Track Segment Association via track graph representation learning

Track-to-Track Association and Bias Removal

This paper develops methods for associating two sets of sensor tracks in the presence of missing tracks and translation bias. Key results include (1) Extension of the Maximum A Posteriori Probability method of matching tracks to use feature information as well as kinematic information; (2) translation bias removal techniques that are computationally tractable for large numbers of tracks, and ef...

Track-to-Track Association Using Attributes

The problem of track-to-track association (T2TA)– a prerequisite for the fusion of tracks–has been considered initially in the literature for tracks described by kinematic states [1]. More recently, it has been generalized to include additional (continuous valued) feature and (discrete valued) attribute variables which pertain to those tracks.1 These approaches allow the search for the maximum ...

An Automated Approach to Passive Sonar Track Segment Association

The primary objective of passive surveillance is to covertly develop situational awareness. In the underwater environment, passive sonar is commonly used to detect and track targets by their own acoustic emissions. Although significant advances have been made in sensor technology and front-end signal processing, much of the work of identifying targets from a series of intensity peaks in time an...

Radiation track and DNA damage

Investigation of the Influences of Track Superstructure Parameters on Ballasted Railway Track Design

The main design criteria of ballasted railway tracks include rail deflections, rail bending stresses, rail wheel contact stresses, sleeper bending moments and ballast sleeper contact pressures. Numerous criteria have been defined for the design of ballasted railway tracks owing to the various mechanical properties of track components and their complex interaction. Therefore, railway track desig...