Forecasting Crowded Events using Public Announcements with Large Language Models
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…
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 prediction has recently gained popularity and been expected towards Advanced Driver Assistance System (ADAS). For these predictions, designing a reward function which assigns high values to ideal behaviors,…
Copyright 2015 · Shimosaka Research Group at TITECH