6 citations · 13 across the 3 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CV2023
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…
cs.CV2023★ 1 cited
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…