{"id":26841,"date":"2020-08-25T23:36:56","date_gmt":"2020-08-25T21:36:56","guid":{"rendered":"https:\/\/www.intellias.com\/?p=26841"},"modified":"2024-04-26T12:35:34","modified_gmt":"2024-04-26T10:35:34","slug":"hd-maps-for-autonomous-driving","status":"publish","type":"post","link":"https:\/\/intellias.com\/hd-maps-for-autonomous-driving\/","title":{"rendered":"HD Maps for Autonomous Driving"},"content":{"rendered":"

Business challenge<\/h2>\n

Starting in 2018, our client, a global leader in navigation and location-based solutions<\/a>, began streamlining their forward-looking portfolio towards fully automated driving. As a proven and trusted partner for many years, Intellias was selected to aid in the implementation of key services that will drive the future of the autonomous world. One of these services was HD maps for autonomous driving<\/a> in the European and Asia-Pacific regions.<\/p>\n

The challenge of this project was to build a future-proof road network of HD maps for autonomous driving<\/a>, enabling vehicles to understand the world through an immensely detailed and dynamic map for autonomous driving.<\/p>\n

\"HD<\/p>\n

HD maps autonomous driving solution delivered<\/h2>\n

The project started with an operational review by our client of our processes, systems, and expertise. During a visit to the Intellias headquarters, our client inspected how successful we are at running the development of 2D NDS-compliant maps<\/a> and related functionality. As a result of a successful audit, our client selected us to lead the R&D project to develop an algorithm for precise route building and map overlays<\/b>. The challenge our team faced stemmed from our client\u2019s ambitious goal. Implementing an algorithm that can map out a route for a fully automated vehicle requires in-depth technical expertise accompanied with a unique state-of-the-art approach.<\/p>\n

In half a year, we delivered a reliable algorithm for autonomous driving maps. It enables both highly and fully automated driving experiences by providing accurate route planning<\/a> based on lane-level information, speed data, and real-time information about the situation on the road.<\/p>\n

Having proven our ability to operate at the cutting edge of technology, we were also asked to participate in the full cycle development of 3D maps, from eliciting source data to creating and publishing the autonomous driving maps themselves.<\/p>\n