Supervised 3D Object Detection models have been displaying increasingly
...
Algorithms for state estimation of humanoid robots usually assume that t...
3D autonomous driving semantic segmentation using deep learning has beco...
Scene Completion is the task of completing missing geometry from a parti...
LiDAR sensors provide rich 3D information about surrounding scenes and a...
Transfer learning is a proven technique in 2D computer vision to leverag...
Clustering coins with respect to their die is an important component of
...
Multi-beam LiDAR sensors are increasingly used in robotics, particularly...
We present MS-SVConv, a fast multi-scale deep neural network that output...
With the democratization of 3D LiDAR sensors, precise LiDAR odometries a...
The recognition and clustering of coins which have been struck by the sa...
We present Kernel Point Convolution (KPConv), a new design of point
conv...
Computational fluid dynamics (CFD) in many cases requires designing 3D m...
This paper introduces a new definition of multiscale neighborhoods in 3D...
In this article we describe a new convolutional neural network (CNN) to
...
This paper introduces a new Urban Point Cloud Dataset for Automatic
Segm...
Visibility distance on the road pathway plays a significant role in road...
We present here a real time mobile mapping system mounted on a vehicle. ...
This paper considers the problem of estimating the covariance of
roto-tr...