One-shot LiDAR localization refers to the ability to estimate the robot ...
Path planning for multiple tethered robots is a challenging problem due ...
Robust point cloud parsing under all-weather conditions is crucial to le...
In this paper, we propose a scribble-based video colorization network wi...
Contrastive learning has recently demonstrated great potential for
unsup...
We present the dynamic model and control of DoubleBee, a novel hybrid
ae...
Automatic crack detection and segmentation play a significant role in th...
We have proposed, to the best of our knowledge, the first-of-its-kind
Li...
The vision of unmanned aerial vehicles is very significant for UAV-relat...
The LiDAR and inertial sensors based localization and mapping are of gre...
In this work, we propose a lightweight integrated LiDAR-Inertial SLAM sy...
The current LiDAR SLAM (Simultaneous Localization and Mapping) system su...
To overcome the data-hungry challenge, we have proposed a semi-supervise...
This work presents FG-Net, a general deep learning framework for large-s...