Takehiro Kashiyama

29 papers B 3Journal 14Unranked 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
Nationwide synthetic human mobility dataset construction from limited travel surveys and open data.
Comput. Aided Civ. Infrastructure Eng.
Takehiro Kashiyama, Yanbo Pang, Yuya Shibuya, Takahiro Yabe, Yoshihide Sekimoto
2023 J jnl
WindSR: Improving Spatial Resolution of Satellite Wind Speed Through Super-Resolution.
IEEE Access
Ashutosh Kumar, Tanvir Islam, Jue Ma, Takehiro Kashiyama, Yoshihide Sekimoto, Chris Mattmann
2022 — conf
Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator.
ITSC
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Hiroshi Omata, Yoshihide Sekimoto
2022 B conf
Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022).
IEEE Big Data
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
Crowdsensing-based Road Damage Detection Challenge (CRDDC-2022).
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2022 J jnl
Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation.
Comput. Vis. Image Underst.
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
2022 J jnl
Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data.
CoRR
Takehiro Kashiyama, Yanbo Pang, Yoshihide Sekimoto, Takahiro Yabe
2022 B conf
Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator.
IEEE Big Data
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Fan Zhang, Hiroshi Omata, Yoshihide Sekimoto
2021 — conf
Citywide reconstruction of cross-sectional traffic flow from moving camera videos.
IEEE BigData
Ashutosh Kumar, Takehiro Kashiyama, Hiroya Maeda, Yoshihide Sekimoto
2021 — conf
Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area.
IEEE BigData
Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto
2021 J jnl
Generative adversarial network for road damage detection.
Comput. Aided Civ. Infrastructure Eng.
Hiroya Maeda, Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Hiroshi Omata
2021 — conf
Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics.
SIGSPATIAL/GIS
Mingfei Cai, Yanbo Pang, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems.
ISPRS Int. J. Geo Inf.
Takehiro Kashiyama, Yoshihide Sekimoto, Toshikazu Seto, Ko Ko Lwin
2020 J jnl
Crowd Counting with Semantic Scene Segmentation in Helicopter Footage.
Sensors
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
2020 — conf
Development of the Localized Road Damage Detection Model Using Deep Neural Network.
SSIP
Alexander Mraz, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroya Maeda
2020 — conf
Global Road Damage Detection: State-of-the-art Solutions.
IEEE BigData
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Global Road Damage Detection: State-of-the-art Solutions.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Hiroshi Omata, Takehiro Kashiyama, Yoshihide Sekimoto
2020 J jnl
Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera.
Sensors
Takehiro Kashiyama, Hideaki Sobue, Yoshihide Sekimoto
2020 J jnl
Transfer Learning-based Road Damage Detection for Multiple Countries.
CoRR
Deeksha Arya, Hiroya Maeda, Sanjay Kumar Ghosh, Durga Toshniwal, Alexander Mraz, Takehiro Kashiyama, Yoshihide Sekimoto
2019 J jnl
Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage.
CoRR
Gergely Csönde, Yoshihide Sekimoto, Takehiro Kashiyama
2018 — conf
Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory.
IEEE BigData
Mitsuaki Obara, Takehiro Kashiyama, Yoshihide Sekimoto
2018 J jnl
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone.
CoRR
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2018 J jnl
Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images.
Comput. Aided Civ. Infrastructure Eng.
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2018 B conf
Sensing Population Mobility through City Boundary in Greater Maputo via Mobile Phone Big Data Mining.
SERVICES
Mohamed Batran, Hiroshi Kanasugi, Takehiro Kashiyama, Yoshihide Sekimoto, Ryosuke Shibasaki
2017 — conf
Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information.
UrbanGIS@SIGSPATIAL
Hiroya Maeda, Yoshihide Sekimoto, Toshikazu Seto, Takehiro Kashiyama, Hiroshi Omata
2016 — conf
Particle filter for real-time human mobility prediction following unprecedented disaster.
SIGSPATIAL/GIS
Akihito Sudo, Takehiro Kashiyama, Takahiro Yabe, Hiroshi Kanasugi, Xuan Song, Tomoyuki Higuchi, Shin'ya Nakano, Masaya M. Saito, Yoshihide Sekimoto
2016 — conf
Real-time people movement estimation in large disasters from several kinds of mobile phone data.
UbiComp Adjunct
Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama
2014 — conf
Transportation melting pot Dhaka: road-link based traffic volume estimation from sparse CDR data.
Urb-IoT
Yoko Hasegawa, Yoshihide Sekimoto, Takehiro Kashiyama, Hiroshi Kanasugi
2012 — conf
Research for measuring velocity and direction of current from dynamic image.
SCIS&ISIS
Yuki Fukushima, Etsuji Kitagawa, Hirokazu Muraki, Takehiro Kashiyama, Shigenori Tanaka