When Crowdsourcing Meets Unmanned Vehicles: Toward Cost-Effective Collaborative Urban Sensing via Deep Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3062569
Abstract: Mobile crowdsensing (MCS) and unmanned vehicle sensing (UVS) provide two complementary paradigms for large-scale urban sensing. Generally, MCS has a lower cost but often confronts sensing imbalance and even blind areas due to the limitation… read more here.
Keywords: effective collaborative; urban sensing; reinforcement learning; cost effective ... See more keywords
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3169703
Abstract: Motivated by the state-of-the-art optical sensing and image processing technologies, remote urban sensing (RUS) has emerged as a powerful sensing paradigm to capture abundant visual information about the urban environment for intelligent city monitoring, planning,… read more here.
Keywords: classification super; classification; urban sensing; super resolution ... See more keywords
Community-Centered Urban Sensing
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of E-Planning Research"
DOI: 10.4018/ijepr.2019100101
Abstract: The authors examine the problem of integrating urban sensing into engaged planning. The authors ask whether enhanced urban data and analysis can enhance resident engagement in planning and design, rather than hinder it, even when… read more here.
Keywords: centered urban; community; planning design; urban sensing ... See more keywords