WIRE AND PYLON CLASSIFICATION BASED ON TRAJECTORY TRACKING

A trajectory tracking system includes a set of dynamic models, a trajectory database, a trajectory handler, a parameter extractor and a classifier. There is one dynamic model per expected obstacle type and it models an expected trajectory of a point of normal incidence (PNI) of the expected obstacle...

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Bibliographische Detailangaben
Hauptverfasser:	SEGAL, Shai, SLAPAK, Alon
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ANALOGOUS ARRANGEMENTS USING OTHER WAVES DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION ORRERADIATION OF RADIO WAVES MEASURING PHYSICS RADIO DIRECTION-FINDING RADIO NAVIGATION SIGNALLING TESTING TRAFFIC CONTROL SYSTEMS
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Beschreibung
Zusammenfassung:	A trajectory tracking system includes a set of dynamic models, a trajectory database, a trajectory handler, a parameter extractor and a classifier. There is one dynamic model per expected obstacle type and it models an expected trajectory of a point of normal incidence (PNI) of the expected obstacle. The trajectory database stores trajectories for a current set of obstacles being tracked. The trajectory handler at least associates incoming detections to existing trajectories and to update the existing trajectories. The parameter extractor periodically extracts parameters from the trajectories and the classifier classifies obstacles associated with the trajectories at least based on the parameters of the trajectories and on associated the dynamic models for the trajectories.