With the significant advancement of sensor and communication technology and the reliable
application of obstacle detection techniques and algorithms, automated driving is becoming …

This paper surveys a number of recent developments in modern Global Navigation Satellite
Systems (GNSS) and investigates the possible impact on autonomous driving architectures …

Dense 3D reconstruction and ego-motion estimation are key challenges in autonomous
driving and robotics. Compared to the complex, multi-modal systems deployed today, multi …

Visual localization, ie, the problem of camera pose estimation, is a central component of
applications such as autonomous robots and augmented reality systems. A dominant …

Visual Localization is one of the key enabling technologies for autonomous driving and
augmented reality. High quality datasets with accurate 6 Degree-of-Freedom (DoF) …

Benchmark datasets that measure camera pose accuracy have driven progress in visual re-
localisation research. To obtain poses for thousands of images, it is common to use a …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …

Complete autonomous systems such as self-driving cars to ensure the high reliability and
safety of humans need the most efficient combination of four-dimensional (4D) detection …

Global Navigation Satellite Systems (GNSS) brought navigation to the masses. Coupled with
smartphones, the blue dot in the palm of our hands has forever changed the way we interact …

Visual localization tackles the challenge of estimating the camera pose from images by
using correspondence analysis between query images and a map. This task is computation …