Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

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) …

Robust visual localization under a wide range of viewing conditions is a fundamental
problem in computer vision. Handling the difficult cases of this problem is not only very …

Robust and accurate visual localization across large appearance variations due to changes
in time of day, seasons, or changes of the environment is a challenging problem which is of …

Robust data association is a core problem of visual odometry, where image-to-image
correspondences provide constraints for camera pose and map estimation. Current state-of …

Robust cross-seasonal localization is one of the major challenges in long-term visual
navigation of autonomous vehicles. In this paper, we exploit recent advances in semantic …

Human drivers are capable of recognizing places from a previous journey even when
viewing them from the opposite direction during the return trip under radically different …

In this paper, we present a method to utilize 2D-2D point matches between images taken
during different image conditions to train a convolutional neural network for semantic …