Mariia Gladkova

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About

Mariia Gladkova is a researcher specializing in 3D perception and place recognition for autonomous systems, with a particular focus on LiDAR-based localization techniques for robotics and self-driving vehicles. Her most notable contribution is **CASSPR (Cross Attention Single Scan Place Recognition)**, a method that addresses one of the field's persistent challenges: achieving high-quality place recognition from individual LiDAR scans rather than accumulated submaps. By leveraging cross-attention mechanisms, CASSPR elegantly bridges the gap between point-based and voxel-based representations, integrating spatial context more effectively than prior approaches while working with the practical constraints of single-scan input. This work has garnered significant traction in the community, accumulating over 73 citations since its publication, reflecting its relevance to real-world autonomous navigation pipelines. Gladkova's research sits at the intersection of deep learning, 3D spatial understanding, and robot autonomy — areas of rapidly growing importance as self-driving technology matures. Her ability to deliver state-of-the-art results under operationally realistic conditions marks her as a promising contributor to the broader autonomous systems research community.