A real-time Monte Carlo implementation for computing probability of conflict

Lee Yang; Ji Hyun Yang; James Kuchar; Eric Feron

doi:10.2514/6.2004-4876

A real-time Monte Carlo implementation for computing probability of conflict

Lee Yang, Ji Hyun Yang, James Kuchar, Eric Feron

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

36 Scopus citations

Abstract

In this paper, we present a method for computing the Probability of Conflict, PC, using a fast Monte Carlo implementation. Often, Monte Carlo simulations are associated with off-line analysis or verification, and are thought of as too slow for real-time usage. However, we describe an implementation that allows for fast computation and can be used in certain on-line applications. Examples are given for aircraft and automobile conflict detection. Both pseudo-code and Matlab code are provided to help explain and disseminate the approach.

Original language	English (US)
Title of host publication	Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference
Publisher	American Institute of Aeronautics and Astronautics [email protected]
Pages	617-636
Number of pages	20
ISBN (Print)	1563476703
DOIs	https://doi.org/10.2514/6.2004-4876
State	Published - Jan 1 2004
Externally published	Yes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-18

Access to Document

10.2514/6.2004-4876

Cite this

@inproceedings{17c465a81b9240178a9696fcfa6332e2,

title = "A real-time Monte Carlo implementation for computing probability of conflict",

abstract = "In this paper, we present a method for computing the Probability of Conflict, PC, using a fast Monte Carlo implementation. Often, Monte Carlo simulations are associated with off-line analysis or verification, and are thought of as too slow for real-time usage. However, we describe an implementation that allows for fast computation and can be used in certain on-line applications. Examples are given for aircraft and automobile conflict detection. Both pseudo-code and Matlab code are provided to help explain and disseminate the approach.",

author = "Lee Yang and Yang, {Ji Hyun} and James Kuchar and Eric Feron",

note = "Generated from Scopus record by KAUST IRTS on 2021-02-18",

year = "2004",

month = jan,

day = "1",

doi = "10.2514/6.2004-4876",

language = "English (US)",

isbn = "1563476703",

pages = "617--636",

booktitle = "Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference",

publisher = "American Institute of Aeronautics and Astronautics [email protected]",

}

A real-time Monte Carlo implementation for computing probability of conflict. / Yang, Lee; Yang, Ji Hyun; Kuchar, James et al.
Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics [email protected], 2004. p. 617-636.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A real-time Monte Carlo implementation for computing probability of conflict

AU - Yang, Lee

AU - Yang, Ji Hyun

AU - Kuchar, James

AU - Feron, Eric

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-18

PY - 2004/1/1

Y1 - 2004/1/1

N2 - In this paper, we present a method for computing the Probability of Conflict, PC, using a fast Monte Carlo implementation. Often, Monte Carlo simulations are associated with off-line analysis or verification, and are thought of as too slow for real-time usage. However, we describe an implementation that allows for fast computation and can be used in certain on-line applications. Examples are given for aircraft and automobile conflict detection. Both pseudo-code and Matlab code are provided to help explain and disseminate the approach.

AB - In this paper, we present a method for computing the Probability of Conflict, PC, using a fast Monte Carlo implementation. Often, Monte Carlo simulations are associated with off-line analysis or verification, and are thought of as too slow for real-time usage. However, we describe an implementation that allows for fast computation and can be used in certain on-line applications. Examples are given for aircraft and automobile conflict detection. Both pseudo-code and Matlab code are provided to help explain and disseminate the approach.

UR - http://arc.aiaa.org/doi/10.2514/6.2004-4876

UR - http://www.scopus.com/inward/record.url?scp=19644368257&partnerID=8YFLogxK

U2 - 10.2514/6.2004-4876

DO - 10.2514/6.2004-4876

M3 - Conference contribution

SN - 1563476703

SP - 617

EP - 636

BT - Collection of Technical Papers - AIAA Guidance, Navigation, and Control Conference

PB - American Institute of Aeronautics and Astronautics [email protected]

ER -

A real-time Monte Carlo implementation for computing probability of conflict

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this