Navigation-in-the-Loop (3)

For higher safety and energy efficiency
Driver Model Included: IPGDriver ™ for Navigation-in-the-Loop


The CarMaker ® navigation plug-in now makes the carefully conceived driver model, IPGDriver ™, available for the development of map-based functions. In simulation the virtual driver independently drives the generated routes with autonomous direction and speed planning. While following the route the driver observes the signage and thus the real-world speed limits. In addition, the driver is able to respond to a sudden incidence of traffic by means of the new traffic sequence model. The crucial aspect of this is the fact that the driver’s behavior can be easily adapted: aggressive or defensive, sporty or normal, hectic or predictive, eco-driver or sleepy/dozy driver. This is an important prerequisite for the testing and development of energy management solutions. It opens up the possibility, for instance in the case of hybrid electric vehicles, to assess the efficiency of systems in their interactions with different types of drivers at an early stage.

Technical Background

First, to obtain the required position data, a connection between ADAS RP and CarMaker ® is automatically established. Then CarMaker generates the GPS signals required for ADAS RP, including speed and simulation time, and transfers this data to ADAS RP. Based on this data, ADAS RP calculates the Most Probable Path and delivers it back to CarMaker ®.

In the office version the communication between CarMaker ® and ADAS RP occurs via a TCP/IP socket interface and the UDP/IP protocol, for Hardware-in-the-Loop simulations via a CAN interface with the standardized ADASIS v2 standard protocol. And since ADAS RP can be accessed via this TCP/IP socket interface CarMaker ® brings another advantage to bear here: It enables use of the full functionality of the highly capable test automation via the TestManager, across computers or networks.

CarMaker ® calculates both, the simple Flat-Earth-Geo model and the more complex, i. e. more accurate as well as more calculation-intensive, Gauss-Krüger-Geo model. Consequently, the allocation to other navigation devices is easily possible.



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