Maxime Ferrera
Research Scientist In Computer Vision & Robotic Perception at IFREMER
Toulon, Provence-Alpes-Côte d'Azur, France
Summary
👤
Senior🎓
Top SchoolMaxime Ferrera is a research scientist specializing in computer vision and robotic perception with 12 years of experience building real-time visual SLAM, structure-from-motion and 3D reconstruction systems for challenging environments. Based at IFREMER’s Underwater Robotics Lab, he focuses on sensor fusion and navigation for underwater robots, translating research prototypes into robust, real-time pipelines. His background includes a PhD and postdoc at ONERA/LIRMM where he developed monocular camera + MEMS-IMU + pressure sensor localization and dense mapping tailored to archaeological underwater sites. Maxime combines academic rigor with practical engineering—having worked on multimodal thermal-stereo fusion for autonomous platforms and fingerprint/WBF integration during industry internships—illustrating a strong grasp of embedded perception and systems integration. He is based in Toulon and brings a niche expertise in underwater visual relocalization and live mapping that bridges ocean robotics and aerospace-grade perception research.
12 years of coding experience
4 years of employment as a software developer
Intensive preparatory courses in science to apply to a Master degree in Engineering, Intensive preparatory courses in science to apply to a Master degree in Engineering at Polytech'OrléansSan Diego State UniversityMaster of Engineering (MEng), Instrumentation, Control Science and Computer Science, Master of Engineering (MEng), Instrumentation, Control Science and Computer Science at Polytech'Savoie
French, English, German
Github Skills (21)
data-preprocessing10
structure-from-motion10
3d-reconstruction10
cmake9
windows9
visual-studio9
cpp9
linux8
stereo7
surface7
vcpkg7
macos7
point-cloud6
texture6
refinement5
Programming languages (2)
Github contributions (5)
IfremerUnderwater/Matisse
May 2014 - Jan 2023
Matisse is a user friendly software to make structure-from-motion (3D reconstruction from optical images) easily accessible for non expert. Data preprocessing is mainly optimized to work for underwater images but it can also be used any type of optical images.
Contributions:3 releases, 408 commits, 36 pushes in 8 years 9 months
3d-reconstructiondata-preprocessingstructure-from-motion
IfremerUnderwater/3DMetrics
Oct 2017 - Sep 2021
Contributions:2 releases, 182 commits, 4 pushes in 3 years 11 months
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