Loop closing and relocalization are crucial techniques to establish reli...
The autonomous control of flippers plays an important role in enhancing ...
Point cloud registration is an important task in robotics and autonomous...
Fast and accurate path planning is important for ground robots to achiev...
Open-world Instance Segmentation (OIS) is a challenging task that aims t...
Identifying moving objects is a crucial capability for autonomous naviga...
In the past decade, convolutional neural networks (CNNs) have shown
prom...
High-definition (HD) semantic map generation of the environment is an
es...
To achieve promising results on removing noise from real-world images, m...
Convolutional neural networks based single-image super-resolution (SISR)...
Real-time semantic segmentation, which can be visually understood as the...
With the growing importance of preventing the COVID-19 virus, face image...
Recently, the single image super-resolution (SISR) approaches with deep ...
The normal distributions transform (NDT) is an effective paradigm for th...
It is still an open and challenging problem for mobile robots navigating...
With the rapid advancement of image captioning and visual question answe...
Recently, label distribution learning (LDL) has drawn much attention in
...
Exploring contextual information in convolution neural networks (CNNs) h...
With the increasing number of online stores, there is a pressing need fo...
The scientific and technological revolution of the Internet of Things ha...
Circumnavigation control is useful in real-world applications such as
en...
Mapping in the GPS-denied environment is an important and challenging ta...
Artificial intelligence (AI) is an important technology that supports da...
For the registration of partially overlapping point clouds, this paper
p...
Image contrast enhancement for outdoor vision is important for smart car...