This work addresses off-line accurate trajectory reconstruction for Air Traffic Control. We propose the use of specific dynamic models after identification of regular motion patterns. Datasets recorded from opportunity traffic are first segmented in motion segments, based on the mode probabilities of an IMM filter. Then, reconstruction is applied with an… (More)
– The evolution of airborne communication systems and ground stations make it possible to improve the performance of tracking systems, in order to increase capacity, safety and efficiency of air traffic environments. These new systems enable downlinking several aircraft parameters for use in ground air traffic management (ATM) systems. Some of these… (More)
This work addresses the application of a machine-learning approach to classify ATC trajectory segments from recorded opportunity traffic. It is based on the mode probabilities estimated by an IMM tracking filter operating forward and backward over available data. A learning algorithm creates a rule base for classification from these data, once they have… (More)
This paper describes an off-line bias estimation and correction system for Air Traffic Control related sensors, used in a newly developed Eurocontrol tool for the assessment of ATC surveillance systems. Current bias estimation algorithms are mainly focused in radar sensors, but the installation of new sensors (especially Automatic Dependent… (More)
–A simple ADS-B data fusion method to incorporate ADS-B data in traffic control centres already operative is presented. The implementation of this solution has low-impact on the system with a quite acceptable performance. The goal is to make the fusion with the minimal intervention on the tracking filter already tuned and tested.
This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications. These specifications define the desired filter performance in a thorough set of selected test scenarios, for different figures of merit and input conditions, imposing… (More)
In this contribution we address the problem of motion and structure estimation of objects that fit a deformation model. Our purpose is to provide a suitable input to a recognition system directed at detecting particular shapes and deformation patterns (gestures) of the object. This is accomplished by means of a stereoscopic vision system which first… (More)