Artisense: Giving eyes to autonomous systems
Together with our partners DB, Siemens,Bombardier, ALBA and the startup Artisense, we teamed up to create an innovative 3D map of Berlin.
One of the rapid changes we see happening today is vehicles and systems becoming more and more autonomous. However, for a car to autonomously navigate in a city, it needs to see and be able to locate itself.
And today, we would like to share one of our Beyond1435 projects with you!
Together with our corporate partners DB, Siemens and Bombardier, ALBA and startup Artisense, we teamed up to create an innovative 3D map of Berlin, which serves as a basis to do just that: give eyes to autonomous systems.
Artisense, a startup that was founded in Palo Alto and moved its R&D to Munich, found several partners to join forces to do a so-called joint business development via our open innovation platform Beyond1435. The term “joint business development” or short JBD describes a pilot project in which at least two corporate partners and a startup work on a common use case. Shared and diverse resources and expertise as well as access to powerful networks are only a few advantages of JBDs.
During our pilot project in Berlin, we equipped several cars with Artisense technology to test the software in the field. Averaging about 400 driven kilometers a day, we gathered a total of 8000 km of camera and sensor data within the city, that the Artisense software turned into a 3D point cloud machines can read. As a result, we created a virtual 3D map with semantic classifications- a basis for the daily use in autonomous systems.
In the future, a dynamic version of this map is meant to enable systems to navigate autonomously, safe and GPS independent in a smart city such as Berlin. In a dynamic map, the map is constantly updated with real time, allowing autonomous systems to also react to unforeseen events and changes on the road.
Artisense wants to enable machines to see- for a fraction of the costs of others. Using (non-expensive) hardware, Artisense wants to offer a scalable solution that can be implemented in any vehicle. Since Artisense software does not build on photo realistic 3D visions but 3D point clouds, it significantly decreases data size, which makes the data size of a dynamic map a lot more manageable. Also, no expensive sensors such as LIDAR are needed.
Following our pilot phase which happened from January- March this year, we are currently in the process of evaluating test results and possible business cases to move forward with.
Building on our pilot phase results, Artisense and the partners would like to set a standard in the industry. Besides functioning as an operational due diligence for corporate funds of the platform partners, this cooperation also sets the foundation for future use of the technology.
To name a few examples, Bombardier wants to use the technology to improve obstacle and danger detection in order to make train systems safer. ALBA wants to find a safe way to navigate autonomous waste disposal trucks in the future.
For more information about Beyond1435: https://www.beyond1435.com/
If you want to learn more about Artisense: https://www.artisense.ai/
Stay tuned and follow us to get to know more about our exciting ongoing pilot projects at Beyond1435 in the future.
