Semi-Automated Data Annotation in Multisensor Datasets for Autonomous Vehicle Testing

This paper addresses the critical challenge of efficient and accurate data annotation for multisensor datasets, particularly for the rigorous testing of autonomous vehicles. It proposes semi-automated methods to streamline the annotation process, significantly reducing manual effort and improving the scalability of autonomous driving development.