The logical next step for functional algorithms are connected functional algorithms that use a networked database. These make it possible to enhance and refine the defined driving situations with external information. The dynamic integration of external information from the cloud and from other vehicles allows driving situations to be anticipated and consequently enables completely new lighting functions for better safety and comfort.
One example of predictive lighting is the integration of current weather data. Another is the integration of information from other vehicles (direct V2V) regarding exact route guidance or possible obstructions on the road, for example. In addition, further information about autonomous driving functions will be available, enabling improvements to lighting. Find out more!
Connected functional algorithms utilize external data sources that provide them with up-to-the-minute information from the cloud or other vehicles depending on their needs.
Additional information relevant to driving, such as weather services, can be integrated in the lighting situation.
Communication between vehicles (direct V2V) allows the lighting to be adapted automatically to suit the situation.
Soon intelligent systems will be able to recognize patterns, communicate with other vehicles and independently continue to develop functionalities.
External data sources are integrated to ensure that lighting adapts even more effectively to the defined standard situations. These can come from the Internet (weather service), be stored in the back end (dynamic map data ) or be supplied by other vehicles (direct V2V). The possible applications in this respect are virtually unlimited.
In the future, the evolution of self-learning systems will also make it possible to implement driver-specific functions.
The rapid development of intelligent lighting options will soon see them become a separate, full-fledged ADAS element.
These interconnected lighting scenarios with communication interfaces may also be especially important for highly automated and fully automated driving.
Not all vehicles will be adapted in the short term, which is why solutions that work for connected and non-connected vehicles are required.