With the increasing automation of vehicles and the expansion of advanced driver assistance systems (ADAS), the importance of highly precise and constantly updated map data is growing. According to a report by Marketsand Markets the global ADAS market is expected to grow from 27 billion dollars in 2022 to over 75 billion dollars by 2030. McKinsey found out that over 70 percent of ADAS functions require map-based inputto function optimally. The cloud-based and modular map standard NDS.Live plays a key role here. But how exactly does NDS.Live influence the development of safe and intelligent ADAS solutions?
A study by the European Commission says that advanced safety systems could prevent 25,000 road deaths and at least 140,000 serious injuries by 2038 in the EU alone. From 2024, the EU’s General Safety Regulation mandates certain ADAS functionalities in all new cars. However, for this to work, ADAS systems depend on accurate information about road conditions, traffic management, and potential hazards. While vehicle sensors (cameras, lidar, radar) detect the immediate environment in real time, digital maps provide a predictive perspective. NDS.Live provides a highly up-to-date, standardized data set that includes important elements such as:
This information enables ADAS systems to issue early warnings or initiate automated maneuvers – for example, automatically adjusting speed before a sharp curve or detecting a speed limit early on.
In addition to the static map basis, the integration of real-time data is crucial for ADAS. NDS.Live uses a cloud-native architecture to provide updated information. This includes:
Thanks to this cloud connectivity, a vehicle can access not only its own sensors but also a constantly updated database.
A global data standard such as NDS.Live ensures that map information is available in a standardized way, independently of vehicle manufacturers, regions or software providers. This has several advantages such as interoperability so that manufacturers can seamlessly integrate ADAS and navigation systems into different vehicle models and markets. Then there are consistency and reliability since standardized formats and structures reduce errors and enable a safe driving style – regardless of the type of vehicle. Additionally, developers benefit from standardized interfaces, which reduces development times and costs, a plus for efficiency and scalability.
Modern navigation solutions must do more than just calculate the best route. NDS.Live enables adaptive, context-sensitive navigation that dynamically adapts to current conditions. Thanks to its modular, cloud-based architecture, only the map sections and live data that are actually needed are streamed, which improves efficiency and reduces storage requirements. By integrating sensor data from other vehicles and infrastructure sources (e.g. traffic management systems), critical situations can be detected early. Furthermore, NDS.Live provides a multi-layer map structure, which displays both long-term and short-term changes.
NDS.Live ensures that map information is not only accurate and up to date, but also available in standardized and scalable form – an essential building block for the future of intelligent mobility.
The NDS.Live ADAS Module provides attributes to support ADAS use cases, for example, slope, curvature, gradient, or comfortable speed. ADAS attributes are valid for positions or ranges on a feature geometry or a dedicated ADAS geometry. The ADAS geometry is independent of the road geometry and can contain different positions than the corresponding feature geometry. The ADAS attributes can be assigned to roads, road locations, lanes, or transitions using the corresponding layer.
You can find out more in this blogpost about the NDS.Live ADAS Module. To learn more about NDS.Live please visit the NDS.Live Developer Portal.
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