Kazuya Takeda

TL;DR: The results showed the promise of this framework for estimating deceleration probability during car following, using estimated time-to-collision (TTC) information, using both negative and positive values as a criticality indicator of driving situations perceived by the driver.

TL;DR: The authors have developed a voice-activated telephone exchange system by combining a continuous speech recognizer and a private branch exchange system (PBX), and conducted field trials and improved system performance by mainly attacking the issues.

TL;DR: The results indicate that covering one or both ears decreased their sound localization performance, and the factors that cause poor performance can be clarified by comparing these results with characteristics of head-related transfer function.

TL;DR: This work presents the Tsukuba Challenge Dynamic Object Tracks dataset, which features nearly 10,000 trajectories of pedestrians, cyclists, and other dynamic agents, in particular autonomous robots, and provides a 3D map of the environment used as global frame for all trajectories.

TL;DR: A data-driven approach that analyzes peripheral vehicular behaviors during gaze transitions of drivers, to compare their neutral driving state with a cognitive distraction state is proposed and shows that drivers, under the neutral conditions, turned their gaze to peripheral vehicles to be focused on; however, they did not do this consistently under the distracted conditions.