/self-driving-cars-spec-coursera

motion planning, control, state estimation and localization

Primary LanguageJupyter NotebookMIT LicenseMIT

Self-Driving Cars Specialization Coursera

This Specialization gives you a comprehensive understanding of state-of-the-art engineering practices used in the self-driving car industry. You'll get to interact with real data sets from an autonomous vehicle (AV)―all through hands-on projects using the open source simulator CARLA.

Throughout your courses, you’ll hear from industry experts who work at companies like Oxbotica and Zoox as they share insights about autonomous technology and how that is powering job growth within the field.

You’ll learn from a highly realistic driving environment that features 3D pedestrian modelling and environmental conditions. When you complete the Specialization successfully, you’ll be able to build your own self-driving software stack and be ready to apply for jobs in the autonomous vehicle industry.

Course 1: Introduction to Self-Driving Cars

Course 2: State Estimation and Localization for Self-Driving Cars

Course 3: Visual Perception for Self-Driving Cars ❎ (out of my scope and time)

Course 4: Motion Planning for Self-Driving Cars

THIS IS MY ON-GOING (MAYBE COMPLETED) REPOSITORY FOR THIS COURSE (LET'S LEARN WITH ME)

I have consulted many sources, especially on the discussion forum. You can use my code as a reference. Please ⭐ if you find it useful.