activity
20232026
most citedProprioception Is All You Need: Terrain Classification for Boreal Forests

5 citations · 11 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2026

Stretch-ICP: A Continuous-Trajectory Registration and Deskewing Algorithm in Scenarios of Aggressive Motions

Simon-Pierre Deschênes, Veronica Vannini, Philippe Giguère +1

Robust robotic autonomy remains challenging in complex environments, where loss of stability on uneven or slippery terrain can induce extreme accelerations and angular velocities.…

cs.RO2025★ 1 cited

Reproducible Evaluation of Camera Auto-Exposure Methods in the Field: Platform, Benchmark and Lessons Learned

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

Standard datasets often present limitations, particularly due to the fixed nature of input data sensors, which makes it difficult to compare methods that actively adjust sensor par…

cs.RO2024

UAV-Assisted Self-Supervised Terrain Awareness for Off-Road Navigation

Jean-Michel Fortin, Olivier Gamache, William Fecteau +4

Terrain awareness is an essential milestone to enable truly autonomous off-road navigation. Accurately predicting terrain characteristics allows optimizing a vehicle's path against…

cs.CV2024

BoQ: A Place is Worth a Bag of Learnable Queries

Amar Ali-Bey, Brahim Chaib-draa, Philippe Giguère

In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge. In this…

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★ 5 cited

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…

cs.RO2023★ 5 cited

Saturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions

Simon-Pierre Deschênes, Dominic Baril, Matěj Boxan +3

We propose a novel angular velocity estimation method to increase the robustness of Simultaneous Localization And Mapping (SLAM) algorithms against gyroscope saturations induced by…

cs.RO2023

Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms

Olivier Gamache, Jean-Michel Fortin, Matěj Boxan +3

Visual Odometry (VO) is one of the fundamental tasks in computer vision for robotics. However, its performance is deeply affected by High Dynamic Range (HDR) scenes, omnipresent ou…

cs.RO2023

RTS-GT: Robotic Total Stations Ground Truthing dataset

Maxime Vaidis, Mohsen Hassanzadeh Shahraji, Effie Daum +3

Numerous datasets and benchmarks exist to assess and compare Simultaneous Localization and Mapping (SLAM) algorithms. Nevertheless, their precision must follow the rate at which SL…

cs.RO2023

DRIVE: Data-driven Robot Input Vector Exploration

Dominic Baril, Simon-Pierre Deschênes, Luc Coupal +4

An accurate motion model is a fundamental component of most autonomous navigation systems. While much work has been done on improving model formulation, no standard protocol exists…