Individuals' indoor trajectories can be reconstructed with sensing data for indoor navigation.
However, the movement uncertainty of such reconstructed indoor trajectories has seldom …

With the continued deployment of the Internet of Things (IoT), increasing volumes of devices
are being deployed that emit massive spatially referenced data. Due in part to the dynamic …

ABSTRACT A large proportion of indoor spatial data is generated by parsing floor plans.
However, a mature and automatic solution for generating high-quality building elements (eg …

Indoor venues accommodate many people who collectively form crowds. Such crowds in
turn influence people's routing choices, eg, people may prefer to avoid crowded rooms when …

People have many activities indoors and there is an increasing demand of keyword-aware
route planning for indoor venues. In this paper, we study the indoor top-k keyword-aware …

Synthesizing a fake trajectory with consistent lifestyle and meaningful mobility as the actual
one is the most popular way to protect the location privacy in trajectory sharing. Recent …

Pandemics often cause dramatic losses of human lives and impact our societies in many
aspects such as public health, tourism, and economy. To contain the spread of an epidemic …

Indoor shortest path query (ISPQ) is of fundamental importance for indoor location-based
services (LBS). However, existing ISPQs ignore indoor temporal variations, eg, the open and …

Accurate and interpretable prediction of crowd flow would benefit business management
and public security. The existing studies are challenged to adapt to the indoor environment …

The growing ubiquity of location/activity sensing technologies has created unprecedented
opportunities for research on human spatiotemporal interaction behavior in mobile …