MDAO App Demo | Optimize ADAS Algorithm Parameters and Sensor Position using ModelCenter® Explore | PHOENIX INTEGRATION
Commercial Advanced Driver Assistance Systems (ADAS) can achieve a certain level of autonomous driving on a motorway using functions such as Smart Cruise Control (SCC) and Lane Keeping Assist System (LKAS). The next step is to enable the vehicle to change lanes in traffic in order to maintain a desired speed. A part of making this reality is coming up with an algorithm that chooses when to change lanes. The designers also need to decide on where to place the lidar sensors. This webinar will go show how ModelCenter can help with these tasks by automating the simulation of motorway scenarios and optimizing the algorithm.
What will you learn by attending this session?
In this App Demo, you will learn how to:
- Build a simulation capable of evaluating an ADAS algorithm
- Optimize the parameters of such an algorithm
- Optimize the position of the sensors that feed the algorithm with environment data
- Find the right approach to discovering the optimal configuration
Come join us!
Participation in this event is free.