activity
20232026
most citedSaturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

One year in a forest: Analyzing the challenges of autonomous navigation in subarctic environments

Matěj Boxan, Nicolas Lauzon, Veronica Vannini +2

Subarctic regions have the potential to see increased deployment of autonomous robots in applications including forestry, mining, and environmental monitoring. In these conditions,…

cs.CV2026

Leveraging Image Generators to Address Data Scarcity: The Gen4Regen Dataset for Forest Regeneration Mapping

Gabriel Jeanson, David-Alexandre Duclos, William Larrivée-Hardy +5

Sustainable forest management relies on precise species composition mapping, yet traditional ground surveys are labour-intensive and geographically constrained. While Uncrewed Aeri…

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.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…