Johann Laconte | DeepAI

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∙ 09/15/2023

Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights

This paper presents a novel deep-learning-based approach to improve loca...

0 Daniil Lisus, et al. ∙

∙ 09/08/2023

Toward Certifying Maps for Safe Localization Under Adversarial Corruption

In this paper, we propose a way to model the resilience of the Iterative...

0 Johann Laconte, et al. ∙

∙ 09/06/2023

Risk-Aware Navigation for Mobile Robots in Unknown 3D Environments

Autonomous navigation in unknown 3D environments is a key issue for inte...

0 Elie Randriamiarintsoa, et al. ∙

∙ 03/11/2023

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

In this paper, we present a fast, lightweight odometry method that uses ...

0 David J. Yoon, et al. ∙

∙ 10/03/2022

Extrinsic calibration for highly accurate trajectories reconstruction

In the context of robotics, accurate ground-truth positioning is the cor...

0 Maxime Vaidis, et al. ∙

∙ 09/07/2022

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

In the context of autonomous driving, vehicles are inherently bound to e...

0 Clément Courcelle, et al. ∙

∙ 11/27/2021

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

Challenges inherent to autonomous wintertime navigation in forests inclu...

0 Dominic Baril, et al. ∙

∙ 03/08/2021

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

In the context of autonomous vehicles, one of the most crucial tasks is ...

0 Johann Laconte, et al. ∙

∙ 11/16/2020

Lambda-Field: A Continuous Counterpart Of The Bayesian Occupancy Grid For Risk Assessment And Safe Navigation

In the context of autonomous robots, one of the most important tasks is ...

0 Johann Laconte, et al. ∙

∙ 10/21/2020

Improving the Iterative Closest Point Algorithm using Lie Algebra

Mapping algorithms that rely on registering point clouds inevitably suff...

0 Maxime Vaidis, et al. ∙

∙ 04/10/2020

Evaluation of Skid-Steering Kinematic Models for Subarctic Environments

In subarctic and arctic areas, large and heavy skid-steered robots are p...

0 Dominic Baril, et al. ∙

∙ 03/06/2019

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

In a context of autonomous robots, one of the most important task is to ...

0 Johann Laconte, et al. ∙

∙ 10/03/2018

Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration

In the context of 3D mapping, larger and larger point clouds are acquire...

0 Mathieu Labussiere, et al. ∙

∙ 10/03/2018

Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping

In a context of 3D mapping, it is very important to get accurate measure...

0 Johann Laconte, et al. ∙

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