Video length is 44:39

Case Study: Vision and Radar-Based Sensor Fusion

Vision and radar-based sensor fusion algorithms are commonly used in automated driving applications to track objects surrounding the vehicle. This case study shows you how to:

  • Explore a baseline sensor fusion algorithm
  • Improve the algorithm for new data set
  • Synthesize data to further test the algorithm

The sensor fusion algorithm used in this case study is designed and tested in the context of a forward collision warning application.

Recorded: 9 May 2017

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