Transparent objects are encountered frequently in our daily lives, yet
r...
Due to the robustness in sensing, radar has been highlighted, overcoming...
In recent years, multiple Light Detection and Ranging (LiDAR) systems ha...
We survey the current state of millimeterwave (mmWave) radar application...
The insufficient number of annotated thermal infrared (TIR) image datase...
6D object pose estimation aims to infer the relative pose between the ob...
In this paper, we present a dataset capturing diverse visual data format...
Accurate 3D point cloud map generation is a core task for various robot
...
Place recognition is a key module in robotic navigation. The existing li...
Along with feature points for image matching, line features provide
addi...
Long-term 3D map management is a fundamental capability required by a ro...
This paper presents a novel and flexible multi-task multi-layer Bayesian...
Estimating a dense and accurate depth map is the key requirement for
aut...
In this paper, we introduce a rotational primitive prediction based 6D o...
In this paper, we propose a thermal-infrared simultaneous localization a...
This paper presents a framework for the targetless extrinsic calibration...
Recently, learning-based ego-motion estimation approaches have drawn str...
We proposed an end-to-end deep learning-based simultaneous localization ...
Among underwater perceptual sensors, imaging sonar has been highlighted ...
Cameras are the most widely exploited sensor in both robotics and comput...
This paper presents a Light Detection and Ranging (LiDAR) data set that
...