Increase the safety, comfort and sustainability of transportation by means of intelligent vehicles and automated driving.
Focus on on-board components dealing with environment perception, dynamics & control, and interaction with humans.
Address the complex unstructured urban environment and vulnerable road users, such as pedestrians and cyclists.
Latest News
Mercy with the Robots (Article in Der Spiegel, 49 / 2017)
An article "Erbarmen mit den Roboter" (Mercy with the robots) appeared in Der Spiegel of 49 / 2017 covering research of the Intelligent Vehicles group at TU...
“Efficient Deep Learning” proposal granted by Dutch Science Foundation NWO
Our proposal Efficient Deep Learning (EDL) has been granted by the Dutch Science Foundation NWO. EDL brings together leading Dutch universities working on machine learning and efficient computation, and industry that is developing Big Data applications. See NWO press...
Pavlo Bazilinskyy wins prestigious European Young Researchers Award (EYRA)
Pavlo Bazilinskyy, PhD-candidate in the Intelligent Vehicles group at TU Delft, has won the prestigious European Young Researchers Award 2017. Pavlo Bazilinskyy started a PhD programme at Delft University, as a Marie Curie early stage researcher in the Human Factors...
3sat German TV – Special on IAA
The German 3Sat “Nano” science TV program featured a special regarding the IAA 2017 in Frankfurt on September 15-th, also covering the TU Delft IV group. See...
On road eye tracking in Sweden and the Netherlands
Example publication(s): Cabrall, C.D.D., Petrovych, V., & Happee, R. (2017). Looking at drivers and passengers to inform driver state monitoring of in and out of the loop. In N.A. Stanton (Ed.), Advances in Human Aspects of Transportation, Springer...
Upcoming Events
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Past Events
Introduction Days – Vehicle Engineering MS Track – 4 & 5 September 2017
The Introduction Days for the Master Track in Vehicle Engineering for the 2017-2018 academic year will be held 4-5 September at TU...