SYNTHESES
Synthetic Dataset Generation To Enhance Autonomous Systems using Smart ITS Data
Project description
The SYNTHESES project aims to enhance the testing and validation of autonomous systems by generating large-scale synthetic datasets. It addresses the challenge of capturing rare edge-case scenarios that are critical for ensuring safety and reliability, particularly in complex urban environments. The project will develop automated tools to simulate diverse, hard-to-replicate real-world conditions. Its main goal is to create a scalable framework for generating edge scenarios and datasets to validate systems across multiple operational design domains. The project focuses on automotive use cases, supporting faster and more robust deployment of autonomous mobility technologies.
Belgium
Portugal
Republic of Korea
Ajou University
Republic of Korea
ETRI (Electronics and Telecommunications Research Institute)
Republic of Korea
MORAI inc.
Republic of Korea
The Netherlands
Avular Innovations B.V.
The Netherlands
Delft University of Technology
The Netherlands
Eindhoven University of Technology
The Netherlands
NXP Semiconductors Netherlands B.V.
The Netherlands
Perciv AI
The Netherlands