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Self-driving cars can already do quite a bit, but driving as a human being requires something that algorithms cannot do very well: being insecure and careless. A new model that maps the mechanism behind human driving should change this.

Researchers from TU Delft have now developed a new model that describes driving behaviour on the basis of one underlying ‘human’ principle: managing the risk below a threshold level.

Joost de Winter: "The industry is increasingly seeing the importance of research in the field of robotics. Delft engineers lead robotics solutions that enable a company to innovate its technologies."

How can robots function within various processes in a factory? What is a good robot engineer according to the industry? These two questions were central in setting up the new Master's degree programme in Robotics at TU Delft.

Full and prolonged levels of lockdown are unsustainable in the long run. More flexible social distancing approaches are already being applied in many countries and regions, while the tools for decision-making are still ‘work in progress’. TU Delft researchers are using applied mathematics to propose a tool for local authorities that enables them to apply a faster and more flexible approach to social distancing.

The Open Science Awards recognize researchers or research students who have used Open Science to make their research more accessible, transparent or reproducible.

What will the technology look like in the year 2020? Much has been said and written about this in recent years, from self-driving cars that dominate the street scene, to a network with internet-connected devices around us. What has come of those predictions?

Self-driving cars are coming. But for all their fancy sensors and intricate data-crunching abilities, even the most cutting-edge cars lack something that (almost) every 16-year-old with a learner’s permit has: social awareness.

Dariu Gavrila has received the Outstanding Research Award 2019 from the IEEE Intelligent Transportation Systems (ITS) Society for his work on "Active Vulnerable Road User Safety with focus on vision-based pedestrian and cyclist detection, motion modelling and path prediction".