EAISI Mobility Lab is a collaboration between Eindhoven University of Technology and NXP Semiconductors. It aims to use the ongoing digitization of vehicles and transport services to bring about accident-free mobility.
At present, too many people die or get hurt on our roads. The researchers at the Mobility Lab believe that technology and AI in particular can make vehicles inherently safe by giving drivers real-time support in critical situations. In order to achieve this goal, they use technologies like machine learning, world modelling, optimized human-machine cooperation, new vision and radar systems, and ultrafast actuators.
The Mobility Lab aims to design intelligent mobility systems that sense their environment, learn and understand it, and, in interaction with humans, reason about which action to take to achieve specific goals. Examples include new types of cruise control systems, pro-actively adjusting speed based on surrounding vehicles, traffic jam assistance and platooning.
One of the focus areas of the EAISI Mobility Lab is perception technology. At present, intelligent mobile systems are increasingly able to sense the world around them, but in order to operate in an open, dynamic and often unpredictable environment, they also need to understand it. By understanding the outside world, (autonomous) vehicles can anticipate possible future events and plan safe and effective actions in response.
Program manager Margriet van Schijndel-de Nooij: “I firmly believe that artificial intelligence can boost safety and energy efficiency of vehicles, but also of our overall mobility system. To establish this, close collaboration with industrial partners like NXP is crucial. Being part of the ICAI network helps us to maximize the impact of our innovations.”
The current research program of the EAISI Mobility Lab has been running since September 2019 and comprises the expertise of two research groups within TU/e (Mobile Perception Systems, and Control Systems Technology). It is carried out by five PhD researchers, plus a large number of students who are actively participating in the research. The team is currently working on extending the program for another two years.
A selection of research topics
Enhancing vulnerable road user path prediction using deep inverse reinforcement learning.
Enhancing generalizability and completeness of deep scene understanding by exploiting semi-supervised training methods and improved network designs.
To improve on-road safety estimation and path planning methods to include prediction models of other road users.
Gerardo Daalderop (Industry Director)
Gerardo Daalderop is senior principal technical director at NXP Semiconductors.
Gijs Dubbelman is assistant professor at the Video Coding and Architecture group at Eindhoven University of Technology.
Emilia Silvas is assistant professor at the Mechanical Engineering Department at Eindhoven University of Technology.
Margriet van Schijndel
Eindhoven Artificial Intelligence Systems Institute (EAISI) is an institute of Eindhoven University of Technology in the field of AI.
NXP Semiconductors is a Dutch-American semiconductor manufacturer for the secure identification, automotive and digital networking industries.