Baptiste Charmette

Centre National de la Recherche Scientifique, Clermont Université

Papers

Total Citations

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About

Baptiste Charmette is a researcher specializing in computer vision and mobile robotics, with a particular focus on robot localization and feature matching techniques. His work centers on solving one of the fundamental challenges in autonomous navigation: enabling robots to accurately determine their position within an environment by recognizing and matching visual landmarks across varying viewpoints. Charmette's most significant contributions lie in the development of efficient planar feature matching algorithms for robot localization and Simultaneous Localization and Mapping (SLAM) systems. His research addresses the computationally demanding nature of feature matching, a critical bottleneck in real-time robotics applications. Notably, his 2010 work explored leveraging GPU acceleration to dramatically speed up the matching of planar image features against landmark maps, making the process more viable for practical deployment. His most cited work, published in 2016, further refined vision-based localization through improved planar feature matching strategies, accumulating 18 citations. With a research trajectory spanning from 2009 to 2016, Charmette has contributed foundational methods to the robotics vision community. His cumulative citation count of 33 across three key publications reflects a focused and technically meaningful body of work that continues to inform researchers working at the intersection of computer vision and autonomous robotic systems.