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Romain LefezRL

Romain Lefez

Perception Engineer - Computer Vision & AI

€700/day
Toulouse, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Romain

Perception engineer for over 8 years, I help robots see and understand their environment using advanced vision algorithms. My expertise covers the entire development cycle, from research and innovation (TRL 0 to 3) to the design of operational prototypes (TRL 4 to 7). My skills are organized around 3 areas:

🔹 Artificial Intelligence – Prototyping of vision and robotic perception algorithms
🔹 Data Engineering – Analysis, processing pipeline, and filtering
🔹 Systems Engineering – Specifications and testing for autonomous vehicles (aero, ground, space)

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Toulouse (up to 50km)

Experience

  • EasyMile
    Senior Perception Research Engineer
    October 2023 - October 2024 (1 year)
    Development of perception solution for autonomous logistic vehicles.
    • Prototyping and development of a harsh weather filter for lidar sensors.
    • Development of full performance test method to assert safety and automatic tuning.
  • Airbus UpNext
    Computer Vision Specialist and Architect of Landing Solution
    March 2021 - September 2023 (2 years and 6 months)
    Demonstrator (Dragonfly) of auto emergency capabilities of an Airbus A350 to return on ground safely after pilot incapacitation. Work mainly on landing part.
    • Technical lead of computer vision areas (sensors, VBN algorithms including calibration measure ment and computation).
    • Architect of final approach solution (CV apps, navigation fusion filter (EKF) + database, guidance laws, IHM).
    • Main integrator of landing solution into the embedded system (bay of several computers set into the flight test aircraft running on a main hand DDS middle ware).
    • Development of auto massive testing tools and performance generation tools to demonstrate landing solution readiness for closing the loop.
  • AIRBUS Defence & Space
    Computer Vision Research Engineer
    March 2018 - March 2021 (3 years)
    Innovation department of vision based navigation field mainly for space prototypes.
    • Development of an online image stabilization algorithm for a long range camera fixed to an (Airbus) helicopter. Prototyping of an unusual but generic intrinsic calibration optimization based on a field of splines.
    • Adaptation of a model based tracking solution on RemoveDebris images captured during its first test in low space orbit.
    • Prototyping and delivering an integrated solution (ROS) to perform global image navigation based on satellite geo-referenced rasters and stream of the camera looking forward in the cockpit of an Airbus flight test aircraft to automate taxi phase (demonstrated in flight). Prototyping a pla nar SLAM (bundle adjustment, levenberg-marquardt) to perform the same objective for taxi and landing phase.
    • Development of an enhanced Mosse tracker giving invariance regarding scale and rotation change. Prototyping a SLAM algorithm (bundle adjustment, levenberg-marquardt) to perform navigation through an auto computed 3D map updated at each flight above the planned path.

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Education

  • ENSTA Paris
    2015

Skill set

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