PhD · Computer Vision
Online LiDAR–camera calibration and uncertainty estimation for autonomous driving.
Research engineer with a PhD in computer vision. I work on LiDAR–camera calibration, uncertainty estimation, and online sensor fusion for autonomous driving.
Before Konboi I built perception systems at Motional and Toyota Motor Europe. My PhD at Heudiasyc (UTC/CNRS) led to three conference papers and an international patent on camera–LiDAR calibration.
I am a Perception Research Engineer at Konboi in Paris, on autonomous trucks and AI retrofit kits for freight.
Extrinsics drift with vibration, temperature, and mounting flex. My methods estimate 6-DoF transforms online from ordinary driving data—no calibration targets—and report when those estimates are unreliable. The work covers camera–LiDAR and LiDAR–event pairs on KITTI, DSEC, and nuScenes (PseudoCal, UniCal, MULi-Ev, WACV 2025).
Online extrinsic calibration — camera–LiDAR, LiDAR–event, and uncertainty-aware methods on KITTI, DSEC, and nuScenes.

Conformal prediction intervals for online extrinsic calibration on KITTI and DSEC.

Online deep learning calibration of LiDAR with event cameras.

Single-branch transformer with early camera–LiDAR fusion; transfer learning for calibration validation. Patent WO2024182787.

Deep learning camera–LiDAR self-calibration without manual initialisation, via pseudo-LiDAR in 3D.

UTC / Heudiasyc, 2025. Online multi-sensor calibration for autonomous driving.
Recognised for review contributions to the conference.
Perception Research Engineer — autonomous trucks and AI retrofit for freight.
Defended Deep Learning for Multi-Sensor Calibration in Autonomous Driving at UTC.