output
20142026
most citedRTAB-Map as an Open-Source Lidar and Visual SLAM Library for Large-Scale and Long-Term Online Operation

976 citations

Showing 2021Show all

7 papers · 1 filter

physics.app-ph2021

Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review

Yann Beilliard, Fabien Alibart

Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, s…

eess.IV2021★ 1 cited

Neural Network Based Lidar Gesture Recognition for Realtime Robot Teleoperation

Simon Chamorro, Jack Collier, François Grondin

We propose a novel low-complexity lidar gesture recognition system for mobile robot control robust to gesture variation. Our system uses a modular approach, consisting of a pose es…

eess.SP2021★ 16 cited

Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition

Nikhil Garg, Ismael Balafrej, Yann Beilliard +3

Surface electromyogram (sEMG) signals result from muscle movement and hence they are an ideal candidate for benchmarking event-driven sensing and computing. We propose a simple yet…

cs.RO2021★ 29 cited

Multi-Session Visual SLAM for Illumination Invariant Re-Localization in Indoor Environments

Mathieu Labbé, François Michaud

For robots navigating using only a camera, illumination changes in indoor environments can cause re-localization failures during autonomous navigation. In this paper, we present a…

astro-ph.CO2021★ 5 cited

Toward Cosmicflows-4: The \hi data catalog

A. Dupuy, H. M. Courtois, D. Guinet +2

In this study, we present an update of a compilation of line width measurements of neutral atomic hydrogen (HI) galaxy spectra at 21 cm wavelength. Our All Digital HI (ADHI) catalo…

cond-mat.mtrl-sci2021

Dynamic formation of spherical voids crossing linear defects

Youcef A. Bioud, Maxime Rondeau, Abderraouf Boucherif +3

A predictive model for the evolution of porous Ge layer upon thermal treatment is reported. We represent an idealized etched dislocation core as an axially symmetric elongated hole…

cond-mat.mes-hall2021★ 23 cited

Miniaturizing neural networks for charge state autotuning in quantum dots

Stefanie Czischek, Victor Yon, Marc-Antoine Genest +8

A key challenge in scaling quantum computers is the calibration and control of multiple qubits. In solid-state quantum dots, the gate voltages required to stabilize quantized charg…