In the field of real-time image enhancement, image super-resolution (SR) is an important
research hotspot. As an image super-resolution method, deep learning can extract more …

For more than two decades, the issue of simultaneous localization and mapping (SLAM) has
gained more attention from researchers and remains an influential topic in robotics …

We present HybVIO, a novel hybrid approach for combining filtering-based visual-inertial
odometry (VIO) with optimization-based SLAM. The core of our method is highly robust …

When mobile robots are working in indoor unknown environments, the surrounding scenes
are mainly low texture or repeating texture. This means that image features are easily lost …

Cubature Kalman filter (CKF) is widely used for non-linear state estimation under Gaussian
noise. However, the estimation performance may degrade greatly in presence of heavy …

We introduce visual hints expansion for guiding stereo matching to improve generalization.
Our work is motivated by the robustness of Visual Inertial Odometry (VIO) in computer vision …

Introduction: Event cameras report pixel-wise brightness changes at high temporal
resolutions, allowing for high speed tracking of features in visual inertial odometry (VIO) …

A new cross-modal image matching method is proposed to solve the problem that
unmanned aerial vehicles (UAVs) are difficult to navigate in GPS-free environment and night …

This master thesis describes the design and implementation of a prototype handheld 3D
surface reconstruction system designed to monitor skin diseases. This prototype aims to …