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 …

Limited navigation capabilities of many current robots and UAVs restricts their applications
in GPS denied areas. Large aircraft with complex navigation systems rely on a variety of …

We introduce the KAIST multi-spectral data set, which covers a great range of drivable
regions, from urban to residential, for autonomous systems. Our data set provides the …

With the advent of commodity autonomous mobiles, it is becoming increasingly prevalent to
recognize under extreme conditions such as night, erratic illumination conditions. This need …

This paper presents a new feature descriptor suitable to the task of matching features points
between images with nonlinear intensity variations. This includes image pairs with …

This paper proposes an approach for fusing direct radiometric data from a thermal camera
with inertial measurements to extend the robotic capabilities of aerial robots for navigation in …

Autonomous navigation of microaerial vehicles in environments that are simultaneously
GPS‐denied and visually degraded, and especially in the dark, texture‐less and dust‐or …

This manuscript presents a review of state-of-the-art techniques proposed in the literature for
multimodal image registration, addressing instances where images from different modalities …

The simultaneous use of images from different spectra can be helpful to improve the
performance of many computer vision tasks. The core idea behind the usage of cross …

In the last decade, visual odometry (VO) has attracted significant research attention within
the computer vision community. Most of the works have been carried out using standard …