Olivier Gamache — accepted AI-conference papers

2025

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

Jean-Michel Fortin, Olivier Gamache, William Fecteau, Effie Daum, William Larrivée-Hardy, François Pomerleau +1

ICRA 2025

Terrain awareness is an essential milestone to enable truly autonomous off-road navigation. Accurately predicting terrain characteristics allows optimizing a vehicle's path against potential hazards. Recent methods use deep neural networks to predict terrain properties in a self-supervised manner, r

Cited by 6 Source ↗Scholar ↗

2024

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

Olivier Gamache, Jean-Michel Fortin, Matěj Boxan, Maxime Vaidis, François Pomerleau, Philippe Giguère

IROS 2024poster

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 outdoor. While new Automatic-Exposure (AE) approaches to mitigate this have appeared, their comparison in a reproducible m…

Cited by 3 Source ↗code ↗Scholar ↗

2022

Instance Segmentation for Autonomous Log Grasping in Forestry Operations

Jean-Michel Fortin, Olivier Gamache, Vincent Grondin, François Pomerleau, Philippe Giguère

IROS 2022poster

Wood logs picking is a challenging task to automate. Indeed, logs usually come in cluttered configurations, randomly orientated and overlapping. Recent work on log picking automation usually assume that the logs' pose is known, with little consideration given to the actual perception problem. In thi…

Cited by 36 Source ↗code ↗Scholar ↗