Accurate localization of a vehicle is a fundamental challenge and one of the most important
tasks of mobile robots. For autonomous navigation, motion tracking, and obstacle detection …

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 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 …

The development of a navigation system is one of the major challenges in building a fully
autonomous platform. Full autonomy requires a dependable navigation capability not only in …

We present COIN-LIO, a LiDAR Inertial Odometry pipeline that tightly couples information
from LiDAR intensity with geometry-based point cloud registration. The focus of our work is …

This paper investigates the application of linear learning techniques to the place recognition
problem. We present two learning methods, a supervised change prediction technique …

A robust visual place recognition (VPR) is one of the significant requirements for visual
simultaneous localization and mapping (SLAM). Many researchers have put forth their …

Topological/metric route following, also called teach and repeat (T&R), enables long‐range
autonomous navigation even without globally consistent localization. In the teach pass, the …

Visual localization in outdoor environments is often hampered by the natural variation in
appearance caused by such things as weather phenomena, diurnal fluctuations in lighting …

Visual navigation of mobile robots has become a core capability that enables many
interesting applications from planetary exploration to self-driving cars. While systems built on …