CrowdGIS: Updating Digital Maps via Mobile Crowdsensing

@article{Peng2018CrowdGISUD,
  title={CrowdGIS: Updating Digital Maps via Mobile Crowdsensing},
  author={Zhe Peng and Shang Gao and Bin Xiao and Songtao Guo and Yuanyuan Yang},
  journal={IEEE Transactions on Automation Science and Engineering},
  year={2018},
  volume={15},
  pages={369-380}
}
Accurate digital maps play a crucial role in various location-based services and applications. However, store information is usually missing or outdated in current maps. In this paper, we propose CrowdGIS, an automatic store self-updating system for digital maps that leverages street views and sensing data crowdsourced from mobile users. We first develop a new weighted artificial neural network to learn the underlying relationship between estimated positions and real positions to localize user… CONTINUE READING