Based on modern trends in the self-driving car industry, multi-agent collaboration is a vital aspect of fully autonomous functionality. For mass scalability, a hybrid control infrastructure with decision-making routines deployed both centrally on a cloud and locally on the agents is also necessary. That requires free communication between every agent and the cloud.
In this webinar, we will show you how you can validate algorithms that depend on Vehicle-to-Vehicle (V2V), as well as Vehicle-to-Infrastructure (V2I) communication. We will demonstrate these technologies through a multi-agent collision avoidance and data visualization example. You will see how we leverage the Hector SLAM algorithm developed for Quanser’s self-driving QCar and its LIDAR data for vehicle localization, and a central cloud for data visualization and communication.