27 citations · 47 across the 6 of their papers we have counts for
7 papers
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…
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…
On the Importance of Quantifying Visibility for Autonomous Vehicles under Extreme Precipitation
Clément Courcelle, Dominic Baril, François Pomerleau +1
In the context of autonomous driving, vehicles are inherently bound to encounter more extreme weather during which public safety must be ensured. As climate is quickly changing, th…
Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned
Dominic Baril, Simon-Pierre Deschênes, Olivier Gamache +6
Challenges inherent to autonomous wintertime navigation in forests include lack of reliable a Global Navigation Satellite System (GNSS) signal, low feature contrast, high illuminat…
System for multi-robotic exploration of underground environments CTU-CRAS-NORLAB in the DARPA Subterranean Challenge
Tomáš Rouček, Martin Pecka, Petr Čížek +19
We present a field report of CTU-CRAS-NORLAB team from the Subterranean Challenge (SubT) organised by the Defense Advanced Research Projects Agency (DARPA). The contest seeks to ad…
Lidar Scan Registration Robust to Extreme Motions
Simon-Pierre Deschênes, Dominic Baril, Vladimír Kubelka +2
Registration algorithms, such as Iterative Closest Point (ICP), have proven effective in mobile robot localization algorithms over the last decades. However, they are susceptible t…
Evaluation of Skid-Steering Kinematic Models for Subarctic Environments
Dominic Baril, Vincent Grondin, Simon-Pierre Deschênes +6
In subarctic and arctic areas, large and heavy skid-steered robots are preferred for their robustness and ability to operate on difficult terrain. State estimation, motion control…