Real-Time Collision Warning and Avoidance at Intersections
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Real-Time Collision Warning and Avoidance at Intersections
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2004-11-01
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Minnesota Department of Transportation
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Monitoring traffic intersections in real-time as well as predicting possible collisions is an important first step towards building an early collision warning system. We present the general vision methods used in a system addressing this problem and describe the practical adaptations necessary to achieve real-time performance. A novel method for three dimensional vehicle size estimation is presented. We also describe a method for target localization in real-world coordinates, which allows for sequential incorporation of measurements from multiple cameras into a single target's state vector. Additionally, a fast implementation of a false-positive reduction method for the foreground pixel masks is developed. Finally, a low-overhead collision prediction algorithm using the time-as-axis paradigm is presented. The proposed system was able to perform in real-time on videos of quarter-VGA ($320\times240$) resolution. The errors in target position and dimension estimates in a test video sequence are quantified.
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Atev, Stefan; Masoud, Osama; Janardan, Ravi; Papanikolopoulos, Nikolaos P.. (2004). Real-Time Collision Warning and Avoidance at Intersections. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/1132.
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