Luis Roldão — accepted AI-conference papers

2024

3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration

Quentin Herau, Moussab Bennehar, Arthur Moreau, Nathan Piasco, Luis Roldão, Dzmitry Tsishkou +3

IROS 2024poster

Reliable multimodal sensor fusion algorithms require accurate spatiotemporal calibration. Recently, targetless calibration techniques based on implicit neural representations have proven to provide precise and robust results. Nevertheless, such methods are inherently slow to train given the high com…

Cited by 6 Source ↗Scholar ↗

2023

MOISST: Multimodal Optimization of Implicit Scene for SpatioTemporal Calibration

Quentin Herau, Nathan Piasco, Moussab Bennehar, Luis Roldão, Dzmitry Tsishkou, Cyrille Migniot +2

IROS 2023poster

With the recent advances in autonomous driving and the decreasing cost of LiDARs, the use of multimodal sensor systems is on the rise. However, in order to make use of the information provided by a variety of complimentary sensors, it is necessary to accurately calibrate them. We take advantage of r…

Cited by 15 Source ↗Scholar ↗