Artificial Intelligence for autonomous driving.
Innovative AI from fundamental German research.
MOTOR Ai works with a novel approach to artificial intelligence based on explainable, logical reasoning on cognitive decision making. The technology developed by MOTOR Ai can be certified in Germany and the EU. It makes safe, comprehensible decisions in complex traffic situations.
Our AI produces deductive, explainable decisions.
Our system is able to make independent decisions in complex traffic. In contrast to trained model approaches, the system can make an explainable decision in a completely unknown situation. This means we don't have to drive millions of kilometers to learn how to successfully solve an infinite number of road traffic scenarios.
The system behind MOTOR Ai.
Our autonomous driver is not a black box. The decisions our AI makes are fully explainable and understandable.
EXPLAINABLE.
We use reproducible argumentation methods. This enables us to recognize the many complex situations in road traffic more precisely and solve them better.
REPRODUCIBLE.
Our system can be certified according to the highest industry standards. Germany has issued the world's first legal framework for the certification of autonomous driving functions.
CERTIFIABLE.
MOTOR Ai's system is capable of making intelligent decisions just like humans would do. The key to this is our cognitive artificial intelligence based on Active inference .
INTELLIGENT.
As our system develops a comprehensive, logical understanding in real time of the real world traffic scenarios. That’s why it saves time and money and is therefore scalable right away.
SCALABLE.
Autonomous without compromise.
MOTOR Ai’s level 4 Autonomous Driving Systems architecture comes with functions that the software can retrieve without data-intensive training. The system perceives and understands traffic situations using a four-times redundant computer system and an additional MRM (Minimal Risk Maneuvre) computer for vehicle operation.
Perception
We rely on a multi-redundant sensor stack that includes LiDARs, radars, cameras, an IMU, and GPS.
Our sensor fusion model provides a detailed understanding of the environment by combining data from multiple sensors to generate an accurate image of the road situation and create a 3D bird's-eye view. This serves as the foundation for our decision-making.
Sensor fusion
Decision Making
Based on perception and sensor fusion, our decision-making module operates using Active Inference. This allows the vehicle to adapt to its environment without relying on pre-trained tracks or numerous simulations, much like how the human brain learns and adapts in real time.