Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. This course will introduce you to the different sensors and how we can use them [...]

Self-Driving Cars Specialization

Self-Driving Cars

State Estimation

ES-EKF

Linear Kalman Filter

Extended Kalman Filter

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Jun 16th 2025

Course Auditing

Coursera

University of Toronto

66.00 EUR/month

Jun 16th 2025

Course Auditing

Coursera

University of Colorado System

University of Colorado Boulder

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Effort

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This course can also be taken for academic credit as ECEA 5732, part of CU Boulder’s Master of Science in Electrical Engineering degree.

Algorithms for Battery Management Systems Specialization

Linear Kalman Filter

Electrical Engineering

SOC

Battery State-of-Charge

Coursera Plus

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Jun 16th 2025

Course Auditing

Coursera

University of Colorado System

University of Colorado Boulder

66.00 EUR/month

Self Paced

Course Auditing

EdX

Chalmers University of Technology

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Learn fundamental algorithms for sensor fusion and non-linear filtering with application to automotive perception systems. In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different [...]

Emerging Automotive Technologies MicroMasters

Sensor Fusion and Multi-Object Tracking Professional Certificate

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Self Paced

Course Auditing

EdX