The Nordic Research Group for Engineering Automotive Software.
Our aim is to improve the way how software is made for automotive and embedded applications.
We develop data-driven methods for Continuous Integration (CI), Continuous Deployment (CD), and Continuous Experimentation (CX) to improve the engineering for software solutions, which incorporate cloud-native principles. We collaborate with other research groups and industries to bring ideas and approaches from theory to practice and systematically evaluate our ideas in relevant application contexts.
We are grateful for funding from University of Gothenburg and Chalmers University of Technology, Vinnova, the Wallenberg AI, Autonomous Systems and Software Program (WASP), the Swedish Foundation for Strategic Research, and from European Union’s Horizon 2020.
January 09, 2023
Arranging the tutorial “TEAM - Technology Enablers for Autonomous Maritime Robotics - Digital Twins with Simulations and Cloud-enabled Massive Scale Datasets for Experimentation and Validation” at ICRA’23
December 12, 2022
Participating in the PhD defense for Stanislav Chren from Masaryk University, Czech Republic defending “Multi-layered Reliability Analysis of Smart Grids”
December 06, 2022
Participating in the PhD grading committee for Daniel Åsljung from Chalmers University of Technology, Sweden defending “On Statistical Methods for Safety Validation of Automated Vehicles”
October 12, 2022
Supporting the Wallenberg AI, Autonomous Systems, and Software Program’s Internation Visit to UK, covering King’s College, Cambridge, Oxford, Cranfield, and Imperial College.
October 07, 2022
Covered by WASP’s Meet the Researchers.
October 03, 2022
Interview about our research at University of Gothenburg, Sweden
September 30, 2022
Participating in the PhD grading committee for Julia Orlowska from Chalmers University of Technology, Sweden defending “A data-driven approach for users’ adaptation to smart automated systems”
September 12, 2022
Our paper “Over 60,000 km in a Year-Remotely Collecting Large-Volume High-Quality Data from a Logistics Truck” by Christian Berger, Arpit Karsolia, Federico Giaimo, and Ola Benderius has been accepted at Springer Nature Applied Sciences.
July 28, 2022
Our paper “Formally Robust and Safe Trajectory Synthesis and Tracking for Autonomous Vehicles” by Yushu Yu, Dan Shan, Ola Benderius, Christian Berger, and Yue Kang has been accepted at IEEE Transactions on Intelligent Transportation Systems.