Trajectory prediction via a feature vector approach
Abstract
Described herein are various technologies pertaining to extracting one or more features from trajectory data recorded during motion of a body, and further, generating a n-dimensional feature vector based upon the one or more extracted features. The n-dimensional feature vector enables expedited analysis of the trajectory data from which the feature vector was generated. For example, rather than having to analyze a trajectory curve comprising a large number of time-position data points, the n-dimensional feature vector can be compared with one or more search parameters to facilitate clustering of the trajectory data associated with the n-dimensional feature vector with other trajectory data which also satisfies the search request. The trajectory data can be plotted on a screen in combination with the n-dimensional feature vector, and other pertinent information. The trajectory data, etc., can be displayed using heat maps or other graphical representation.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1771505
- Patent Number(s):
- 10801841
- Application Number:
- 15/454,812
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01C - MEASURING DISTANCES, LEVELS OR BEARINGS
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 03/09/2017
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Citation Formats
Rintoul, Mark Daniel, Wilson, Andrew T., and Valicka, Christopher G. Trajectory prediction via a feature vector approach. United States: N. p., 2020.
Web.
Rintoul, Mark Daniel, Wilson, Andrew T., & Valicka, Christopher G. Trajectory prediction via a feature vector approach. United States.
Rintoul, Mark Daniel, Wilson, Andrew T., and Valicka, Christopher G. Tue .
"Trajectory prediction via a feature vector approach". United States. https://www.osti.gov/servlets/purl/1771505.
@article{osti_1771505,
title = {Trajectory prediction via a feature vector approach},
author = {Rintoul, Mark Daniel and Wilson, Andrew T. and Valicka, Christopher G.},
abstractNote = {Described herein are various technologies pertaining to extracting one or more features from trajectory data recorded during motion of a body, and further, generating a n-dimensional feature vector based upon the one or more extracted features. The n-dimensional feature vector enables expedited analysis of the trajectory data from which the feature vector was generated. For example, rather than having to analyze a trajectory curve comprising a large number of time-position data points, the n-dimensional feature vector can be compared with one or more search parameters to facilitate clustering of the trajectory data associated with the n-dimensional feature vector with other trajectory data which also satisfies the search request. The trajectory data can be plotted on a screen in combination with the n-dimensional feature vector, and other pertinent information. The trajectory data, etc., can be displayed using heat maps or other graphical representation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {10}
}
Works referenced in this record:
Flight management system with integrated tactical commands for use with an aircraft and method of operating same
patent-application, July 2012
- Walter, Randy Lynn
- US Patent Application 12/986838; 20120179368
A Methodology for Automated Trajectory Prediction Analysis
conference, August 2004
- Gong, Chester; McNally, Dave
- AIAA Guidance, Navigation, and Control Conference and Exhibit
Least time alternate destination planner
patent, November 1998
- Murray, Daniel J.; Griffin, John; Ness, Patricia Suzan
- US Patent Document 5,842,142
Method and system for tracking and prediction of aircraft trajectories
patent, March 2005
- Baiada, R. Michael; Bowlin, Lonnie
- US Patent Document 6,873,903
Measuring Quality in Optimal Navigation Routes by Navigation Systems
patent-application, February 2016
- Fowe, James Adeyemi
- US Patent Application 14/465531; 20160054135
Trajectory Clustering and an Application to Airspace Monitoring
journal, December 2011
- Gariel, Maxime; Srivastava, Ashok N.; Feron, Eric
- IEEE Transactions on Intelligent Transportation Systems, Vol. 12, Issue 4
System and method for planning, disruption management, and optimization of networked, scheduled or on-demand air transport fleet trajectory operations
patent-application, June 2014
- Sawhill, Bruce K.; Herriot, James W.; Holmes, Bruce J.
- US Patent Application 14/038920; 20140163850
Method for determining the vertical point for switching from a manual piloting mode to a guided mode
patent-application, December 2015
- Gutierrez-Castaneda, Manuel; Caudron de Coquereaumont, Bertrand; Jeanjean, Xavier
- US Patent Application 14/747940; 20150378358
Air traffic system using procedural trajectory prediction
patent-application, November 2017
- Brandao, Ruy C.; Wang, Guo Qing; Zhang, Yong
- US Patent Application 15/524176; 20170337829
Adaptive Algorithm to Improve Trajectory Prediction Accuracy of Climbing Aircraft
journal, January 2013
- Thipphavong, David P.; Schultz, Charles A.; Lee, Alan G.
- Journal of Guidance, Control, and Dynamics, Vol. 36, Issue 1
Methods and systems for inferring aircraft parameters
patent, August 2014
- Castillo-Effen, Mauricio; Chan, David So Keung; Tomlinson, Jr., Harold Woodruff
- US Patent Document 8,798,898
Head-up display/synthetic vision system predicted flight path depiction
patent, February 2015
- Seah, Kirschen A.
- US Patent Document 8,963,742
Predicting trajectories of objects based on contextual information
patent, February 2016
- Ferguson, David I.; Silver, David Harrison; Ross, Stephane
- US Patent Document 9,248,834
Air traffic demand prediction
patent-application, January 2008
- Wise, Gerald Bowden; Lizzi, John Michael; Hoebel, Louis John
- US Patent Application 11/427728; 20080004792