Navigation-in-the-Loop (1)
For higher safety and energy efficiency
| Navigation-in-the-Loop (Part 1) | Navigation-in-the-Loop (Part 2) | Navigation-in-the-Loop (Part 3) |
The consistent development of modern, map-based driver assistance systems and predictive energy management requires access to digital map data. CarMaker now provides a plug-in for data transfer (online and offline) from navigation systems, for instance from the ADAS Research Platform (ADAS RP) development environment by NAVTEQ.
- Navigation-in-the-Loop - ADAS RP, Google Earth, CarMaker
The CarMaker plug-in enables consistent, fully automated and comfortable route generation. This also applies to very long routes with corresponding information about the road infrastructure. The high level of quality enables direct use of the data in CarMaker. The virtual driver, i.e. IPGDriver, can immediately start the virtual vehicle for the desired test drive. The driver follows the prescribed route completely autonomously, and the driver’s behavior and driving strategy can be easily adapted as needed. The virtual driver observes traffic signs and “experiences” a predefined intensity of traffic at desired sectors of the route. During the test drive the virtual vehicle exchanges the global position and electronic horizon with the navigation system.
From the early concept phase onward, navigation-in-the-loop enables conclusive, reproducible and consistent functional tests – on the PC, in any hardware-in-the-loop environment or on the engine test rig. Optional systems are thus integrated with the CarMaker test and integration platform and extremely effectively subjected to virtual test drives.
Prerequisites for the Development of Map-Based Systems
Modern energy management or novel driver assistance systems, in addition to the current driving mode and ambient information, also require predictions to be made about the anticipated characteristics of the route. They include, for example, uphill sections in the road, cornering radii, speed limits, number of lanes, intersections and traffic lights. The intelligent fusion of this information leads to a plus in safety and energy efficiency. This is the principle on which, for example, the preview functions are based for:
- Adaptive Cruise Control (ACC)
- Green ACC
- Corner warning assistants
- Adaptive light
- Traffic jam warning assistants
- Innovative algorithms for predictive energy management of hybrid or full electric vehicles
- Heat management
