6 citations · 13 across the 4 of their papers we have counts for
4 papers
Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach
Mathieu Cocheteux, Julien Moreau, Franck Davoine
Accurate sensor calibration is crucial for autonomous systems, yet its uncertainty quantification remains underexplored. We present the first approach to integrate uncertainty awar…
MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration
Mathieu Cocheteux, Julien Moreau, Franck Davoine
Despite the increasing interest in enhancing perception systems for autonomous vehicles, the online calibration between event cameras and LiDAR - two sensors pivotal in capturing c…
PseudoCal: Towards Initialisation-Free Deep Learning-Based Camera-LiDAR Self-Calibration
Mathieu Cocheteux, Julien Moreau, Franck Davoine
Camera-LiDAR extrinsic calibration is a critical task for multi-sensor fusion in autonomous systems, such as self-driving vehicles and mobile robots. Traditional techniques often r…
UniCal: a Single-Branch Transformer-Based Model for Camera-to-LiDAR Calibration and Validation
Mathieu Cocheteux, Aaron Low, Marius Bruehlmeier
We introduce a novel architecture, UniCal, for Camera-to-LiDAR (C2L) extrinsic calibration which leverages self-attention mechanisms through a Transformer-based backbone network to…