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20182026
most citedLidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping

44 citations · 98 across the 20 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

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★ 2 cited

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

Elie Randriamiarintsoa, Johann Laconte, Benoit Thuilot +1

Autonomous navigation in unknown 3D environments is a key issue for intelligent transportation, while still being an open problem. Conventionally, navigation risk has been focused…

cs.RO2023★ 1 cited

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

Daniil Lisus, Johann Laconte, Keenan Burnett +2

This paper presents a novel deep-learning-based approach to improve localizing radar measurements against lidar maps. This radar-lidar localization leverages the benefits of both s…

cs.RO2023★ 4 cited

Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions

Johann Laconte, Daniil Lisus, Timothy D. Barfoot

In this paper, we propose a way to model the resilience of the Iterative Closest Point (ICP) algorithm in the presence of corrupted measurements. In the context of autonomous vehic…

cs.RO2023

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

David J. Yoon, Keenan Burnett, Johann Laconte +5

In this paper, we present a fast, lightweight odometry method that uses the Doppler velocity measurements from a Frequency-Modulated Continuous-Wave (FMCW) lidar without data assoc…