RepliCar Project on Sensor Validation for Automated Driving

This document is a technical report detailing the RepliCar project, which aims to enhance the virtual validation of automated driving vehicles through high-precision sensor validation. The project focuses on integrating sensory ground truth data into simulative validation processes, utilizing ASAM standards for data artifacts and interfaces. It outlines the challenges of accurately perceiving the environment and localizing the ego vehicle, emphasizing the need for high-resolution data acquisition and processing. The report describes the development of a reference system that incorporates advanced sensors such as radar, camera, lidar, GNSS, and inertial sensors, which will be installed in a testing vehicle. The document also discusses the collaborative efforts of various partners and the establishment of a GAIA-X-based data space for secure information exchange. Additionally, it presents the challenges of ensuring interoperability across toolchains and highlights the project's potential to improve the validation toolchain and homologation processes in automotive electronics engineering.