57 citations · 58 across the 4 of their papers we have counts for
7 papers
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…