eHorizon integrates topographical and digital map data with sensor data for predictive control of vehicle systems. Anticipated events, such as the uphill incline after the next corner, and in the future even dynamic events, such as accidents or traffic jams, are exploited at an early stage in order to optimize the vehicle’s response. This leads to more safety and comfort for drivers.

Dynamic eHorizon

With our Dynamic eHorizon vehicles become moving sensors. These sensors collect data and send  it to create a highly precise up-to-date map. Cloud traffic services enhance this map. This technology is therefore the backbone for automated driving.

Benefits & Features

  • Up-to-date – Enhancement and incremental update of maps by gathering data and data merge on backend
  • Dynamic data management – Handling of incoming traffic events and warning/ route adjustments based on crowed sourcing
  • Always On – Live data stream from HERE Auto Cloud
  • Fast time to market – Enable rapid development of web-based and mobile UIs that interact with the back-end infrastructure
  • Future Driven – Enabler Technology for automated driving.

Technical Information

  • Complete end-to-end solution
  • In-vehicle hardware and software
  • Continental / IBM backend solution
  • HERE HD map data
  • Integration of 3rd party applications such as live traffic stream (HERE)

Road Database

The collective intelligence of vehicles enables highly up-to-date and highly precise road data. This way we build Road Database purely from sample data of standard vehicles and software processing.

Benefits & Features

  • The collection of sample data from production vehicles enables our Road Database to be extensive, fresh, accurate and reliable.
  • Road Database is using multidimensional vectors, which are constantly enriched by dynamic vehicle and traffic data. The data sets in Road Database are created from sample data delivered by sensors of serial vehicles.
  • Sensor data is processed by software components of our Road Database solution within the vehicle. This data is then transmitted to the Road Database backend servers, where the data is aggregated, processed, stored and sent back to the vehicles.
  • Road Database is cost-optimized. It uses sensor-based map learning, precise positioning of road geometry, road equipment (eg. traffic signs, lights), as well as sensor enhancements via Crowd Sourcing (such as lanemarks, construction areas, etc.).