Hierarchical cooperative discovery of personal places from location traces
S Vhaduri, C Poellabauer - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
It is becoming increasingly important to accurately detect a user's presence at certain
locations during certain times of the day, eg, to study the user's patterns with respect to …
locations during certain times of the day, eg, to study the user's patterns with respect to …
Discovering places of interest using sensor data from smartphones and wearables
Accurate detection of a user's presence at certain locations during certain times of the day is
becoming increasingly important, eg, to study the mobility, behavior, or social interaction …
becoming increasingly important, eg, to study the mobility, behavior, or social interaction …
Opportunistic discovery of personal places using multi-source sensor data
S Vhaduri, C Poellabauer - IEEE Transactions on Big Data, 2018 - ieeexplore.ieee.org
Modern smartphones and wearables are able to continuously collect significant amounts of
sensor data, where such data can be helpful to study a user's mobility or social interaction …
sensor data, where such data can be helpful to study a user's mobility or social interaction …
[HTML][HTML] Driver behaviour detection and vehicle rating using multi-UAV coordinated vehicular networks
Road accidents account for more than 2% of the total deaths across the globe with more
than a million deaths each year due to road mishaps and improper traffic management …
than a million deaths each year due to road mishaps and improper traffic management …
Opportunistic discovery of personal places using smartphone and fitness tracker data
S Vhaduri, C Poellabauer - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
It is becoming increasingly important to accurately detect a user's presence at certain locales
(such as workplace, home, fitness studio, parks, etc.) during certain times of the day, eg, to …
(such as workplace, home, fitness studio, parks, etc.) during certain times of the day, eg, to …
Privacy challenges with protecting live vehicular location context
Future Intelligent Transport Systems (ITS) will require that vehicles are equipped with
Dedicated Short Range Communications (DSRC). With these DSRC capabilities, new …
Dedicated Short Range Communications (DSRC). With these DSRC capabilities, new …
Novel model for predicting individuals' movements in dynamic regions of interest
The increasing amount of geotagged social media data provides a possible resource for
location prediction. However, existing location prediction methods rarely incorporate …
location prediction. However, existing location prediction methods rarely incorporate …
Stay-point identification as curve extrema
G Stylianou - arXiv preprint arXiv:1701.06276, 2017 - arxiv.org
In a nutshell, stay-points are locations that a person has stopped for some amount of time.
Previous work depends mainly on stay-point identification methods using experimentally …
Previous work depends mainly on stay-point identification methods using experimentally …
Breadcrumbs: a rich mobility dataset with point-of-interest annotations
Rich human mobility datasets are fundamental for evaluating algorithms pertaining to
geographic information systems. Unfortunately, existing mobility datasets--that are available …
geographic information systems. Unfortunately, existing mobility datasets--that are available …
Vehicle point of interest detection using in-car data
Intelligent transportation systems often identify and make use of locations extracted from
GPS trajectories to make informed decisions. However, many of the locations identified by …
GPS trajectories to make informed decisions. However, many of the locations identified by …