Survey of Visual Crowdsensing

Author:

Zhai Shuying,Li Ru

Abstract

Abstract In recent years, Visual Crowdsensing (VCS) that sensed through images and video, has become a predominant sensing paradigm of Mobile Crowdsensing (MCS), which is one of the current research hotspots. VCS requires people to capture the details of sensing objects in the real world in the form of pictures or video, which is widely used in various fields. However, there is no article summarizing the development and current situation of VCS. To this end, this paper summarized the latest applications of VCS, including floor plan generation, indoor scene reconstruction, outdoor scene reconstruction, event reconstruction, indoor localization, indoor navigation and disaster relief, and summarized some unique problems of VCS at present.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference20 articles.

1. Sparse mobile Crowdsensing: challenges and opportunities[J];Wang;IEEE Communications Magazine,2016

2. SISE: Self-updating of Indoor Semantic Floorplans for General Entities[J];Teng,2018

3. Firework: Data Processing and Sharing for Hybrid Cloud-Edge Analytics[J];Zhang,2018

4. IONavi: an indoor-outdoor navigation service via mobile crowdsensing[J];Teng;ACM Transactions on Sensor Networks,2017

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