Small unmanned aerial vehicles (UAVs) have gained significant interest in the last decade.
More specifically these vehicles have the capacity to impact package delivery logistics in a …

Indoor localization (IL) is a significant topic of study with several practical applications,
particularly in the context of the Internet of Things (IoT) and smart cities. The area of IL has …

Long-term camera re-localization is an important task with numerous computer vision and
robotics applications. Whilst various outdoor benchmarks exist that target lighting, weather …

We present a simple yet effective method to address loop closure detection in simultaneous
localisation and map** using local 3D deep descriptors (L3Ds). L3Ds are emerging …

This letter introduces a novel method for object-level relocalization of robotic systems. It
determines the pose of a camera sensor by robustly associating the object detections in the …

This study aims to investigate the current knowledge of unmanned aerial vehicle (UAV)‐
based simultaneous localization and map** (SLAM) in outdoor environments and to …

As the SLAM research area matures and the number of SLAM systems available increases,
the need for frameworks that can objectively evaluate them against prior work grows. This …

Robot trajectory prediction is an essential part of building digital twin systems and ensuring
the high-performance navigation of IoT mobile robots. In the study, a novel two-stage multi …

Demand is growing for markerless augmented reality (AR) experiences, but designers of the
real-world spaces that host them still have to rely on inexact, qualitative guidelines on the …