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Udacity

Sensor Fusion

Mercedes Benz via Udacity Nanodegree

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

Start your review of Sensor Fusion

  • Anonymous
    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.
  • 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.
  • Profile image for Nikhil Nair
    Nikhil Nair
    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.

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