In the modern era, the tourism sector has grown to be one of the dominant sectors globally
while technology continues to evolve. These facts have given birth to the “Smart Tourism” …

Virtual reality, augmented reality, robotics, and autonomous driving, have recently attracted
much attention from both academic and industrial communities, in which image-based …

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 …

Given an image of a street scene in a city, this paper develops a new method that can
quickly and precisely pinpoint at which location (as well as viewing direction) the image was …

SLAM is generally addressed using natural landmarks such as keypoints or texture, but it
poses some limitations, such as the need for enough textured environments and high …

Accurate camera localization in existing LiDAR maps is promising since it potentially allows
exploiting strengths of both LiDAR-based and camera-based methods. However, effective …

Light-weight camera localization in existing maps is essential for vision-based navigation.
Currently, visual and visual-inertial odometry (VO&VIO) techniques are well-developed for …

Camera, and associated with its objects within the field of view, localization could benefit
many computer vision fields, such as autonomous driving, robot navigation, and augmented …

Accurate registration of 2-D imagery with point clouds is a key technology for image-Light
Detection and Ranging (LiDAR) point cloud fusion, camera to laser scanner calibration, and …

Reliable and efficient visual place recognition is a major building block of modern SLAM
systems. Leveraging on our prior work, in this letter, we present a Hamming distance …