An integrated optomechanical analysis (IOA) can predict the response of an optomechanical
system to temperature, gravity, vibrations, and other local loadings; thus, the normal …

The utilization of cloud infrastructure and its extensive range of Internet-accessible
resources holds significant potential for advancing intelligent transportation and robotics …

In recent years, significant progress has been made in learning-based VSLAM (Visual
Simultaneous Localization and Mapping). Cloud-based VSLAM is a promising solution for …

Biped climbing robots have the character of multi-source asynchronous sensing, and they
are powerful to replace humans to complete high-altitude and high-risk operations. As the …

Deep neural networks have been shown to be effective for unsupervised monocular visual
odometry that can predict the camera's ego-motion based on an input of monocular video …

Simultaneous localization and mapping (SLAM) is a hot research area that is widely
required in many robotics applications. In SLAM technology, it is essential to explore an …

Absolute visual localization methods with visible sensors have been widely used for
Unmanned Aerial Vehicles (UAVs) in GPS-denied environments. However, the visible real …

Applying VSLAM to mobile robots with limited computing power is the key to achieving
autonomous navigation, and the cloud-edge collaborative VSLAM is a solution. However …

As the basics of Visual Simultaneous Localization And Mapping (VSLAM), keyframes play
an essential role. In previous works, keyframes are selected according to a series of view …

In the application of visual navigation, submap-based VSLAM has become one of the most
robust monocular solutions in recent years, which is able to resume tracking by multi …