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
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...
Article on the Remaining Challenges of Self-Driving Vehicles: Interview with Dariu Gavrila in the Dutch NRC Newspaper
A two page article titled De grote datarace: een rijbewijs voor de robotauto (the great data race - a driver license for the robot car) appeared in the Dutch national newspaper NRC (2 Sept. 2017) on the remaining challenges of selfdriving vehicles, featuring an...
Paper on Cyclist Path Prediction at IV’17
Last month, we presented following paper at the IEEE Intelligent Vehicles Symposium 2017: E.A.I. Pool, J.F.P. Kooij and D. M. Gavrila. Using Road Topology to Improve Cyclist Path Prediction. Proc. of the IEEE Intelligent Vehicles Symposium, Redondo Beach (CA, USA),...
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