Pierre Guilbert is a Senior Computer Vision Engineer based in Lausanne with nine years of industry experience applying geometry, nonlinear optimization and advanced mathematics to real-world vision problems. He leads R&D at Genius Sports on camera modeling, pose estimation, physical simulation and 3D reconstruction to improve how sports are observed and analyzed. Previously at Kitware he was the main developer on VeloView and designed a state-of-the-art LiDAR SLAM solution, contributing practical open-source tools for live 3D LiDAR visualization and processing. His background blends rigorous academic training in applied mathematics and numerical analysis with hands-on systems and back-end engineering, including GPS/NMEA handling and keypoint extraction refinements. Colleagues know him for turning mathematical models into robust production features that bridge research and product impact.
9 years of coding experience
5 years of employment as a software developer
Classes préparatoires aux grandes écoles MPSI - MP*, Fundamentals mathematics, A, Classes préparatoires aux grandes écoles MPSI - MP*, Fundamentals mathematics, A at Université Grenoble Alpes
Graduate Studies, Applied Mathematics, Graduate Studies, Applied Mathematics at École des Mines de Saint-Étienne
Master of Science (M.Sc.), Mathematics and Computer Science, Master of Science (M.Sc.), Mathematics and Computer Science at Université Claude Bernard Lyon 1
VeloView performs real-time visualization and easy processing of live captured 3D LiDAR data from Velodyne sensors (Alpha Prime™, Puck™, Ultra Puck™, Puck Hi-Res™, Alpha Puck™, Puck LITE™, HDL-32, HDL-64E). Runs on Windows, Linux and MacOS. This repository is a mirror of https://gitlab.kitware.com/LidarView/VeloView-Velodyne.
Role in this project:
Back-end Developer
Contributions:354 commits, 2 PRs, 2 pushes in 3 years
Contributions summary:Pierre's commits primarily focus on bug fixes and enhancements related to handling different GPS data formats and improving the VeloView software. They addressed issues with the NMEA RMC GPS message format, incorporating support for pre-2.3 versions, and added functionality for custom port configuration and network configuration. The user also made code optimizations and improvements, including a refactoring of the keypoint extraction methods.
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