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08/02/2023
MDT3D: Multi-Dataset Training for LiDAR 3D Object Detection Generalization
Supervised 3D Object Detection models have been displaying increasingly ...
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07/26/2023
Multi-IMU Proprioceptive State Estimator for Humanoid Robots
Algorithms for state estimation of humanoid robots usually assume that t...
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12/07/2022
Domain generalization of 3D semantic segmentation in autonomous driving
3D autonomous driving semantic segmentation using deep learning has beco...
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03/17/2022
UWED: Unsigned Distance Field for Accurate 3D Scene Representation and Completion
Scene Completion is the task of completing missing geometry from a parti...
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03/17/2022
AdaSplats: Adaptative Splats from Semantic Point Cloud for Fast and High-Fidelity LiDAR Simulation
LiDAR sensors provide rich 3D information about surrounding scenes and a...
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02/14/2022
COLA: COarse LAbel pre-training for 3D semantic segmentation of sparse LiDAR datasets
Transfer learning is a proven technique in 2D computer vision to leverag...
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11/22/2021
Paris-CARLA-3D: A Real and Synthetic Outdoor Point Cloud Dataset for Challenging Tasks in 3D Mapping
Paris-CARLA-3D is a dataset of several dense colored point clouds of out...
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09/30/2021
Riedones3D: a celtic coin dataset for registration and fine-grained clustering
Clustering coins with respect to their die is an important component of ...
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09/27/2021
CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure
Multi-beam LiDAR sensors are increasingly used in robotics, particularly...
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08/17/2021
KITTI-CARLA: a KITTI-like dataset generated by CARLA Simulator
KITTI-CARLA is a dataset built from the CARLA v0.9.10 simulator using a ...
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03/26/2021
3D Point Cloud Registration with Multi-Scale Architecture and Self-supervised Fine-tuning
We present MS-SVConv, a fast multi-scale deep neural network that output...
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03/17/2021
What s in My LiDAR Odometry Toolbox?
With the democratization of 3D LiDAR sensors, precise LiDAR odometries a...
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05/12/2020
Automatic clustering of Celtic coins based on 3D point cloud pattern analysis
The recognition and clustering of coins which have been struck by the sa...
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04/18/2019
KPConv: Flexible and Deformable Convolution for Point Clouds
We present Kernel Point Convolution (KPConv), a new design of point conv...
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12/17/2018
Computational Fluid Dynamics on 3D Point Set Surfaces
Computational fluid dynamics (CFD) in many cases requires designing 3D m...
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08/01/2018
Semantic Classification of 3D Point Clouds with Multiscale Spherical Neighborhoods
This paper introduces a new definition of multiscale neighborhoods in 3D...
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04/10/2018
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
In this article we describe a new convolutional neural network (CNN) to ...
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02/23/2018
IMLS-SLAM: scan-to-model matching based on 3D data
The Simultaneous Localization And Mapping (SLAM) problem has been well s...
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11/30/2017
Paris-Lille-3D: a large and high-quality ground truth urban point cloud dataset for automatic segmentation and classification
This paper introduces a new Urban Point Cloud Dataset for Automatic Segm...
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12/03/2014