activity
20192026
most citedDriving Datasets Literature Review

17 citations · 23 across the 9 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Radar Odometry Subject to High Tilt Dynamics of Subarctic Environments

Matěj Boxan, William Larrivée-Hardy, François Pomerleau

Rotating FMCW radar odometry methods often assume flat ground conditions. While this assumption is sufficient in many scenarios, including urban environments or flat mining setups,…

cs.RO2026

FoMo: A Multi-Season Dataset for Robot Navigation in Forêt Montmorency

Matěj Boxan, Gabriel Jeanson, Alexander Krawciw +5

The Forêt Montmorency (FoMo) dataset is a comprehensive multi-season data collection, recorded over the span of one year in a boreal forest. Featuring a unique combination of on- a…

cs.CV2025

SilvaScenes: Tree Detection and Species Classification from Under-Canopy Images in Natural Forests

David-Alexandre Duclos, William Guimont-Martin, Gabriel Jeanson +7

Interest in forestry automation is growing alongside rapid advances in deep learning. In particular, tree detection and taxonomic classification are seen as core tasks required for…

cs.RO2025

ASAP-MO:Advanced Situational Awareness and Perception for Mission-critical Operations

Veronica Vannini, William Dubois, Olivier Gamache +5

Deploying robotic missions can be challenging due to the complexity of controlling robots with multiple degrees of freedom, fusing diverse sensory inputs, and managing communicatio…

cs.RO2024

Field Report on a Wearable and Versatile Solution for Field Acquisition and Exploration

Olivier Gamache, Jean-Michel Fortin, Matěj Boxan +2

This report presents a wearable plug-and-play platform for data acquisition in the field. The platform, extending a waterproof Pelican Case into a 20 kg backpack offers 5.5 hours o…

cs.RO2024

Comparing Motion Distortion Between Vehicle Field Deployments

Nicolas Samson, Dominic Baril, Julien Lépine +1

Recent advances in autonomous driving for uncrewed ground vehicles (UGVs) have spurred significant development, particularly in challenging terrains. This paper introduces a classi…