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