Welcome to NRGEAS
The Nordic Research Group for Engineering Automotive Software.
We are a research team at the Department of Computer Science and Engineering at University of Gothenburg and Chalmers University of Technology in Gothenburg, Sweden.
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 continuously looking for passionate new PostDocs, PhD students, and Bachelor and Master students to join our team (more info)!
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.
News
June 06, 2023
My PhD student Chi Zhang’s manuscript “Spatial-Temporal-Spectral LSTM - A Transferable Model for Pedestrian Trajectory Prediction” has been accepted IEEE Transactions on Intelligent Vehicles.
May 25, 2023
My PhD student Krishna Ronanki’s submission “ChatGPT as a tool for User Story Quality Evaluation - Trustworthy Out of the Box?” to the AI-Assisted Agile Software Development Workshop at XP2023 has been accepted.
May 25, 2023
My PostDoc Beatriz Cabrero-Daniel’s submission “AI-assisted Agile software development - a Meta-Analysis” to the AI-Assisted Agile Software Development Workshop at XP2023 has been accepted.
May 23, 2023
My PhD student Jens Henriksson’s submission “Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets” to the IEEE AITest Conference 2023 has been accepted.
May 04, 2023
My PhD student Chi Zhang’s manuscript “Pedestrian Behavior Prediction Using Deep Learning Methods for Urban Scenarios - A Review” has been accepted IEEE Transactions on Intelligent Transportation Systems.
March 30, 2023
My PhD student Chi Zhang’s submission “Cross or Wait? Predicting Pedestrian Interaction Outcomes at Unsignalized Crossings” to the IV’23 has been accepted.
March 30, 2023
Our submission “ZEBRA - Z-Order Curve-Based Event Retrieval Approach to Efficiently Explore Automotive Data” to the IV’23 has been accepted.
February 28, 2023
My PhD student Krishna Ronanki’s submission “Towards an AI-centric Requirement Engineering Framework for Trustworthy AI” to the ICSE’23 Doctoral Symposium has been accepted.
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.