17 citations · 23 across the 10 of their papers we have counts for
9 papers · 1 filter
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,…
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…
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…
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…
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…
Proprioception Is All You Need: Terrain Classification for Boreal Forests
Damien LaRocque, William Guimont-Martin, David-Alexandre Duclos +2
Recent works in field robotics highlighted the importance of resiliency against different types of terrains. Boreal forests, in particular, are home to many mobility-impeding terra…
On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation
Clément Courcelle, Dominic Baril, François Pomerleau +1
In the context of autonomous driving, vehicles are inherently bound to encounter more extreme weather during which public safety must be ensured. As climate is quickly changing, th…
Improving the Iterative Closest Point Algorithm using Lie Algebra
Maxime Vaidis, Johann Laconte, Vladimír Kubelka +1
Mapping algorithms that rely on registering point clouds inevitably suffer from local drift, both in localization and in the built map. Applications that require accurate maps, suc…
Driving Datasets Literature Review
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. The first section introduces the many sensor types used in autonomous dri…