- In this course we will discuss in detail what it takes for a radar to generate a perception for a self driving car. Starting from scratch we will build up from the basic principles of radar. We will cover the signal propagation and target response generation. Then we will deep dive into Range Doppler generation needed to localize the target real time.
- We will write the code in MATLAB to generate the Target scenario, FMCW waveform creation and later using processing techniques like FFT, CFAR we will create the Range Doppler Maps (RDM). For the second part of the project we will work on the MATLAB-based Driving Scenario Simulator to deploy multi object tracking and clustering and study the results.
- Combining data provided by different sensors like: lidar, radar, and camera to get a more consistent representation of the environment; including static and dynamic objects, traffic lights, free-space and other traffic participants.
- Radar can be used in object tracking and detection.
- Measurements obtained from radar are: Range, Range rate, and Angle.