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Real-time people movement estimation in large disasters from several kinds of mobile phone data.

, , , , , , , and . UbiComp Adjunct, page 1426-1434. ACM, (2016)

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Development of the Localized Road Damage Detection Model Using Deep Neural Network., , , and . SSIP, page 1-6. ACM, (2020)Particle filter for real-time human mobility prediction following unprecedented disaster., , , , , , , , and . SIGSPATIAL/GIS, page 5:1-5:10. ACM, (2016)Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022)., , , , , , and . IEEE Big Data, page 6378-6386. IEEE, (2022)Citywide reconstruction of cross-sectional traffic flow from moving camera videos., , , and . IEEE BigData, page 1670-1678. IEEE, (2021)Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone., , , , and . CoRR, (2018)Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems., , , and . ISPRS Int. J. Geo Inf., 9 (3): 161 (2020)Real-time people movement estimation in large disasters from several kinds of mobile phone data., , , , , , , and . UbiComp Adjunct, page 1426-1434. ACM, (2016)Global Road Damage Detection: State-of-the-art Solutions., , , , , , and . IEEE BigData, page 5533-5539. IEEE, (2020)Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator., , , , and . ITSC, page 2292-2299. IEEE, (2022)Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator., , , , , and . IEEE Big Data, page 1858-1865. IEEE, (2022)