Creating 3D HD maps for autonomous driving requires full-cycle automotive big data services, including eliciting raw and semi-raw data from mobile cameras, sensors, and GPS devices. All these steps are required to locate objects on the road, process them through map coverage and attribute derivation, as well as compiling and publishing HD maps themselves. We collect cartographic data from automotive data companies, volatile external online data, aerial images, Lidar/radar data, and provide data collecting services with real-time data processing and analytics.
This way, we create HD maps suitable for direct-to-car and OEM cloud consumption as part of our automotive data solutions. These multi-layer maps contain details at several levels like roads, lanes, lane geometry, and are constantly updated with incoming data on new road attributes. Being aware of the importance of big data in the automotive industry, Intellias leverages it to help clients get ready for the driverless future.