Dynamic probability fields for risk assessment and guidance solutions

• Autorzy: Williams Edwin , Jin Yan

Identyfikatory

DOI

10.1515/aon-2019-0004

• Języki publikacji: EN

Abstrakty

EN

Standard Guidance, Navigation, and Control (GN&C) systems take state data from a navigation system and create a trajectory that minimizes some a-priori determined cost function. These cost functions are typically time, money, weight, or any general physically realizable quantity. Previous work has been done to show the effectiveness of using risk as the sole objective function. However, this previous work used Poisson distributions and historical estimates to achieve this goal. In this paper we present the situation-risk assessment (SRA) method contained within the intelligent situation assessment and collision avoidance (iSC) platform. The SRA method uses data clustering, and pattern recognition to create a historically based estimate of guidance probabilities. These are then used in data driven, dynamic models to create the future probability fields of the situation. This probability, along with the other agent’s goals and objectives, are then used to create a minimum risk guidance solution in the nautical environment.

Słowa kluczowe

EN

GNSS; Galileo; EDAS; tracking; firefighting; multisensor; fusion; communication optimization

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2019
• Tom: No. 26
• Strony: 33--45
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Williams Edwin

• The University of Southern California, 920 Downey Way, BHE B13, Los Angeles, CA 90089, USA

autor

Jin Yan

• The University of Southern California, 3650 McClintock Ave, OHE 400D, Los Angeles, CA 90089, USA

Bibliografia

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• [16] Williams E., and Jin Y., “Use of Situation and Risk Modeling in Guidance Solutions”, IEEE/ION Position Location and Navigation Symposium, 23-26 Apr. 2018.
• [17] Williams E., and Jin Y., “Low Earth Orbit Debris Avoidance Using Situation-Risk Assessment Modeling”, 2018 AIAA SPACE Forum, 2018.
• [18] Williams E., and Jin Y., “Development of Probability Fields for Collision Avoidance,” currently unpublished.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).