Adaptive incremental beacon placement optimization for crowd density monitoring applications

With the pandemic of COVID-19, indoor crowd density monitoring has become one of the most critical responsibilities of public space managers. The University of Tokyo released an indoor density monitoring…

Fine-grained Urban Dynamics Prediction using Large-Scale Mobile Phone Location Data

Robustifying Wi-Fi localization by Between-Location data augmentation

In Wi-Fi fingerprint-based indoor localization, we need to acquire a dataset with a high-density dataset in the target environment in this framework. To overcome the data acquisition cost problem, we…

Driving behavior modeling at un-signalized intersection with inverse reinforcement learning on sequential MDPs

Construction vehicle activity recognition based on sensor data

Multi-Task Multi-Order Poisson Regression for urban dynamics prediction

Predicting anomalous crowds with anomaly score-matching-based regression using transit search logs and GPS mobility logs

GroupWiLo: Accurate and Low-cost Wi-Fi-based Localization with Minimization of Parameter Total Variation

Adaptive driving behavior modeling towards diverse driving situations using inverse reinforcement learning

The declining trend in the number of fatal accidents on residential roads in Japan has been flat for the last two decades. Against this background, the development of Advanced Driver…

Robust indoor localization across smartphone models with ellipsoid features from multiple RSSIs