A Visual Simultaneous Localization and Mapping (VSLAM) method is proposed to construct
a 3D environment map in the creation of dynamic noise information which leads to …

Mobile Mapping Technology (MMT) has evolved rapidly over the past few decades,
especially in using low-cost sensors. This progress is primarily attributed to the appearance …

Autonomous mobile robots (AMRs) have been a rapidly expanding research topic for the
past decade. Unlike their counterpart, the automated guided vehicle (AGV), AMRs can make …

In autonomous driving, estimating the position of an ego-vehicle and the distance between
the vehicle and detected obstacles are very important. Visual-based methods have been …

Forests, as critical components of our ecosystem, demand effective monitoring and
management. However, conducting real-time forest inventory in large-scale and GNSS …

This work proposes an innovative approach to enhance the localization of unmanned aerial
vehicles (UAVs) in dynamic environments. The methodology integrates a sophisticated …

In this study, a set of benchmarks for object tracking with motion parameters (OTMP) was first
designed. The sample images were matched with the spatial depth of the camera, the pose …

In dynamic environments, achieving accurate and robust Visual SLAM (Simultaneous
Localization and Mapping) remains a significant challenge, particularly for applications in …

This paper presents an approach to the estimation of a window shape for increasing the
adaptability of glass façade-cleaning robots to different buildings. For this approach, a …

For any robot to navigate on its own, it is important to create a map of its surroundings and
localise itself to detect the obstacles. The present paper focuses on building a universal …