Publications

Need for Speed: Fast Correspondence-Free Lidar Odometry Using Doppler Velocity

David Yoon, Keenan Burnett, Johann Laconte, Yi Chen, Heethesh Vhavle, Soeren Kammel, James Reuther, Timothy Barfoot
In Submitted to IROS, 2023

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Extrinsic calibration for highly accurate trajectories reconstruction

Maxime Vaidis, William Dubois, Alexandre Guénette, Johann Laconte, Vladimìr Kubelka, François Pomerleau
In 2023 International Conference on Robotics and Automation (ICRA), 2023

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On the Importance of Quantifying Visibility for Autonomous Vehicles Under Extreme Precipitation

Clément Courcelle, Dominic Baril, François Pomerleau, Johann Laconte
In Towards Human-Vehicle Harmonization, 2023

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A survey of localization methods for autonomous vehicles in highway scenarios

Johann Laconte, Abderrahim Kasmi, Romuald Aufrère, Maxime Vaidis, Roland Chapuis
In Sensors, 2021

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Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned

Dominic Baril, Simon-Pierre Deschênes, Olivier Gamache, Maxime Vaidis, Damien LaRocque, Johann Laconte, Vladimìr Kubelka, Philippe Giguère, François Pomerleau
In arXiv preprint arXiv:2111.13981, 2021

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A novel occupancy mapping framework for risk-aware path planning in unstructured environments

Johann Laconte, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Laurent Malaterre, Christophe Debain, Romuald Aufrère
In Sensors, 2021

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Toward a Generalized Risk Assessment Method on Occupancy Grids

Jérémy Morceaux, Johann Laconte, Elie Randriamiarintsoa, Ted Morell, Laurent Malaterre, Dieumet Denis, Romuald Aufrère, Roland Chapuis
In the proceedings of IROS 2021: Late Breaking Results, 2021

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Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments

Johann Laconte, Elie Randriamiarintsoa, Abderrahim Kasmi, François Pomerleau, Roland Chapuis, Christophe Debain, Romuald Aufrère
In the proceedings of 2021 International Conference on Intelligent Robots and Systems (IROS), 2021

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Geometry preserving sampling method based on spectral decomposition for large-scale environments

Mathieu Labussière, Johann Laconte, François Pomerleau
In Frontiers in Robotics and AI, 2020

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End-to-end probabilistic ego-vehicle localization framework

Abderrahim Kasmi, Johann Laconte, Romuald Aufrère, Dieumet Denis, Roland Chapuis
In IEEE Transactions on Intelligent Vehicles, 2020

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Improving the Iterative Closest Point Algorithm using Lie Algebra

Maxime Vaidis, Johann Laconte, Vladimìr Kubelka, François Pomerleau
In the proceedings of IROS 2020 Workshop: Bringing geometric methods to robot learning, optimization and control, 2020

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An information driven approach for ego-lane detection using Lidar and OpenStreetMap

Abderrahim Kasmi, Johann Laconte, Romuald Aufrère, Ruddy Theodose, Dieumet Denis, Rol Chapuis
In the proceedings of 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2020

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Evaluation of skid-steering kinematic models for subarctic environments

Dominic Baril, Vincent Grondin, Simon-Pierre Deschênes, Johann Laconte, Maxime Vaidis, Vladimìr Kubelka, André Gallant, Philippe Giguere, François Pomerleau
In the proceedings of 2020 17th Conference on Computer and Robot Vision (CRV), 2020

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Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment

Johann Laconte, Christophe Debain, Roland Chapuis, François Pomerleau, Romuald Aufrère
In the proceedings of 2019 International Conference on Intelligent Robots and Systems (IROS), 2019

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Lidar measurement bias estimation via return waveform modelling in a context of 3d mapping

Johann Laconte, Simon-Pierre Deschênes, Mathieu Labussière, François Pomerleau
In the proceedings of 2019 International Conference on Robotics and Automation (ICRA), 2019

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