Traditional driver assistance systems use sensors to control speed and steering. However, when roads are not flat and straight, adding a map to the equation is required. As this report
from IHS Markit explains “new sources of data can be employed to extend the effective horizon of these applications beyond the line-of-sight limitations of the sensor technologies on which they are primarily based. Map data are one way to extend that horizon”. Since 2012, our navigation maps also contain additional data which can be used as a predictive sensor to anticipate the road ahead. This is useful for a range of use cases such as predictive cruise control, traffic sign recognition, path planning, speed optimization and more.