Radar model for autonomous driving

Adaptive cruise control and autonomous driving relies on the fact that vehicle should intelligently detect the presence of obstacles or other vehicles and road signs to automatically adjusts its speed. Various sensors plays their own integral role in this process. Radar, ultrasonic sensors, etc. determines the long range, mid range and short range objects.

To develop the simulation model for autonomous driving with other cars on the road, radar model was needed, keeping in mind the computation speed of the simulation. To accurately detect the distance of the vehicle in front and to reduce the lag between the detection of the vehicle and the appropriate action taken, a simplistic radar model is developed and further configured to reduce the computation speed. It was further used for lane changing logic.

For that, the radar model was developed as a C-based s-function and then integrated with the simulink model.