Visual perception enabled industry intelligence: state of the art, challenges and prospects
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …
information in environmental awareness and understanding. With the rapid progress of …
Data-oriented mobile crowdsensing: A comprehensive survey
Mobile devices equipped with rich sensors, such as smartphones, watches, or vehicles,
have been pervasively used all around the world. Their high penetration and powerful …
have been pervasively used all around the world. Their high penetration and powerful …
CSI-based fingerprinting for indoor localization: A deep learning approach
With the fast-growing demand of location-based services in indoor environments, indoor
positioning based on fingerprinting has attracted significant interest due to its high accuracy …
positioning based on fingerprinting has attracted significant interest due to its high accuracy …
See through smoke: robust indoor map** with low-cost mmwave radar
This paper presents the design, implementation and evaluation of milliMap, a single-chip
millimetre wave (mmWave) radar based indoor map** system targetted towards low …
millimetre wave (mmWave) radar based indoor map** system targetted towards low …
An efficient prediction-based user recruitment for mobile crowdsensing
Mobile crowdsensing is a new paradigm in which a group of mobile users exploit their smart
devices to cooperatively perform a large-scale sensing job. One of the users' main concerns …
devices to cooperatively perform a large-scale sensing job. One of the users' main concerns …
Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …
On designing data quality-aware truth estimation and surplus sharing method for mobile crowdsensing
Mobile crowdsensing has become a novel and promising paradigm in collecting, analyzing,
and exploiting massive amounts of data. However, the issue of data quality has not been …
and exploiting massive amounts of data. However, the issue of data quality has not been …
Floornet: A unified framework for floorplan reconstruction from 3d scans
The ultimate goal of this indoor map** research is to automatically reconstruct a floorplan
simply by walking through a house with a smartphone in a pocket. This paper tackles this …
simply by walking through a house with a smartphone in a pocket. This paper tackles this …
Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems
The recent proliferation of human-carried mobile devices has given rise to mobile crowd
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
sensing (MCS) systems that outsource the collection of sensory data to the public crowd …
Task allocation in mobile crowd sensing: State-of-the-art and future opportunities
Mobile crowd sensing (MCS) is the special case of crowdsourcing, which leverages the
smartphones with various embedded sensors and user's mobility to sense diverse …
smartphones with various embedded sensors and user's mobility to sense diverse …