innocamNRW Mobility Meeting
On 25.11.22 we presented the results of the project KISSaF - AI-based Situation Interpretation for Automated Driving at the innocamNRW Mobility…
We congratulate Mr. Manuel Schmidt on his successfully completed doctorate
We congratulate Mr. Manuel Schmidt on his successfully completed doctoral thesis "Behavior Planning for Automated Highway Driving - From Situation…
Driving simulator experiment / Probandenstudie im Fahrsimulator
If you are interested in experiencing the technology of the future right now, sign up for our experiment! We are going to launch a subject study in a…
Open house
We also participated in the open day of the TU-Dortmund and presented our research work to interested visitors.
RST participated in the AmE conference with several contributions
RST participated in the AmE conference this year with several presentations. "Position and Activity Detection Using Seat Pressure Mat" was one of the…
Poster on "Mid-term status report on KISSaF" to be presented at AmE 2022.
AmE (Automotive meets Electronics) 2022 will be held at the Westfalenhallen in Dortmund, Germany, from September 29-30, 2022. At the conference, the…
Successful 17th DortmunderAutoTag in presence
After the successful 17th DortmunderAutoTag, which could again take place in presence, we would like to thank all speakers, exhibitors and…
RST attended the IHIET Conference 2022
This year, RST attended the IHIET Conference 2022 and reported on the latest achievements in Driver Activity Recognition using pressure sensor…
First measurement ride as part of the DEmandäR project
On a rainy Friday, we started the first measurement ride with our research vehicle at our partner Stadwerke Menden as part of the publicly funded…
collaboration between humans and robots
Thanks to funding from the German Research Foundation, we are continuing to investigate collaboration between humans and robots. The focus here is on…
Occlusion resolving with GANs
We made progress in spatio-temporal reasoning for occlusion resolving with Generative Adversarial Networks, a powerful generative Deep Learning model.
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Interim presentation on the KISSaF project at TU-Dortmund
On June 09, 2022, in the Rudolf Chaudoire Pavilion of the TU Dortmund University, the midterm presentation of the project KISSaF - AI-based Situation…
Congratulations to Mr Lienke
We congratulate Mr Christian Lienke on his successfully completed doctorate "Trajectory Planning for Automated Driving in Dynamic Environments"
Research vehicle upgraded with four HELLA prototype radar sensors
We recently upgraded the sensor technology of our research vehicle with four HELLA prototype radar sensors, which are installed behind the vehicle's…
Conference Automated Driving 2022
The conference Automated Driving 2022 took place the week before last.
The RST was represented with a contribution on the interpretable approximation…
Call for Paper for the 17th DortmunderAutoTag
On 08 September 2022, the successful series of events of the DortmunderAutoTag will be continued.
This specialist conference, which is already taking…
Registrieren Sie sich jetzt für die Fachtagung VDI Mechatronik 2022
Registrieren Sie sich jetzt für die spannende Fachtagung VDI Mechatronik 2022 . Das interessante und abwechslungsreiche Programm der Fachtagung VDI…
New real-time kinematic differential global navigation satellite system
We recently upgraded our test vehicle with a new real-time kinematic differential global navigation satellite system (RTK-DGNSS).
The GeneSys ADMA-G…
Informationsvideo zum internationalen Studiengang Automatition & Robotics
Das Informationsvideo zum internationalen Studiengang Automatition & Robotics entstand unter Mitwirkung des Lehrstuhls RST.
Best Paper Award at NeurIPS Workshop
Our contribution "UMBRELLA: Uncertainty-Aware Model-Based Offline Reinforcement Learning Leveraging Planning" achieved the best paper award at the…
Projektwebseite zum Forschungsprojekt KISSaF ist online
Beim automatisierten Fahren des SAE-Levels 3 muss die sichere Fahrzeugführung bis zur Übernahme der Fahraufgabe durch den Fahrer gewährleistet…