Quadrupedal robots have emerged as a cutting-edge platform for assisting...
In recent years, the demand for mapping construction sites or buildings ...
Localization has been a challenging task for autonomous navigation. A lo...
Radar sensors are emerging as solutions for perceiving surroundings and
...
Quadrupedal robots resemble the physical ability of legged animals to wa...
In robotics and computer vision communities, extensive studies have been...
Robotics has been widely applied in smart construction for generating th...
Visual inertial odometry and SLAM algorithms are widely used in various
...
In the field of 3D perception using 3D LiDAR sensors, ground segmentatio...
Contrary to other standard cameras, event cameras interpret the world in...
Studies that broaden drone applications into complex tasks require a sta...
Perception of traversable regions and objects of interest from a 3D poin...
Numerous researchers have conducted studies to achieve fast and robust
g...
Feature-based visual simultaneous localization and mapping (SLAM) method...
In this paper, we present a dataset capturing diverse visual data format...
Global registration using 3D point clouds is a crucial technology for mo...
We propose a novel state estimator for legged robots, STEP, achieved thr...
Deep neural networks (DNNs) are vulnerable to adversarial examples that ...
In feature-based simultaneous localization and mapping (SLAM), line feat...
We propose a bidirectional consecutively connected two-pathway network (...
In this paper, WALK-VIO, a novel visual-inertial odometry (VIO) with
wal...
For many years, there has been an impressive progress on visual odometry...
Multirotors can be effectively applied to various tasks, such as
transpo...
Ground segmentation is crucial for terrestrial mobile platforms to perfo...
Recently, needs for unmanned aerial vehicles (UAVs) that are attachable ...
Exploring an unknown environment without colliding with obstacles is one...
Training a Convolutional Neural Network (CNN) to be robust against rotat...
Scan data of urban environments often include representations of dynamic...
This paper presents benchmark tests of various visual(-inertial) odometr...
In this paper, a degeneracy avoidance method for a point and line based
...
The amount of texture can be rich or deficient depending on the objects ...
Unmanned Aerial Vehicles have received much attention in recent years du...
In this study, a deep-learning-based multi-stage network architecture ca...
Interests in exploration of new energy resources are increasing due to t...
Localization is one of the most important technologies needed to use Unm...