Autonomous navigation of ground robots on uneven terrain is being consid...
Incidence estimation of HIV infection can be performed using recent infe...
Facial sketch synthesis (FSS) aims to generate a vivid sketch portrait f...
Video-based scene graph generation (VidSGG) is an approach that aims to
...
Colorectal cancer is a deadly disease that has become increasingly preva...
Tractography traces the peak directions extracted from fiber orientation...
For letting mobile robots travel flexibly through complicated environmen...
In recent years, there is a noteworthy advancement in autonomous drone
r...
Photoacoustic tomography (PAT) is a newly emerged imaging modality which...
This paper presents a novel solution for UAV control in cooperative
mult...
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO)
fra...
Neural radiance fields (NeRF) based methods have shown amazing performan...
This letter presents a novel and retractable ring-shaped quadrotor calle...
In many clinical settings, an active-controlled trial design (e.g., a
no...
We present a novel framework for exemplar based image translation. Recen...
Operating unmanned aerial vehicles (UAVs) in complex environments that
f...
Optimization-based trajectory generation methods are widely used in
whol...
This paper is dedicated to achieving scalable relative state estimation ...
Roller-Quadrotor is a novel hybrid terrestrial and aerial quadrotor that...
Autonomous UAV path planning for 3D reconstruction has been actively stu...
A crucial assumption underlying the most current theory of machine learn...
Catching high-speed targets in the flight is a complex and typical highl...
With the development of robotics, ground robots are no longer limited to...
Mutual localization plays a crucial role in multi-robot systems. In this...
Weakly-supervised object localization aims to indicate the category as w...
Mutual localization provides a consensus of reference frame as an essent...
Robot swarm is a hot spot in robotic research community. In this paper, ...
Formation flight has a vast potential for aerial robot swarms in various...
Implicit neural representations have shown promising potential for the 3...
We propose a robust framework for the planar pose graph optimization
con...
Loop closure is an important component of Simultaneous Localization and
...
Based on the binary time series data of social infection dynamics, we pr...
As a core part of autonomous driving systems, motion planning has receiv...
Collision evaluation is of vital importance in various applications. How...
Inter-person occlusion and depth ambiguity make estimating the 3D poses ...
Online trajectory planners enable quadrotors to safely and smoothly navi...
COVID-19 vaccines are highly efficacious at preventing symptomatic infec...
Photoacoustic (PA) imaging has been widely applied in both preclinical a...
Free-space-oriented roadmaps typically generate a series of convex geome...
The visible capability is critical in many robot applications, such as
i...
Mutual localization is essential for coordination and cooperation in
mul...
In this work, we propose an interoceptive-only state estimation system f...
In this paper, we will evaluate integrals that define the conditional
ex...
Autonomous aerial swarm remains a grand challenge in robotics. Existing ...
This paper presents a novel trajectory planning method for aerial perchi...
Quadrotors are agile platforms. With human experts, they can perform
ext...
We introduce ApolloRL, an open platform for research in reinforcement
le...
Since the structure of twist drill is complex, it is hard and challengin...
There is a continuously growing demand for emergency department (ED) ser...
In this paper, a novel deep learning framework is proposed for temporal
...