In this work, we study codebook designs for full-dimension multiple-inpu...
Limited computing resources of internet-of-things (IoT) nodes incur
proh...
Despite the remarkable success of deep learning, optimal convolution
ope...
Monocular depth estimation is an especially important task in robotics a...
The image-based lane detection algorithm is one of the key technologies ...
This paper studies multi-agent deep reinforcement learning (MADRL) based...
Recently, researchers have been leveraging LiDAR point cloud for higher
...
Visual odometry is an essential key for a localization module in SLAM
sy...
We study a deep learning (DL) based limited feedback methods for
multi-a...