Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry
(VIO), have attracted great attention recently. They are regarded as critical modules for …

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 …

Robust and accurate geometric understanding against adverse weather conditions is one
top prioritized conditions to achieve a high-level autonomy of self-driving cars. However …

Resilient pose estimation for autonomous systems, and especially small unmanned aerial
robots, is one of the core capabilities required for these robots to perform their assigned …

Mapping the environment is a powerful technique for enabling autonomy through
localization and planning in robotics. This article seeks to provide a global overview of …

To achieve robust motion estimation in visually degraded environments, thermal odometry
has been an attraction in the robotics community. However, most thermal odometry methods …

Indoor autonomous navigation refers to the perception and exploration abilities of mobile
agents in unknown indoor environments with the help of various sensors. It is the basic and …

RGB-thermal semantic segmentation is one potential solution to achieve reliable semantic
scene understanding in adverse weather and lighting conditions. However, the previous …

Visual object recognition is a fundamental challenge for reliable search and rescue (SAR)
robots, where vision can be limited by lighting and other harsh environmental conditions in …

In recent years, longwave infrared (LWIR) cameras have become potential in visual
simultaneous localization and mapping (SLAM) research since the delivered thermal …