Master automotive sensor fusion techniques for nonlinear filtering and multi-object tracking in autonomous systems.
Master automotive sensor fusion techniques for nonlinear filtering and multi-object tracking in autonomous systems.
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 Sensor Fusion and Multi-Object Tracking 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.
English
What you'll learn
Model common sensors and their measurements
Implement key nonlinear filters for complex motion and sensor models
Master principles and theory of modern multi-object tracking
Solve various multi-object tracking problems in practice
Apply sensor fusion techniques to automotive systems
Develop algorithms for autonomous vehicle perception
Skills you'll gain
This course includes:
15 Hours PreRecorded video
Access on Mobile, Tablet, Desktop
FullTime access
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There are 2 courses in this program
Project Management Fundamentals
Course 1 · 16 Hours to complete · 4 modules
Data for Business Analysts Using Microsoft Excel
Course 2 · 23 Hours to complete · 5 modules
Fee Structure
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