Overview
Master the fundamentals of sensor fusion for autonomous vehicles. Learn lidar, radar, and camera integration, Kalman filters, and object tracking through projects designed in partnership with Mercedes-Benz engineers.
Syllabus
- Welcome
- Lidar Obstacle Detection
- Camera
- Radar
- Kalman Filters
- Appendix
Taught by
David Silver, Stephen Welch, Andreas Haja, Abdullah Zaidi and Aaron Brown
Reviews
4.3 rating, based on 3 Class Central reviews
4.8 rating at Udacity based on 185 ratings
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Very interesting and relevant content. The C++ programming is a bit more advanced than expected. I did the Intro to Self Driving Cars Nanodegree in advance, but still feel I lack some C++ skills. Resulting in that I spend longer time on programming tasks. But I learn C++ from this, which is nice.
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Generally enjoyed the course but found some other Udacity courses better designed. The first couple of sections were in my opinion too focused on using a particular library instead of teaching the fundamentals. The computer vision projects also required a lot of manual work that could have been removed with a better organization of the project's initial code. The last section on the Unscented Kalman Filter was however very good.
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The program is well thought out, the content is remarkably close to the real world. The projects and examples provide a good balance of hands-on learning and theory.