Trends in Computer Vision: An Overview of Vision-Based Data Acquisition and Processing Technology and Its Potential for the Transportation Sector
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2011-12-15
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Abstract:This report foresees imaging technology rapidly advancing in applications that require simple object detection, such as vehicle collision avoidance and advanced traffic management systems. The paper speculates that future advances, such as improved object detection algorithms, machine learning and "augmented reality" may influence a number of transportation applications in the automotive, industrial, and infrastructure sectors. This report is part of the Connected Vehicle Technology Scan and Assessment project. This two year scanning series of Connected Vehicle Insight reports will assess emerging, converging and enabling technologies outside the domain of mainstream transportation research. ITS America seeks technologies that will potentially impact state-of-the-art or state-of-the-practice in ITS deployment over the next decade, with an emphasis on the "connected vehicle." The Technology Scan Series notes trends, technologies, and innovations that could influence, or be leveraged as part of, next-generation intelligent transportation systems within the next five to seven years. The series' focus is on developments in applied science and engineering and innovation in data acquisition, dissemination, processing, and management technologies and techniques that can potentially support transportation.
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