IPGTraffic: It is a traffic environment simulation tool that provides rich models of traffic objects (vehicles, pedestrians, road signs, traffic lights, road construction buildings, etc.). It can realize the simulation of real traffic environment. The test vehicle can identify traffic objects and trigger actions accordingly (for example, a speed limit sign can trigger the vehicle to decelerate accordingly).
IPGDriver: An advanced, self-learning driver model. It can control the vehicle under various driving conditions, such as uphill start, parking in garage, and reverse steering. And it can adapt to the dynamic characteristics of the vehicle (drive form, gearbox type, etc.), road friction coefficient, wind speed, traffic environment conditions, and adjust the driving strategy.