Safety

Recently pre-crash safety systems have become available to reduce the damage of accidents.
Also a camera based sensor to detect driver’s facing direction to improve the system response
have been developed to upgrade the system performance. When the system detects that a
driver is not facing forward, the timing of warnings are hastened so that the damage can be
reduced more than the ones without the sensor.
As the needs from the driving support systems is becoming more precise, monitoring the
conditions of drivers such as an eyelid position is another step.
A sensor which detects driver’s eyelid position to detect possible inattentive condition of a
driver who closes eyes for a certain period of time have been developed. System tests under
varieties of lighting conditions and test subjects are also performed.
Robustness of the system was confirmed to be a practical level for actual application to
mass-production cars.

AISIN SEIKI CO., LTD., Japan

TOYOTA MOTOR CORPORATION, Japan

TOYOTA CENTRAL R&D LABS., INC.

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

This paper presents a Vision based Driver Assistance System (VDAS) for safe and efficient
driving based on computer vision and artificial intelligence technologies. The proposed
system is composed of three functions: (1) blind spot warning to assist lane change, (2) lane
departure warning to inform the driver of unintended lane departure, and (3) parking assist to
guide parking to driver by overlaying of parking guide line on A/V monitor in vehicle. To
develop the VDAS including above three applications, we used two DSP chips for image
processing, an ECU to control system, two cameras mounted to side mirrors and A/V monitor.
In this paper, we show how each function is operating and descript key algorithms of each
function. Evaluation results show that proposed system is useful to assist driver.

Hyundai & Kia Corporate Research & Development Division

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Iteris, Inc. in association with Traffic Technologies, LLC is assisting the Nebraska
Department of Roads (NDOR) with the design, deployment, and maintenance of a leased,
temporary work zone traffic management system along the Interstate 80 corridor. The work
zone system brings real-time traveler information to NDOR-owned roadside signs for display
to the motoring public. The system consists of several vehicle detection devices, speed
sensors, CCTV cameras, portable dynamic message signs, and a communication system so
that constant monitoring of the system is achievable from any device with a web-based
connection. It is the intent that NDOR District 1 operations staff, NE State Patrol, and others
have access to monitor and operate the system. On-going field verification and any necessary
maintenance of equipment are also conducted for the system as part of this contract.

Iteris, Inc.

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

The Interstate-80 (I-80) corridor from the Bay Bridge to the Carquinez Bridge is the
worst congested corridor in the Bay Area. This corridor has ranked as the most congested
corridor in the entire San Francisco Bay Area during the last six years, with traffic
volumes reaching 312,000 vehicles per day, with an average of 20,000 hours of delay
daily. Currently, the demand on the freeway far exceeds the roadway capacity, causing
unreliable travel times, erratic operating speeds, breakdowns, as well as diversion to the
local arterials. The congestion on the roadway network contributes to an increase in
incident rates, including rear-end accidents on both freeway and local arterials. These
contribute to delays for transit services operating along the corridors. The combined
effect of the incidents and the congestion hinders efficient incident response times and
creates additional secondary incidents.

Alameda County CMA

Kimley-Horn and Associates, Inc.

DKS Associates


Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York