Visual Odometry (VO) plays a pivotal role in autonomous systems, with a
...
Magnetic resonance imaging (MRI) have played a crucial role in brain dis...
LiDAR and Radar are two complementary sensing approaches in that LiDAR
s...
In this paper, we present the USTC FLICAR Dataset, which is dedicated to...
It is important for deep reinforcement learning (DRL) algorithms to tran...
Reliable localization is crucial for autonomous robots to navigate
effic...
Recently, it has become popular to deploy sensors such as LiDARs on the
...
The recent trend for multi-camera 3D object detection is through the uni...
Tensor program tuning is a non-convex objective optimization problem, to...
In this letter, we propose MAROAM, a millimeter wave radar-based SLAM
fr...
Simultaneous localization and mapping (SLAM) based on laser sensors has ...
In this work, we explore neat yet effective Transformer-based frameworks...
It has been well recognized that fusing the complementary information fr...
Deep reinforcement learning (DRL) algorithms have proven effective in ro...
In this paper, we propose a map-based end-to-end DRL approach for
three-...
As an emerging data modal with precise distance sensing, LiDAR point clo...
As cameras are increasingly deployed in new application domains such as
...
In the past few years, we have witnessed rapid development of autonomous...
Recent advances on 3D object detection heavily rely on how the 3D data a...
This paper presents the design, implementation and evaluation of In-N-Ou...
Internet of things (IoT) that integrate a variety of devices into networ...
By using smart radio devices, a jammer can dynamically change its jammin...