Germany's path to autonomous driving: $ 20 million for Motor AI!

Germany's path to autonomous driving: $ 20 million for Motor AI!

Rudolfsheim-Fünfhaus, Österreich - The topic of autonomous driving is becoming increasingly important in the mobility landscape. This does not remain unnoticed: Motor AI, an emerging German scale-up, recently collected a proud $ 20 million in a seed financing round to further develop its AI Cognitive AI systems for autonomous driving. According to trending topics , the funding round was cited by Segenia Capital and Ecapital. Several German private investors also participated in this round.

With fresh capital in the back, Motor AI plans to use the technology this year in public road traffic in Germany. The special thing about it? Motor AI is the only German company that develops a level 4 system for autonomous driving due to data argument. This means that the vehicles should be able to make structured and transparent decisions. The typesetting according to European and German regulations is already intended for 2026, while security drivers are currently still to ride on board the vehicles.

challenges and opportunities of AI in road traffic

However, the implementation of such technologies raises questions about security. An example from practice sums up this: Verena, 39, plans to use your intelligent car for a ten -day trip with your family. Although the vehicle is equipped with modern assistance systems that drive independently and analyze traffic situations, it experienced a worrying situation. During a ride, her car crossed the speed limit of 60 km/h, which made it to control the vehicle manually. This experience illustrates the uncertainties associated with the AI in driving and the need to check these systems. The Federal Office for Information Technology (BSI) already deals with the topic and is committed to technical guidelines and standards for safe AI, as on bsi.bund.de can be read.

The challenges are complex: Artificial intelligence in autonomous vehicles must be fed with extensive training data in order to be able to navigate safely. Problems such as misinterpreted traffic signs or incomprehensible decisions can have serious consequences. A test run by US scientists from 2018 showed that a AI system incorrectly interpreted a stop sign due to a piece of paper, which indicates the weaknesses in the training database.

The role of the Fraunhofer Society

In order to further strengthen the security aspect of AI in road traffic, the Fraunhofer Society is trying to develop reliable solutions. According to Fraunhofer IKS work is being worked on in five sub-projects on the protection of AI functions of autonomous vehicles. A higher -level application is reliable pedestrian detection, which is essential for the safety of road users. In one of the sub -projects, the development of algorithms is being worked on, which ensure that pedestrians are also recognized in critical situations.

The aim of these efforts is to demonstrably meet the safety requirements for AI and to represent continuing risks transparently. A test plan is intended to help evaluate the security requirements and to promote exchange with standardization bodies. This commitment ensures that our streets will continue to become more secure in the future, while innovative technologies such as that of Motor Ai pave the way for the mobility of tomorrow.