Patents by Inventor LAURE CHEVALLEY

LAURE CHEVALLEY has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10322819
    Abstract: The displacements of the drone are defined by piloting commands to take moving images of a target carrying the ground station. The system comprises means for adjusting the sight angle of the camera during the displacements of the drone and of the target, so that the images are centerd to the target, and means for generating flying instructions so that the distance between drone and target fulfills determined rules, these means being based on a determination of the GPS geographical position of the target with respect to the GPS geographical position of the drone, and of the angular position of the target with respect to a main axis of the drone. These means are also based on the analysis of a non-geographical signal produced by the target and received by the drone. The system allows freeing from the uncertainty of the GPS systems equipping this type of device.
    Type: Grant
    Filed: July 22, 2017
    Date of Patent: June 18, 2019
    Assignee: PARROT DRONES
    Inventors: Laure Chevalley, Edouard Leurent
  • Publication number: 20180022472
    Abstract: The displacements of the drone are defined by piloting commands to take moving images of a target carrying the ground station. The system comprises means for adjusting the sight angle of the camera during the displacements of the drone and of the target, so that the images are centred to the target, and means for generating flying instructions so that the distance between drone and target fulfils determined rules, these means being based on a determination of the GPS geographical position of the target with respect to the GPS geographical position of the drone, and of the angular position of the target with respect to a main axis of the drone. These means are also based on the analysis of a non-geographical signal produced by the target and received by the drone. The system allows freeing from the uncertainty of the GPS systems equipping this type of device.
    Type: Application
    Filed: July 22, 2017
    Publication date: January 25, 2018
    Inventors: Laure CHEVALLEY, Edouard Leurent
  • Patent number: 9576207
    Abstract: The method consists in taking, when the vehicle is running, images of the road markings delimiting the circulation lanes of the road, and in fully estimating, through an iterative process, the orientation of the camera with respect to the vehicle, based on the position of two lanes located side-by-side on the image. The calibration essentially comprises: correcting the position of the lane edges in the image (10, 12); estimating the residual pitch and yaw (16); updating the rotation matrix (18); estimating the residual roll (20); updating the rotation matrix (24). These steps are iterated until the corrective angles estimated by each module are negligible (22).
    Type: Grant
    Filed: December 4, 2014
    Date of Patent: February 21, 2017
    Assignee: PARROT AUTOMOTIVE
    Inventor: Laure Chevalley
  • Patent number: 9387927
    Abstract: The drone comprises: a vertical-view camera (132) pointing downward to pick up images of a scene of the ground overflown by the drone; gyrometer, magnetometer and accelerometer sensors (176); and an altimeter (174). Navigation means determine position coordinates (X, Y, Z) of the drone in an absolute coordinate system linked to the ground. These means are autonomous, operating without reception of external signals. They include image analysis means, adapted to derive a position signal from an analysis of known predetermined patterns (210), present in the scene picked up by the camera, and they implement a predictive-filter estimator (172) incorporating a representation of a dynamic model of the drone, with as an input the position signal, a horizontal speed signal, linear and rotational acceleration signals, and an altitude signal.
    Type: Grant
    Filed: July 3, 2014
    Date of Patent: July 12, 2016
    Assignee: Parrot
    Inventors: Michael Rischmuller, Laure Chevalley, Francois Callou, Etienne Caldichoury
  • Publication number: 20150161456
    Abstract: The method consists in taking, when the vehicle is running, images of the road markings delimiting the circulation lanes of the road, and in fully estimating, through an iterative process, the orientation of the camera with respect to the vehicle, based on the position of two lanes located side-by-side on the image. The calibration essentially comprises: correcting the position of the lane edges in the image (10, 12); estimating the residual pitch and yaw (16); updating the rotation matrix (18); estimating the residual roll (20); updating the rotation matrix (24). These steps are iterated until the corrective angles estimated by each module are negligible (22).
    Type: Application
    Filed: December 4, 2014
    Publication date: June 11, 2015
    Inventor: Laure Chevalley
  • Publication number: 20150149000
    Abstract: The drone comprises: a vertical-view camera (132) pointing downward to pick up images of a scene of the ground overflown by the drone; gyrometer, magnetometer and accelerometer sensors (176); and an altimeter (174). Navigation means determine position coordinates (X, Y, Z) of the drone in an absolute coordinate system linked to the ground. These means are autonomous, operating without reception of external signals. They include image analysis means, adapted to derive a position signal from an analysis of known predetermined patterns (210), present in the scene picked up by the camera, and they implement a predictive-filter estimator (172) incorporating a representation of a dynamic model of the drone, with as an input the position signal, a horizontal speed signal, linear and rotational acceleration signals, and an altitude signal.
    Type: Application
    Filed: July 3, 2014
    Publication date: May 28, 2015
    Inventors: MICHAEL RISCHMULLER, LAURE CHEVALLEY, FRANCOIS CALLOU, ETIENNE CALDICHOURY