We use angular clustering of luminous red galaxies from the Dark Energy
...
In most urban and suburban areas, pole-like structures such as tree trun...
Affected by the massive amount of parameters, ViT usually suffers from
s...
Range-view based LiDAR segmentation methods are attractive for practical...
Moving object segmentation (MOS) is a task to distinguish moving objects...
Cross-spectrum depth estimation aims to provide a depth map in all
illum...
The existing volumetric gain for robotic exploration is calculated in th...
In this paper, we propose an efficient frontier detector method based on...
In this work, we propose the LiDAR Road-Atlas, a compactable and efficie...
Place recognition or loop closure detection is one of the core component...
In this paper, we propose a learning-based moving-object tracking method...
Existing imitation learning methods suffer from low efficiency and
gener...
Smartphones, tablets and camera systems used, e.g., in cars and UAVs, ar...
We propose an integrated approach to active exploration by exploiting th...
In this paper, we propose a cascaded non-local neural network for point ...
In this paper, a global descriptor for a LiDAR point cloud, called LiDAR...