Marc Prioleau

Marc Prioleau is the executive director of Overture Maps Foundation, a collaborative effort to enable current and next-generation interoperable open map services Overture Maps was founded in December 2022 by Amazon, Meta, Microsoft and TomTom. Marc is an early and frequent advocate for the use of open map data, having worked in the mapping and location field since 1995, first in the nascent GPS market and later in mapping and location services. Marc has worked with the mapping operations at a variety of companies including Meta, Uber, Mapbox and deCarta. In his most recent position at Meta, Marc was on the core team that developed the concept for Overture Maps and launched the project.

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Presentation

Empowering the automotive ecosystem through collaborative mapping

The automotive industry is being transformed by connected vehicles and advanced perception systems, generating a wealth of data that has the potential to revolutionize mapping. However, challenges in data processing, integration and standardization remain. Overture Maps offers a collaborative solution. It provides an open, customizable base map for driver-facing navigation and machine-readable applications, empowering the automotive ecosystem to build unique map products, enhance user experiences and unlock new revenue streams. By establishing interoperability for automotive data layers like traffic, hazards and parking information, Overture enables a rich ecosystem for seamless data exchange. Sensor data generated by millions of vehicles holds tremendous potential. However, challenges remain in standardizing data formats, streamlining mapmaking and establishing efficient sharing mechanisms. We invite OEMs, suppliers and the broader automotive ecosystem to collaborate with us to unlock the full potential of this data. Together, we can enhance map quality and coverage while fostering innovation and efficiency only possible through collaborative mapping. Join us to learn how Overture is empowering the automotive ecosystem to harness the full potential of collaborative mapping.