Integrate
Connect through the delivery pattern appropriate to the product: API, SDK, data feed, application, device, private platform or enterprise integration.
N04 · Automotive
Lane, road attribute, risk and predictive horizon data
What it enables
Production-grade navigation, connected, ADAS, shared and electric mobility technology for OEMs. Lane, road attribute, risk and predictive horizon data. Mappls can provide this as a focused building block or combine it with adjacent data, APIs, platforms, devices and services.
How it fits
Connect through the delivery pattern appropriate to the product: API, SDK, data feed, application, device, private platform or enterprise integration.
Add other Mappls layers without replacing the common location foundation or fragmenting operational context.
Align hosting, security, offline needs, users, geographies and existing enterprise systems.
Data licence/royalty, with final packaging based on scale, update frequency, deployment and support.
Proof path
A useful proof starts with the business workflow and validates data fit, user experience, systems integration and an outcome measure. The exact scope can be a sample geography, app journey, fleet, user group or operating site.
Related use cases
Camera/sensor-only systems lack horizon context and consistent road intelligence, while fleets and agencies need actionable risk maps.
Explore solutionUnsafe driving and incidents are reviewed after the fact, with limited context or coaching closure.
Explore solutionPlants and yards lack a current spatial operational layer linking assets, vehicles, people, incidents and workflows.
Explore solutionOrganizations need to plan employee access and commute, operate routes and shuttles, monitor vehicles and proactively reduce driver and passenger safety risks.
Explore solutionYour outcome, powered by Mappls
Share the workflow, scale, geography, technical environment and success measure. We’ll recommend the integration and proof path.