Visual perception enabled industry intelligence: state of the art, challenges and prospects

J Yang, C Wang, B Jiang, H Song… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Visual perception refers to the process of organizing, identifying, and interpreting visual
information in environmental awareness and understanding. With the rapid progress of …

Data-oriented mobile crowdsensing: A comprehensive survey

Y Liu, L Kong, G Chen - IEEE communications surveys & …, 2019 - ieeexplore.ieee.org
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 …

CSI-based fingerprinting for indoor localization: A deep learning approach

X Wang, L Gao, S Mao, S Pandey - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …

See through smoke: robust indoor mapping with low-cost mmwave radar

CX Lu, S Rosa, P Zhao, B Wang, C Chen… - Proceedings of the 18th …, 2020 - dl.acm.org
This paper presents the design, implementation and evaluation of milliMap, a single-chip
millimetre wave (mmWave) radar based indoor mapping system targetted towards low …

Incentive mechanism for privacy-aware data aggregation in mobile crowd sensing systems

H Jin, L Su, H Xiao, K Nahrstedt - IEEE/ACM Transactions on …, 2018 - ieeexplore.ieee.org
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 …

Mobile crowdsourcing in smart cities: Technologies, applications, and future challenges

X Kong, X Liu, B Jedari, M Li, L Wan… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Local administrations and governments aim at leveraging wireless communications and
Internet of Things (IoT) technologies to manage the city infrastructures and enhance the …

Floornet: A unified framework for floorplan reconstruction from 3d scans

C Liu, J Wu, Y Furukawa - Proceedings of the European …, 2018 - openaccess.thecvf.com
The ultimate goal of this indoor mapping research is to automatically reconstruct a floorplan
simply by walking through a house with a smartphone in a pocket. This paper tackles this …

Inception: Incentivizing privacy-preserving data aggregation for mobile crowd sensing systems

H Jin, L Su, H Xiao, K Nahrstedt - … on Mobile Ad Hoc Networking and …, 2016 - dl.acm.org
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 …

An efficient prediction-based user recruitment for mobile crowdsensing

E Wang, Y Yang, J Wu, W Liu… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

An incentive mechanism for privacy-preserving crowdsensing via deep reinforcement learning

Y Liu, H Wang, M Peng, J Guan… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the rise of the Internet of Things (IoT), the number of mobile devices with sensing and
computing capabilities increases dramatically, paving the way toward an emerging …