Generating safe and non-conservative behaviors in dense, dynamic environ...
This study introduces a novel framework, G3Reg, for fast and robust glob...
Predicting the future behavior of agents is a fundamental task in autono...
Global point cloud registration is essential in many robotics tasks like...
In this study, we introduce an online monocular lane mapping approach th...
In this paper, we present a centralized framework for multi-session LiDA...
Predicting future trajectories of surrounding agents is essential for
sa...
Constructing a high-quality dense map in real-time is essential for robo...
Loop detection plays a key role in visual Simultaneous Localization and
...
Model-based methods provide an effective approach to offline reinforceme...
The development of connected autonomous vehicles (CAVs) facilitates the
...
In the practical application of point cloud completion tasks, real data
...
Knowledge about the own pose is key for all mobile robot applications. T...
This paper proposes Contour Context, a simple, effective, and
efficient ...
Autonomous UAV path planning for 3D reconstruction has been actively stu...
Catching high-speed targets in the flight is a complex and typical highl...
Developments in cooperative trajectory planning of connected autonomous
...
Loop closure can effectively correct the accumulated error in robot
loca...
The image-based 3D object detection task expects that the predicted 3D
b...
In recent years, aerial swarm technology has developed rapidly. In order...
Although the use of multiple Unmanned Aerial Vehicles (UAVs) has great
p...
As a core part of autonomous driving systems, motion planning has receiv...
In recent years, mobile robots are becoming ambitious and deployed in
la...
Despite recent progress of robotic exploration, most methods assume that...
Point clouds collected by real-world sensors are always unaligned and sp...
Nowadays, multirotors are playing important roles in abundant types of
m...
For a long time, the point cloud completion task has been regarded as a ...
Among prerequisites for a synthetic agent to interact with dynamic scene...
It is ubiquitously accepted that during the autonomous navigation of the...
Distributed pose graph optimization (DPGO) is one of the fundamental
tec...
Tail-sitter vertical takeoff and landing (VTOL) unmanned aerial vehicles...
Visual-Inertial odometry is known to suffer from drifting especially ove...
The collaboration of unmanned aerial vehicles (UAVs), also known as aeri...
Identifying independently moving objects is an essential task for dynami...
Autonomous exploration is a fundamental problem for various applications...
A robust 3D object tracker which continuously tracks surrounding objects...
Human drone interaction in autonomous navigation incorporates spatial
in...
Event-based cameras are bio-inspired vision sensors whose pixels work
in...
Recent advances in trajectory replanning have enabled quadrotor to navig...
Fast and accurate depth estimation, or stereo matching, is essential in
...
Directly learning multiple 3D objects motion from sequential images is
d...
It is critical to predict the motion of surrounding vehicles for self-dr...
The collaboration of unmanned aerial vehicles (UAVs) has become a popula...
Decision-making in dense traffic scenarios is challenging for automated
...
Gradient-based trajectory optimization (GTO) has gained wide popularity ...
Many approaches have been proposed to estimate camera poses by directly
...
We propose a learning-based method that solves monocular stereo and can ...
We propose a 3D object detection system with multi-sensor refinement in ...
In this paper, we propose a novel dense surfel mapping system that scale...
In this paper, we propose a robust and efficient quadrotor motion planni...