engineers

Systems Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Linear algebra and probability basics

Pricing

$13.99

Certification

Certificate

Kalman Filter

State Estimation

EKF

UKF

Robotics

SLAM

ShareCompare

Add to StackGo to Course

Alternatives to Kalman Filters & State Estimation for Robotics

Compare

Current

Sensor Integration with NVIDIA DRIVE

NVIDIA Deep Learning Institute (DLI) · NVIDIA

4.6

8.5/10

4 hours self-paced

Learn sensor integration for autonomous vehicles using NVIDIA DRIVE. Cover camera, lidar, and radar fusion for self-driving systems.

$30

ViewAddCompare

Create a ROS2 Self-Driving robot with Python and C++. Master Robot Localization, Mapping and SLAM.

State estimation and localization for self-driving cars from University of Toronto covering Kalman filters, LiDAR, and sensor fusion techniques.

Master multi-sensor fusion for autonomous vehicles: combine LiDAR point clouds, camera images, and radar data for robust perception.