Safe automated and interconnected driving using self-updating maps in the heart of berlin.
In the pursuit of defining standards and techniques for safe driverless cars, the potential of shared self-updating digital maps as a basis for automated and interconnected driving is being researched. The state of Berlin and project partners from various companies and institutes are working on this together in the project “SAFARI” with coordinatory support from BLIC.
Research is being conducted under real-life circumstances in the Reinickendorf district, where three key technologies can be developed and tested: high precision digital maps, modern infrastructure and high (real-time) connectivity.
© Fraunhofer FOKUS https://www.fokus.fraunhofer.de/go/asct/
Legend / Explanation of the view:
on the top left:
Video data with 2D object detection by DeepLearning network,
Tracking of 2D boxes (IDs in the boxes) by Motionflow tracker
on the top right:
Occupancy Grid of lidar data
3D box detector, merging 3D LIDAR points and 2D boxes from the DeepLearning network
Freespace, LIDAR-Range measurements
until the first obstacle
The animation represents the planned structure and workflow of the work packages.
You can find the project’s official website here.