We are surrounded by plenty of information about our environment. From these multiple
sources, numerous data could be extracted: set of images, 3D model, coloured points …

The visual-based localization (VBL) obtains the corresponding pose estimation in the
localization system by utilizing various useful information in the surrounding environment …

Robots are increasingly operating in indoor environments designed for and shared with
people. However, robots working safely and autonomously in uneven and unstructured …

Camera pose estimation is an important problem in computer vision, with applications as
diverse as simultaneous localisation and mapping, virtual/augmented reality and navigation …

Camera relocalization plays a vital role in many robotics and computer vision tasks, such as
global localization, recovery from tracking failure, and loop closure detection. Recent …

Image-based relocalization is a renewed interest in outdoor environments, because it is an
important problem with many applications. PoseNet introduces Convolutional Neural …

Many applications require a camera to be relocalised online, without expensive offline
training on the target scene. Whilst both keyframe and sparse keypoint matching methods …

Calibrating narrow field of view soccer cameras is challenging because there are very few
field markings in the image. Unlike previous solutions, we propose a two-point method …

Complex environments pose great challenges for autonomous mobile robot navigation. In
this study, we address the problem of autonomous navigation in 3D environments with …

Camera relocalization plays a vital role in many robotics and computer vision applications,
such as self-driving cars and virtual reality. Recent random forests based methods exploit …