Authors:
Masahiro Hirano
;
Akihito Noda
;
Yuji Yamakawa
and
Masatoshi Ishikawa
Affiliation:
The University of Tokyo, Japan
Keyword(s):
Networked High-speed Vision, Collision Avoidance, Intelligent Vehicle.
Related
Ontology
Subjects/Areas/Topics:
Environmental Monitoring and Control
;
Informatics in Control, Automation and Robotics
;
Intelligent Transportation Technologies and Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Vehicle Control Applications
Abstract:
We propose a driving safety support system (DSSS) that employs a high-speed vision system installed in the environment surrounding, for instance, highways, urban roads, and intersections. The aim of the system is to recognize potentially dangerous traffic situations, including those that are undetectable from a moving vehicle, and to use this information for supporting safe driving. The system consists of a vision network of synchronized high-speed cameras that are capable of acquiring images at one-millisecond intervals, and vehicles that are capable of communicating with this network through communication hubs. We conducted collision avoidance experiments and demonstrated that, by introducing high-speed vision, the proposed system can resolve the issue of slow reaction time, which is common to environmental vision systems.