3d mapping services <\/span> into a custom app. Users can create their own JavaScript plugins to convert large binary data streams into a suitable format for observation, validation, and processing.<\/p>\nThe next stage was to\u00a0create a data processing pipeline and integrate it into our client\u2019s mapping data platform. The new pipeline uses map data as its source and converts it into vector tiles for a convenient usage. We migrated data pipeline from the legacy data source to the new one supplied by our client\u2019s platform data visualization services. The new data source combines multiple data layers, including linear and polygonal features as well as road, lane, navigation, address, and other attributes.<\/p>\n
Next, we configured the data pipeline to run incremental map updates and compilation. This has accelerated the compilation process by recompiling only those individual parts of the map which are relevant for the update. Our compilation team also created a data validation library for detection of errors in the compiled vector tile data before use site visualization.<\/p>\n
To take the full advantage of open web maps as an output and client-side rendering performance, our team is preparing simplified geometry data, covering lines and polygons representing administrative borders, water bodies, roads, and more. As a result, Intellias engineers have come up with an optimized data specification that includes rendering-friendly cartographic attributes.<\/p>\n
Business outcome<\/h2>\n Last year, our client showcased their capabilities in 3D map rendering <\/span>\u00a0at the world\u2019s largest technology show, CES 2018. The open location platform received positive feedback from industry insiders and influencers as a compelling product not only for automakers but also for organizations from any industry that relies on geolocation data and services, including insurance, logistics, IoT, machine learning, retail, and urban planning.<\/p>\nThe solution we\u2019re developing brings these advantages to our client:<\/b><\/p>\n\n\u200bProvides access to highly accurate, rich, and up-to-date location-related content and services, including built-in map matching, geocoding, routing, and weather and traffic data<\/li>\n Supports the development of world-class, location-centric applications<\/li>\n Establishes a secure and scalable marketplace that simplifies data exchange within the ecosystem and speeds up time to market<\/li>\n Allows users to manage their data visibility and control privacy and licensing<\/li>\n Provides critical information that autonomous vehicles need to maintain road safety<\/li>\n Offers an environment to perform interactive data analysis and develop machine learning models<\/li>\n<\/ul>\n\u200b<\/p>\n","protected":false},"excerpt":{"rendered":"
We\u2019re helping the world\u2019s top location expert build comprehensive 3D mapping solutions for data visualization<\/p>\n","protected":false},"author":15,"featured_media":51144,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[12,75,910,23,458],"class_list":["post-17528","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-study","tag-automotive-tag","tag-data-analytics","tag-mobility","tag-navigation","tag-transportation","technologies-geojson","technologies-jasmine","technologies-protobuf","technologies-three-js","technologies-typescript","technologies-webpack"],"acf":[],"yoast_head":"\n
3D Mapping Solutions for Data Visualization | Intellias<\/title>\n \n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n \n\t \n\t \n\t \n