Document Type
Project
Publication Date
Winter 2000
Instructor
Long
Course Title
Strategic Management of Technology
Course Number
EMGT 510/610
Abstract
Preface:
The number of commercial vehicles (trucks) on the U.S. Highways will continue to growth by an average annual ra!e of approximately 10% over the next 3 to 5 years. Along with the predicted increased movement of goods due to the ecommerce revolution, accidents (and death rates) involving commercial trucks are on the rise. In the following, we will investigate the future of Intelligent Safety and Driver Assistance Systems, designed to increase the overall safety of commercial vehicles, in the wake of augmented national and government interest in these technologies. We will concentrate on vehicle-based rather than infrastructure- based technologies. Due to the large number of different systems under development, we have to restrict our investigation. Therefore, we will intentionally disregard all kinds of Vision Enhancement systems (like Night Vision) as well as all infrastructure-assisted approaches including GPS-based technologies.
Rights
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Persistent Identifier
http://archives.pdx.edu/ds/psu/24789
Citation Details
Gross, Volkmar and Keirouz, Ziad, "Intelligent Safety and Driver Assistance Systems for Heavy Duty Trucks" (2000). Engineering and Technology Management Student Projects. 2141.
http://archives.pdx.edu/ds/psu/24789