A collision prediction system for traffic intersections
A collision prediction system for traffic intersections
- Neue Suche nach: Atev, S.
- Neue Suche nach: Masoud, O.
- Neue Suche nach: Janardan, R.
- Neue Suche nach: Papanikolopoulos, N.
- Neue Suche nach: Atev, S.
- Neue Suche nach: Masoud, O.
- Neue Suche nach: Janardan, R.
- Neue Suche nach: Papanikolopoulos, N.
Monitoring traffic intersections in real-time and 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 (320x240) resolution. The errors in target position and dimension estimates in a test video sequence are quantified.
Dokumentinformationen
A collision prediction system for traffic intersections
2005
6 Seiten, 10 Quellen
Aufsatz (Konferenz)
Englisch
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