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 …

Underwater simultaneous localization and mapping (SLAM) has significant challenges due
to the complexities of underwater environments, marked by limited visibility, variable …

Quadruped robots, an important class of unmanned aerial vehicles, have broad potential for
applications in education, service, industry, military, and other fields. Their independent …

Abstract Simultaneous Localization and Mapping (SLAM) is the foundation of autonomous
navigation for unmanned systems. The existing SLAM solutions are mainly divided into the …

Mobile vehicles require accurate localization and dense mapping for motion planning. In this
paper, we propose a dense map construction algorithm based on a light-and-fast stereo …

Insects rely on the perception of image motion, or optic flow, to estimate their velocity relative
to nearby objects. This information provides important sensory input for avoiding obstacles …

Intelligent vehicles are constrained by road, resulting in a disparity between the assumed six
degrees of freedom (DoF) motion within the Visual Simultaneous Localization and Mapping …

Stereo matching algorithms work with multiple images of a scene, taken from two viewpoints,
to generate depth information. Authors usually use a single matching function to generate …

Developing new sensor fusion algorithms has become indispensable to tackle the daunting
problem of GPS-aided micro aerial vehicle (MAV) localization in large-scale landscapes …

Feature point detection is the basis of computer vision, and the detection methods with
geometric invariance and illumination invariance are the key and difficult problem in the field …