no code implementations • 2 Oct 2018 • David Landry, François Pomerleau, Philippe Giguère
The fusion of Iterative Closest Point (ICP) reg- istrations in existing state estimation frameworks relies on an accurate estimation of their uncertainty.
Robotics
no code implementations • 2 Oct 2018 • Philippe Babin, Philippe Giguère, François Pomerleau
However, without a large scale comparison of solutions to filter outliers, it is becoming tedious to select an appropriate algorithm for a given application.
Robotics
no code implementations • 26 Oct 2019 • Charles-Éric Noël Laflamme, François Pomerleau, Philippe Giguère
This report is a survey of the different autonomous driving datasets which have been published up to date.
no code implementations • 21 Oct 2020 • Maxime Vaidis, Johann Laconte, Vladimír Kubelka, François Pomerleau
Applications that require accurate maps, such as environmental monitoring, benefit from additional sensor modalities that reduce such drift.
Robotics
no code implementations • 8 Mar 2021 • Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Christophe Debain, Romuald Aufrère
While navigating in complex urban environments, the Bayesian occupancy grid is one of the most popular types of maps, where the information of occupancy is stored as the probability of collision.
Autonomous Vehicles Robotics 68T40
1 code implementation • 3 Mar 2022 • Jean-Michel Fortin, Olivier Gamache, Vincent Grondin, François Pomerleau, Philippe Giguère
Using our dataset, we then compare three neural network architectures on the task of individual logs detection and segmentation; two region-based methods and one attention-based method.
1 code implementation • 8 Oct 2022 • Vincent Grondin, François Pomerleau, Philippe Giguère
In this work, we propose to use simulated forest environments to automatically generate 43 k realistic synthetic images with pixel-level annotations, and use it to train deep learning algorithms for tree detection.
1 code implementation • 31 Oct 2022 • Vincent Grondin, Jean-Michel Fortin, François Pomerleau, Philippe Giguère
Tree perception is an essential building block toward autonomous forestry operations.
1 code implementation • 4 Jul 2023 • William Guimont-Martin, Jean-Michel Fortin, François Pomerleau, Philippe Giguère
Recent works in object detection in LiDAR point clouds mostly focus on predicting bounding boxes around objects.
1 code implementation • 25 Mar 2024 • Damien LaRocque, William Guimont-Martin, David-Alexandre Duclos, Philippe Giguère, François Pomerleau
We show that the combination of two TC datasets yields a latent space that can be interpreted with the properties of the terrains.
Ranked #1 on Time Series Classification on BorealTC (Accuracy (5-fold) metric)