Localization is essential for the autonomous navigation of a mobile robot. Because the error
of the internal dead-reckoning localization increases with time, the localization error should …

Precise pose estimation is crucial to various robots. In this paper, we present a localization
method using correlative scan matching (CSM) technique for indoor mobile robots equipped …

The traditional polarization three-dimensional (3D) imaging technology has limited
applications in the field of vision because it can only obtain the relative depth information of …

Results and Conclusions–Traditional methods based on cameras, radar and thermal
sensors in smart cities cannot provide data with sufficient accuracy in all kinds of lighting and …

This paper presents both static calibration and dynamics compensation to reduce the
positioning errors of the SCORBOT robot. First, a sensor fusion scheme is proposed to …

To improve mobile robot positioning accuracy in building environments and construct
structural three-dimensional (3D) maps, this paper proposes a stereo visual-inertial …

For greater autonomy of visual control-based solutions, especially applied to mobile robots,
it is necessary to consider the existence of unevenness in the navigation surface, an intrinsic …

Accurate vehicle localization is a key technology for autonomous driving tasks in indoor
parking lots, such as automated valet parking. Additionally, infrastructure-based cooperative …

In the field of mobile robotics, legged robots are distinguished by their capability to traverse
challenging terrain and ascend stairs. The Boston Dynamics' Spot robot exemplifies this …

Results and Conclusions–Traditional methods based on cameras, radar and thermal
sensors in smart cities cannot provide data with sufficient accuracy in all kinds of lighting and …