Graduation Project - Enhancing radar data labelling with advanced AI and cross-modal techniques

<p><span><span>The Automotive System Innovations team is part of the Chief Technology Office (CTO) department of NXP Semiconductors. We drive innovation on system level for the automotive businesses in applications like highly automated and safe driving, audio, radar systems, in-vehicle networking, artificial intelligence, battery management systems, as well as mobile robotics. We foresee that artificial intelligence through embedded neural networks will often provide a significant part of the ‘smartness’ in the products for these markets.</span></span></p><p></p><p><span><span>In this Graduation Project assignment, the </span></span>aims to explore ways to automate the labeling of radar data by leveraging advancements in AI and cross-modal learning. The focus will be on the utilization of recent developments, including large language models and multimodal AI foundation models, to enhance the labeling process. The goal is to develop a solution that reduces the manual effort involved while maintaining high-quality and reliable data annotations.</p><p></p><p><a href="https://www.nxp.com/company/about-nxp/worldwide-locations/netherlands:NETHERLANDS" rel="noopener noreferrer" target="_blank">More information about NXP in the Netherlands...</a></p><p></p>#LI-0d06