Research for measuring velocity and direction of current from dynamic image. - Yuki Fukushima; Etsuji Kitagawa; Hirokazu Muraki; Takehiro Kashiyama; Shigenori Tanaka (SCIS&ISIS, 2012)

Transportation melting pot Dhaka: road-link based traffic volume estimation from sparse CDR data. - Yoko Hasegawa; Yoshihide Sekimoto; Takehiro Kashiyama; Hiroshi Kanasugi (Urb-IoT, 2014)

Particle filter for real-time human mobility prediction following unprecedented disaster. - Akihito Sudo; Takehiro Kashiyama; Takahiro Yabe; Hiroshi Kanasugi; Xuan Song 001; Tomoyuki Higuchi; Shin'ya Nakano; Masaya M. Saito; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2016)

Real-time people movement estimation in large disasters from several kinds of mobile phone data. - Yoshihide Sekimoto; Akihito Sudo; Takehiro Kashiyama; Toshikazu Seto; Hideki Hayashi; Akinori Asahara; Hiroki Ishizuka; Satoshi Nishiyama (UbiComp Adjunct, 2016)

Extraction of Road Maintenance Criteria using Machine Learning and Spatial Information. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (UrbanGIS@SIGSPATIAL, 2017)

Flying Object Detection and Classification by Monitoring Using Video Images. - Hideaki Sobue; Yuki Fukushima; Takahiro Kashiyama; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2017)

Deep Reinforcement Learning Approach for Train Rescheduling Utilizing Graph Theory. - Mitsuaki Obara; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2018)

Sensing Population Mobility through City Boundary in Greater Maputo via Mobile Phone Big Data Mining. - Mohamed Batran; Hiroshi Kanasugi; Takehiro Kashiyama; Yoshihide Sekimoto; Ryosuke Shibasaki (SERVICES, 2018)

Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2018)

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone. - Hiroya Maeda; Yoshihide Sekimoto; Toshikazu Seto; Takehiro Kashiyama; Hiroshi Omata (CoRR, 2018)

Congestion Analysis of Convolutional Neural Network-Based Pedestrian Counting Methods on Helicopter Footage. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (CoRR, 2019)

Global Road Damage Detection: State-of-the-art Solutions. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2020)

Development of the Localized Road Damage Detection Model Using Deep Neural Network. - Alexander Mraz; Yoshihide Sekimoto; Takehiro Kashiyama; Hiroya Maeda (SSIP, 2020)

Transfer Learning-based Road Damage Detection for Multiple Countries. - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Alexander Mraz; Takehiro Kashiyama; Yoshihide Sekimoto (CoRR, 2020)

Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems. - Takehiro Kashiyama; Yoshihide Sekimoto; Toshikazu Seto; Ko Ko Lwin (ISPRS Int. J. Geo Inf., 2020)

Crowd Counting with Semantic Scene Segmentation in Helicopter Footage. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (Sensors, 2020)

Sky Monitoring System for Flying Object Detection Using 4K Resolution Camera. - Takehiro Kashiyama; Hideaki Sobue; Yoshihide Sekimoto (Sensors, 2020)

Citywide reconstruction of cross-sectional traffic flow from moving camera videos. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Yoshihide Sekimoto (IEEE BigData, 2021)

Development of a Reinforcement Learning based Agent Model and People Flow Data to Mega Metropolitan Area. - Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE BigData, 2021)

Simulating Human Mobility with Agent-based Modeling and Particle Filter Following Mobile Spatial Statistics. - Mingfei Cai; Yanbo Pang; Takehiro Kashiyama; Yoshihide Sekimoto (SIGSPATIAL/GIS, 2021)

Generative adversarial network for road damage detection. - Hiroya Maeda; Takehiro Kashiyama; Yoshihide Sekimoto; Toshikazu Seto; Hiroshi Omata (Comput. Aided Civ. Infrastructure Eng., 2021)

Crowdsensing-based Road Damage Detection Challenge (CRDDC'2022). - Deeksha Arya; Hiroya Maeda; Sanjay Kumar Ghosh; Durga Toshniwal; Hiroshi Omata; Takehiro Kashiyama; Yoshihide Sekimoto (IEEE Big Data, 2022)

Vehicle re-identification and trajectory reconstruction using multiple moving cameras in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Fan Zhang; Hiroshi Omata; Yoshihide Sekimoto (IEEE Big Data, 2022)

Citywide reconstruction of traffic flow using the vehicle-mounted moving camera in the CARLA driving simulator. - Ashutosh Kumar; Takehiro Kashiyama; Hiroya Maeda; Hiroshi Omata; Yoshihide Sekimoto (ITSC, 2022)

Pseudo-PFLOW: Development of nationwide synthetic open dataset for people movement based on limited travel survey and open statistical data. - Takehiro Kashiyama; Yanbo Pang; Yoshihide Sekimoto; Takahiro Yabe (CoRR, 2022)

Online real-time pedestrian tracking from medium altitude aerial footage with camera motion cancellation. - Gergely Csönde; Yoshihide Sekimoto; Takehiro Kashiyama (Comput. Vis. Image Underst., 2022)

WindSR: Improving Spatial Resolution of Satellite Wind Speed Through Super-Resolution. - Ashutosh Kumar; Tanvir Islam; Jue Ma; Takehiro Kashiyama; Yoshihide Sekimoto; Chris Mattmann (IEEE Access, 2023)

Nationwide synthetic human mobility dataset construction from limited travel surveys and open data. - Takehiro Kashiyama; Yanbo Pang; Yuya Shibuya; Takahiro Yabe; Yoshihide Sekimoto (Comput. Aided Civ. Infrastructure Eng., 2024)