Computer Vision Expert & Cofounder at Perception4D
Lyon, Auvergne-Rhône-Alpes, France
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Summary
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Senior
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Top School
Bastien Jacquet is a computer vision expert and cofounder with 11 years of experience building real-time 2D/3D perception systems, especially for LiDAR, stereo, SLAM and dynamic 3D+time capture. Based in Lyon, he combines deep academic grounding (ENS, École des Ponts, ETH Zürich) with hands-on engineering, having led Kitware Europe’s vision group and shipped production-grade C++/ROS tooling for LiDAR visualization and SLAM. He now unlocks customers’ R&D at Perception4D, focusing on capture, analysis and visualization pipelines that bridge research and deployable products. An active open-source contributor, his work spans VeloView and ParaView enhancements and unexpected cross-domain improvements like UI/UX fixes in Gramps, showing a willingness to tackle both core algorithms and usability. Comfortable moving between strategy, team leadership and low-level sensor calibration, he’s as likely to tune pcap processing or calibration parameters as to design go-to-market vision for new markets.
11 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.), Mathematics , Computer Vision , Machine Learning, Master of Science (M.Sc.), Mathematics , Computer Vision , Machine Learning at Ecole normale supérieure
Master's degree in Engineering, Traitement du signal, Master's degree in Engineering, Traitement du signal at École des Ponts ParisTech
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at ETH Zürich
Master's degree in Engineering, Mathematics, Computer Vision, Master's degree in Engineering, Mathematics, Computer Vision at Ecole polytechnique
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:380 commits, 4 PRs, 9 pushes in 3 years 11 months
Contributions summary:Bastien primarily focused on modifying the VeloView application's core functionality for handling data from Velodyne LiDAR sensors. Their work involved adjusting file paths, updating sensor calibration parameters, and implementing enhancements for processing pcap files captured from loopback devices. They improved the system for processing and visualizing the data stream. The changes encompassed modifications to both the C++ codebase and the configuration files for the application.
Contributions:26 commits, 3 comments in 2 years 2 months
Contributions summary:Bastien contributed to the Gramps genealogical program by implementing new features and fixing bugs related to user interface elements. They focused on improving drag-and-drop functionality within the application, specifically for person, family, and object references in various editors and views. The commits show they enhanced the user experience by adding support for dragging objects from different areas, like EditPerson and RelationshipView, and prefilling PersonRef when dropping a Person on Association EmbeddedTab.
pythongnomegrampsgtk4genealogy
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