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Machine detection can make driving safer and more efficient

Intelligent transport hubs, automated vehicles, predictive analysis of motorcyclists – Bosch Budapest Innovation Campus hosts the first international conference on cognitive mobility

  • First international conference on cognitive mobility held in Budapest
  • Developing transport systems by combining the achievements of several disciplines with the latest technological innovations
  • Bosch is at the forefront of increasing the efficiency and security of mobility
Machine detection can make driving safer and more efficient

Budapest – Researchers and developers who meet for the first time in the world at the Conference on Cognitive Mobility held at the Bosch Budapest Innovation Campus on 12-13 October are working to increase the efficiency and safety of transport and to optimise everyday mobility. Covering a wide range of disciplines, they seek answers to questions that determine the everyday life of the future, such as how machine detection – based on cameras, sensors and lasers – can make transport safer, how it can improve human perception, how it can speed up or make mobility more affordable in everyday life, for example by reducing traffic jams, thus contributing to a more liveable environment in future cities.

“At Bosch Group in Hungary, thousands of engineers are committed to researching the automotive technologies of the future to help us in our everyday lives. Cognitive mobility is an emerging field of science that combines transport developments and brings synergies to the benefit of society", said István Szászi, representative of the Bosch Group in Hungary and in the Adria region.

"Machine detection can make traffic more efficient and safer, as human neglect is the greatest uncertainty factor. Technological development has reached a level where developments based on automotive and artificial intelligence can be combined with a cognitive approach to social sciences and used as a unified system for the benefit of society ", said Máté Zöldy, head of the Innovative Vehicle Technologies Competence Center of the Budapest University of Technology, chair of the conference.

Communicating transport hubs, sensors monitoring the motorcyclist's posture
The comprehensive approach to cognitive mobility is exemplified by developments aimed at building smart, communicative and networked transport hubs. Such a system not only monitors the movements and intentions of vehicles, but also pedestrians and cyclists, and regulates momentary traffic in such a way as to minimize traffic jams. The system shall be able to send a signal to vehicles as to the speed at which they approach the hub so that they do not have to stop. In the longer term, you can even instruct the automated vehicles to slow down, all by processing information from cameras, sensors, laser sensors and artificial intelligence.

Another study serves the safety of motorcyclists. The rider's posture leads it to conclude his expected intentions, for example, his overtaking or cornering manoeuvre. The data collected and evaluated during the tests help machine learning so that the improved driver assistance systems for vehicles detect the intention of the motorcyclist in the vicinity as soon as possible and are more likely to avoid an accident.

First in the world in Budapest
More than thirty presentations of the first IEEE International Conference on Cognitive Mobility organized by the Budapest University of Technology and Economics and the Bosch Group in Hungary, supported by the international Institute of Electrical and Electronics Engineers (IEEE), will present the latest studies and results of Hungarian and foreign universities, research centres and development companies. The venue of the event is the Bosch Budapest Innovation Campus, which was opened on 8 September 2022.

Tags: Bosch, Cognitive Mobility, Bosch Budapest Innovation Campus, automated vehicles, artificial intelligence

Zita Hella Varga

Phone: +36 70 667-6374