Hungarian researchers develop intelligent vehicles of the future

The main cause of accidents is that drivers are distracted, make bad decisions and often react too slowly to sudden dangers. In addition to run-overs and crashes, all this also causes congestion, fuel waste and delays.

Imagine an autonomous system that not only follows traffic rules, but is also able to “see” a pedestrian suddenly stepping out from behind a bus and adjust its route accordingly to avoid an accident before it happens. We are increasingly hearing about more or less self-driving cars, which are becoming more advanced, but adapting to real-world traffic situations and unpredictable human drivers is a much bigger challenge than most people think.

Overcoming these obstacles requires innovative research, advanced algorithms, and control systems that properly handle the diversity of the real world – this is what the HUN-REN SZTAKI Systems and Control Theory Research Laboratory (SCL) has been working on for over 35 years.

Smarter transportation, safer roads

HUN-REN SZTAKI SCL is one of the leading Hungarian research centers in mathematical systems theory and control engineering. The laboratory focuses, among other things, on solving real-world challenges in transportation by developing artificial intelligence-based control algorithms that enable autonomous vehicles to better predict, react, and learn in complex environments.

“Autonomous vehicles need to be able to navigate a world that is still full of human drivers and unpredictable situations. Our research aims to create models that enable self-driving cars to make safer decisions on the road,”

explains Professor Péter Gáspár, head of SCL.