Intelligent mobile vehicles asks for the ability to learn to comprehend immediate
surroundings similar to human cognition and autonomously navigate in an unknown scene …

The navigation of autonomous mobile robots requires effective localization and mapping
modules. Dense map representation of the robot surroundings, which contains detailed …

In the field of autonomous navigation and surveying, constructing large-scale and globally
consistent environmental maps in real-time is a critical problem. In this case, the algorithm …

Global localization is a key problem that needs to be solved for single-line LiDAR based
robot navigation since it will directly affect the estimation accuracy of the robot's initial pose …

Three-dimensional reconstruction in confined spaces is important for the manufacturing of
aircraft wings, inspection of narrow pipes, examination of turbine blades, etc. It is also …

Direct visual odometry (DVO) is an important vision task which aims to obtain the camera
motion via minimizing the photometric error across the different correlated images. However …

Autonomous navigation in narrow indoor environments such as indoor factory, warehouse
and laboratory environments, and so on requires higher flexibility and navigation accuracy …

Self-tracking and scene reconstruction are crucial for mobile platform navigation in unknown
indoor environments. Red-Green-Blue Depth (RGB-D) camera is an ideal choice of the …

Simultaneous localization and mapping (SLAM) is the task to estimate agent's ego-motion in
the map and reconstruct the 3D geometric of an unknown environment in parallel. Although …

We propose a simple but effective obstacle-avoiding approach for autonomous robot
navigation. The method computes local but safe navigation path and relies only on visual …