GPS World • July 2022 • MOBILE

HERE Technologies is collaborating with Amazon Web Services (AWS) to of fer developers access to an array of location services through the new AWS Serverless Application Repository.

Through the collaboration, HERE and AWS are increasing the speed and ease in which developers can access and integrate core location services into their applications.

Using the repository, developers can rapidly deploy AWS Lambda into their own AWS accounts that serve as proxies to HERE location services, allowing for a microservices approach to calling HERE locations services. This approach also provides developers with benefits from Amazon API Gateway and AWS Lambda capabilities such as cache, throttling and authentication.

Developers can access the location services on the repository with credentials from developer.here.com.

Developers on the AWS Serverless Application Repository have access to a suite of HERE location services, including:

• map images and tiles
• geocoding
• positioning
• routing
• road toll costs
• road traffic conditions
• public transit information
• weather conditions.

Google ARCore Geospatial API to Power Apps

Google has launched the ARCore Geospatial API in ARCore software development kits (SDKs) for Android and iOS across all compatible ARCore-enabled devices.

The application programming interface (API) is available at no cost to download and opens nearly 15 years of Google Maps data to help developers build more useful and immersive augmented reality (AR) experiences.

“The Geospatial API provides access to global localization — the same technology that has been powering Live View in Google Maps since 2019, providing people with helpful AR-powered arrows and turn-by-turn directions,” explains a Google blog.

“Based on the Visual Positioning Service (VPS) with tens of billions of images in Street View, developers can now anchor content by latitude, longitude and altitude in more than 87 countries, without being there or having to scan the physical space, saving significant time and resources.

“For end users, discovering and interacting with AR is faster and more accurate as images from the scanned environment are instantaneously matched against our model of the world,” the blog states. “This model is built using advanced machine-learning techniques, which extract trillions of 3D points from Street View images that are then used to compute a device’s position and orientation in less than a second.

“In other words, users can be anywhere Street View is available, and just by pointing their camera, their device understands exactly where it is, which way it is pointed and where the AR content should appear, almost immediately.”

Early-access partners include the NBA, Snap and Lyft, who are exploring and building applications in areas such as education, entertainment and utilities.