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 …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

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

Accurately estimating a robot's pose relative to a global scene model and precisely tracking
the pose in real-time is a fundamental problem for navigation and obstacle avoidance tasks …

Visual place recognition (VPR) is the process of recognising a previously visited place using
visual information, often under varying appearance conditions and viewpoint changes and …

Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …

This letter presents a novel, compute-efficient and training-free approach based on
Histogram-of-OrientedGradients (HOG) descriptor for achieving state-of-the-art performance …

Appearance-based loop closure techniques, which leverage the high information content of
visual images and can be used independently of pose, are now widely used in robotic …

Roboticists have long drawn inspiration from nature to develop navigation and simultaneous
localization and mapping (SLAM) systems such as RatSLAM. Animals such as birds and …