Pose angular-aiding for maneuvering target tracking

Yang, Chun; Bakich, Michael; Blasch, Erik

doi:10.1109/icif.2005.1591833

Cited by 56 publications

(21 citation statements)

References 6 publications

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“…Movement of vehicles expanded to include developments in people tracking [39], and methods to improve driver's ability to stay on roads [40,41]. Similarly, methods of mathematical performance analysis were developed for maneuvering target pose [42], maneuvering target state estimation [43] and tracking robustness for spatial-temporal context [44].…”

Section: Background On Contextual Tracking Methodsmentioning

confidence: 99%

Contextual Tracking Approaches in Information Fusion

Blasch

Yang²,

García

et al. 2016

Context-Enhanced Information Fusion

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Many information fusion solutions work well in the intended scenarios; but the applications, supporting data, and capabilities change over varying contexts. One example is weather data for electro-optical target trackers of which standards have evolved over decades. The operating conditions of technology changes, sensor/target variations, and the contextual environment can inhibit performance if not included in the initial systems design. In this chapter, we seek to define and categorize different types of contextual information. We describe five contextual information categories that support target tracking: (1) domain knowledge from a user to aid the information fusion process through selection, cueing, and analysis, (2) environment-to-hardware processing for sensor management, (3) known distribution of entities for situation/threat assessment, (4) historical traffic behavior for situation awareness patterns of life (POL), and (5) road information for target tracking and identification. Appropriate characterization and representation of contextual information is needed for future high-level information fusion designs to take advantage of the large data content available for a priori knowledge target tracking algorithm construction, implementation, and application

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Section: Background On Contextual Tracking Methodsmentioning

confidence: 99%

Contextual Tracking Approaches in Information Fusion

Blasch

Yang²,

García

et al. 2016

Context-Enhanced Information Fusion

View full text Add to dashboard Cite

show abstract

“…Movement of vehicles expanded to include developments in people tracking [36], and methods to improve driver's ability to stay on roads [37,38]. Similarly, methods of mathematical performance analysis were developed for maneuvering target pose [39], maneuvering target state estimation [40] and tracking robustness for spatial-temporal context [41].…”

Section: Contextual Tracking Methods (Review)mentioning

confidence: 99%

Overview of contextual tracking approaches in information fusion

et al. 2013

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Many information fusion solutions work well in the intended scenarios; but the applications, supporting data, and capabilities change over varying contexts. One example is weather data for electro-optical target trackers of which standards have evolved over decades. The operating conditions of: technology changes, sensor/target variations, and the contextual environment can inhibit performance if not included in the initial systems design. In this paper, we seek to define and categorize different types of contextual information. We describe five contextual information categories that support target tracking: (1) domain knowledge from a user to aid the information fusion process through selection, cueing, and analysis, (2) environment-to-hardware processing for sensor management, (3) known distribution of entities for situation/threat assessment, (4) historical traffic behavior for situation awareness patterns of life (POL), and (5) road information for target tracking and identification. Appropriate characterization and representation of contextual information is needed for future high-level information fusion systems design to take advantage of the large data content available for a priori knowledge target tracking algorithm construction, implementation, and application.

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“…The target pose therefore carries kinematic information about the direction of velocity vector that can be used to assist tracking of maneuvering targets [15]. A maneuver introduces a Doppler spread between scatterers on either sides of a target, which tilts the target's range-Doppler image.…”

Section: Introductionmentioning

confidence: 99%

A Net Track Solution to Pose-Angular Tracking of Maneuvering Targets in Clutter with HRR Radar

Yang¹,

Blasch

Garber³

et al. 2007

2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers

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Maintaining track continuity is a challenging task for large area persistent surveillance with high target density, rapid target maneuvering, and low target-to-clutter ratio. When the sensor revisit interval is long, measurement-to-track association becomes rather difficult. Although maneuvering targets can be discriminated via Doppler processing, clutter still masks moving targets at certain aspect angles. This creates a blind zone for GMTI (ground moving target indicator) radar, which may extend as large as 25% of the azimuth angles. For high-value targets that may undergo evasive maneuvers, a net track solution coordinating multiple looks from a netted set of sensors is set forth in this paper to ensure continuous monitoring. Target visibility therefore needs to be factored into netted radar platform coordination and sensor systems management. For ground targets, their heading is mostly aligned with the longitudinal axis. The target pose thus carries kinematic information about the direction of velocity vector that can be used to assist tracking of maneuvering targets. In this paper, the range profiles of high range resolution (HRR) radar are used for pose angular estimation of maneuvering targets in clutter. A pose-sensitive classifier provides matching scores that are converted into likelihoods and updated over time in a probabilistic manner. Pose angular tracking from individual sensors in the network is fused to cover the blind zone encountered by individual sensors. A software simulation environment that produces range profiles based on the RF signatures of moving targets is used in the study. Simulation results for pose angular tracking in clutter are presented to illustrate the net track solution concept and its performance.

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Pose angular-aiding for maneuvering target tracking

Abstract: -

Cited by 56 publications

References 6 publications

Contextual Tracking Approaches in Information Fusion

Contextual Tracking Approaches in Information Fusion

Overview of contextual tracking approaches in information fusion

A Net Track Solution to Pose-Angular Tracking of Maneuvering Targets in Clutter with HRR Radar

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