DeepScenario showcases its AI software at the world’s largest technology show

The Consumer Electronics Show (CES) draws every year more than 130.000 visitors to Las Vegas. The trade fair is one of the most prestigious technology events worldwide with a special focus on mobility, autonomous systems, and transportation. For the first time this year, DeepScenario took part at CES with a booth and presented its groundbreaking AI software to a wide international audience. The software builds the essential link between the physical and the virtual world and enables industry-specific solutions in dynamic environments. Areas of application include: accelerating the deployment of autonomous systems, increasing throughput at intersections, or monitoring the occupancy of parking lots.

Innovations at the German Pavilion

DeepScenario’s booth was embedded in the German Pavilion, which brings every year leading German companies to CES. It is supported by the two federal ministries BMWK and BMDV and enables German companies to present themselves and their innovations at international trade fairs.

This year, the German Pavilion was opened by Dr. Volker Wissing, German Federal Minister for Digital and Transport, and Hildegard Müller, President of the German Association of the Automotive Industry (VDA).

Spotlight on ScenarioEye by German Minister

One of DeepScenario’s highlights at CES was the exchange with the German Minister and his spotlight on the publicly funded project ScenarioEye in his opening speech: 

“Artificial intelligence also plays a part in autonomous and connected driving, and we are supporting this development because we are convinced by it. With our mFUND innovation initiative, we are promoting, among other things, the ScenarioEye project. It is carried out by DeepScenario, one of the exhibitors here at the German Pavilion, and this project is focused on finding AI solutions to reconstruct high precision movement data from traffic images. The data collected is to be used for simulations and safety tests in the context of automated driving, and I’m sure that you can learn more about this exciting project in a moment at DeepScenario’s stand […].” 

About ScenarioEye

ScenarioEye is a joint project of DeepScenario and the Technical University of Munich, supported by the mFUND initiative of the German Federal Ministry for Digital and Transport. The aim of the project is the development of a scalable processing pipeline for reconstructing driving scenarios from traffic videos, which can then be used to test and validate automated driving functions in simulation. The central activities of the project include the research and development of AI algorithms for static scene reconstruction as well as the detection and tracking of all moving objects in the videos.

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