Mathieu Cocheteux

Mathieu Cocheteux, PhD

Computer Vision Research Engineer

I build reliable perception systems for autonomous driving and robotics, combining rigorous research with practical engineering for real-world deployment.

About Me

I am a research engineer with a PhD in Computer Vision specializing in sensor fusion, deep learning for perception, and online calibration for autonomous driving.

My research focuses on developing robust deep learning methods for multi-sensor perception, with expertise in LiDAR-camera perception and uncertainty estimation. Through my work at Motional and Toyota Motor Europe, I've gained industry experience. During my PhD, I've developed practical solutions that have resulted in publications in top-tier conferences and an international patent.

full curriculum vitae (pdf) →

Research & Publications

My research focuses on robust deep learning methods for multi-sensor perception, with expertise in LiDAR-camera perception and uncertainty estimation. I've developed practical solutions that have resulted in publications in top-tier conferences and an international patent.

WACV 2025
WACV 2025
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach

Novel uncertainty quantification approach for sensor calibration that provides reliability guarantees and improves odometry accuracy.

Workshop
CVPR 2024
CVPR 2024
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration

First method for online calibration of LiDAR with event cameras.

BMVC 2023
Oral
BMVC 2023
PseudoCal: Towards Initialization-Free Camera-LiDAR Calibration

First method for deep learning-based sensor calibration without requiring manual initialization.

Patent
arXiv 2023
arXiv 2023
UniCal: A Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration

Efficient Transformer-based approach for both calibration and validation, leading to an international patent.

PhD Thesis
2025
PhD Thesis 2025
Deep Learning for Multi-Sensor Calibration in Autonomous Driving

Novel deep learning approaches for robust multi-sensor calibration in autonomous driving systems with uncertainty-aware methods.

News

17 Oct 2025
Received "Top Reviewer" Award at NeurIPS 2025

I was awarded the "Top Reviewer" award at NeurIPS 2025 for my reviews of the conference's submissions.

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01 Sep 2025
New Position: Perception Research Engineer

Excited to start a new role as Perception Research Engineer at Konboi, a startup based in Paris, developing the future of freight transportation by working on autonomous trucks and AI retrofit kits for fuel savings.

04 Apr 2025
PhD Defense Completed

Successfully defended my PhD thesis on "Deep Learning for Multi-Sensor Calibration in Autonomous Driving".

View thesis