If we can visualize and understand the motions of humans and construction machines based on the surrounding information, we can use this information for various applications such as improving work efficiency.In order to achieve this, it is important to appropriately…
Predicting population density transition in urban regions, i.e., urban dynamics, is playing an increasingly important role in many real-world aspects, such as urban planning, emergency management, public services, and commercial activities. Thanks to the rapidly popularized smart devices, a…
Fast and stable driving behavior prediction in the high-dimensional state space 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…
Predicting anomalous crowds, i.e., the irregular people gatherings in unusual events is a very important topic to enable appropriate countermeasures such as crowd control or avoidance of the COVID-19 epidemic. The existing work [Konishi+, UbiComp’16] proposed the method of irregularity…
The user’s indoor location is vital information for analyzing user’s activity. RSSI-based localization is prominent technology among the indoor location estimation technologies. However, accuracy deterioration occurs due to furniture or the access point (AP) being moved and other effects in…
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 Assistance Systems (ADAS) to protect the safety of pedestrians on…
RSSI-based indoor localization for mobile devices has become important as the basis technology for various ubiquitous computing applications. With the widespread use of smartphones in the last decade, device dependency must be considered to avoid performance degradation, while most of…
The wide spread use of smartphones provides us large scale location data. Analysis of location oriented data enables us to predict location destination of users. Specifically, by predicting destinations at early stage of each trip, location specific online advertisement before…
The “irregular congestion” will be caused by some large scale events which are held in the specific region, such as a fireworks display or a sport game. Since it is strongly needed to avoid the risks of crowd accidents in…
Abstract Wearable health care devices, gadgets for monitoring personal activity including steps to heart rates, are gaining popularity on health-care and sport fields. Consequently, precise analysis of the health and physical performance of the individual is promising. In contrast, our…