57 citations · 61 across the 8 of their papers we have counts for
9 papers
TACOS: Terrain-Aware COntact Supervision for Visual Footstep Planning
Jean-Michel Fortin, William Larrivée-Hardy, Gabriel Jeanson +4
Humans navigate their environment based on their vision system, anticipating how the ground will respond before committing to a step. Self-supervised learning could provide legged…
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…
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…
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…
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…
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…
MaskBEV: Joint Object Detection and Footprint Completion for Bird's-eye View 3D Point Clouds
William Guimont-Martin, Jean-Michel Fortin, François Pomerleau +1
Recent works in object detection in LiDAR point clouds mostly focus on predicting bounding boxes around objects. This prediction is commonly achieved using anchor-based or anchor-f…
Tree Detection and Diameter Estimation Based on Deep Learning
Vincent Grondin, Jean-Michel Fortin, François Pomerleau +1
Tree perception is an essential building block toward autonomous forestry operations. Current developments generally consider input data from lidar sensors to solve forest navigati…
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Jean-Michel Fortin, Olivier Gamache, Vincent Grondin +2
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 automati…