Toyohiro Hayashi

Safety Driving Assessment Based on Video Image Sequence Analysis

In this paper, a driving assessment mechanism based on video image sequence analysis techniques, such as traffic signs and road markings detection, and inter-vehicular distance estimation, is proposed. A smart device connected to 3G wireless networks is used to collect and send sensory information. These data are analyzed in a cloud computing infrastructure to evaluate personal driving assessment. The traffic signs detection realized by utilizing SIFT feature descriptor and the inter-vehicular distance estimation technique based on simple geometric constraints, are shown in detail.

ASURA: Kyushu United Team in the Four Legged Robot League

This paper presents our approach to the Sony Four Logged Robot League of RoboCup 2001. The components of our system consist of strategy, vision, localization, behaviors and walking module. We introduce several techniques for these modules: The image based cooperation, TSL color space for robust color classification, accurate localization through observing the nearest marker and enhanced parameterized walk. We also develop two powerful tools, the color classification tool which allows us to extract accurate thresholds fast, and the forth interpreting language environment which provides interactive access for the robot control.

Cloud Drive: A Computing Architecture for a Scalable Driving Safety Management System

In Japan, taxi, bus, and cargo truck operation companies are required by law to commit to driving safety management. Driving safety management is achieved by a cyclic process consisting of collecting sensory information, assessing driving safety, and improving driving based on the results. At this time, this is performed by transport company personnel. In this paper, an architecture and its implementation for a scalable driving safety management system are proposed. The system consists of smart devices and services provided by a cloud computing infrastructure. The smart devices are connected to 3G wireless networks used to collect and send sensory information such as video image sequences, acceleration, and GPS data. The services available in the cloud computing infrastructure are a time-series sensory data storage service, image analysis service for driving assessment, and real-time feedback service.