The Boeing Company

Vodafone Group Plc.

Vodafone IP Licensing Limited

Vodafone Espana, S.a.u.

Javier Lopez

Yannick Le Pezennec

Luis P D'Alto

Marco La Civita

Miguel Angel Vilaplana Ruiz

David Scarlatti

Victor Perez Villar

Miguel Arranz Arauzo

Roberto Molina

Ruben San-Segundo Hernandez

Santiago Tenorio

Julio Urbano

Brendan Mcwilliams

Miguel Angel Arranz

Brendan Mc Williams

Techniques for estimating the impact of new operational conditions in a baseline air traffic scenario are described. For at least one flight, embodiments infer an aircraft intent that fits corresponding flight track data. A reconstructed trajectory is computed using the inferred aircraft intent. For at least one flight in an alternative air traffic scenario, an aircraft intent that fits new operational conditions is generated. The new operational conditions include a new air traffic management operation and a new air traffic procedure, and the generated aircraft intent conforms to the new air traffic management operation and the new air traffic procedure. Embodiments compute a generated trajectory of the at least one flight in the alternative air traffic scenario using the generated aircraft intent and compute trajectory-based analytics on each computed trajectory of the baseline and alternative air traffic scenarios using a set of metrics.

Computer-implemented method and system for estimating impact of new operational conditions in a baseline air traffic scenario

A computer-implemented method, system and computer program product for estimating the impact of new operational conditions in a baseline air traffic scenario. The system comprises: an intent inference module for retrieving flight track data and associated aircraft type information of a flight in a baseline air traffic scenario, and inferring an aircraft intent that fits the flight track data; an intent generation module for, using an alternative air traffic scenario based on the baseline air traffic scenario with new operational conditions, generating an aircraft intent for each flight in the alternative air traffic scenario that fits the new operational conditions; a trajectory computation module for computing the trajectory of each flight in the baseline and alternative air traffic scenario using their aircraft intent; an evaluation module for computing a trajectory-based analytics on each computed trajectory of the baseline and alternative air traffic scenario using a set of metrics.

The present invention relates to voice-activated vehicle control, and to the control of UAVs (unmanned air vehicles) using speech in particular. A method of controlling a vehicle is provided that includes receiving one or more instructions issued as speech and analyzing the speech using speech recognition software to provide a sequence of words and a word confidence measure for each word so recognized. The sequence of words is analyzed to identify a semantic concept corresponding to an instruction based on the analysis, and a semantic confidence level for the semantic concept identified derived at least in part with reference to the word confidence measures of the words associated with the semantic concept. A spoken confirmation of the semantic concept so identified based on the semantic confidence level is provided, and the semantic concept is used to provide a control input for the vehicle.

Vehicle control

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Madrid, Spain

Javier Lopez