Technologies and techniques of location and navigation are advancing, allowing greater
precision in locating people in complex and challenging conditions. These advances have …

Indoor navigation has remained an active research area for the last decade. Unlike outdoor
environments, indoor environments have additional challenges, such as weak signals, low …

Automatic identifying target multi-class objects in tunnel scenes from 3D point clouds is
widely thought to be critical for maintaining the healthy condition of the tunnel using deep …

During ship emergencies, a reliable and efficient evacuation system is able to guide
passengers to the appropriate muster stations as quickly as possible. The majority of the …

This paper proposes to learn the graph of accessible indoor routes by crowd-sourcing
inertial sensor data from mobile phones. The inertial sensor data collected by each phone is …

Knowing accurate indoor locations of pedestrians has great social and commercial values,
such as pedestrian heatmapping and targeted advertising. Location estimation with …

Point cloud semantic segmentation is a key step in the scan-to-HBIM process. In order to
reduce the information in the process of DGCNN, this paper proposes a Mix Pooling …

Acoustic motion tracking has been viewed as a promising user interaction technique in
many scenarios such as Virtual Reality (VR), Smart Appliance, video gaming, etc. Existing …

Pervasive and high-accuracy positioning has become increasingly important as a
fundamental enabler for intelligent connected devices in mobile networks. Nevertheless …

Data-driven inertial navigation is crucial for mobile computing applications such as
navigation, augmented reality, and robotics. It typically depends on a trained Velocity …