Nov 3, 2017 · Finally, CrowdGIS considers three updating categories (replacing, adding, and deleting) to update changed stores in the map based on the kernel ...
Abstract—Accurate digital maps play a crucial role in var- ious location-based services and applications. However, store information is usually missing or ...
CrowdGIS is proposed, an automatic store self-updating system for digital maps that leverages street views and sensing data crowdsourced from mobile users ...
In this paper, we propose CrowdGIS, an automatic store self- updating system for digital maps that leverages street views and sensing data crowdsourced from ...
It integrates a high-speed camera for in-flow image acquisition with automatic specimen labelling software, known as DiCANN (Dinoflagellate Categorisation by ...
Bibliographic details on CrowdGIS: Updating Digital Maps via Mobile Crowdsensing.
The evaluation results demonstrate that CrowdGIS effectively accommodates store variations and updates stores to maintain an up-to-date map with high accuracy.
Towards System Implementation and Data Analysis for Crowdsensing ...
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In this paper, we study (1) how to tame the sensing noises from heterogenous mobile devices, and (2) how to construct accurate and complete RSS maps with random ...
CrowdGIS uses street view and crowdsourcing data to estimate the potential relationship between the location and the actual location through neural network ...
Therefore, in this study, it is proposed that the Mobile Crowdsensing (MCS) method is implemented to retrieve and collect data on problems that occur in urban ...