Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set observes apparent states of each road user of the plurality of road users at successive time steps, the data processor assigns a behavioral model stored in the data storage device, the data processor calculating a new maneuver distribution that is a probability distribution over a finite plurality of alternative maneuvers and a new state distribution that is a probability distribution of possible states for each alternative maneuver of the finite plurality of alternative maneuvers. The data processor determines a risk of collision of the road vehicle with another road user, based on the new maneuver and state distributions of the target road user, and outputs one or more of a driver warning signal and executes an avoidance action if the risk of collision exceeds a predetermined threshold.
Type:
Grant
Filed:
June 2, 2017
Date of Patent:
June 21, 2022
Assignees:
TOYOTA MOTOR EUROPE, INSTITUT NATIONAL de RECHERCHE en INFORMATIQUE et en AUTOMATIQUE (INRIA), INSTITUT NATIONAL DES SCIENCES APPLQUEES DE LYON
Inventors:
Nicolas Vignard, David Sierra Gonzalez, Christian Laugier, Jilles Steeve Dibangoye, Victor Romero-Cano
Abstract: The present invention concerns a driving assistance method and system (100) for a road vehicle (1). The driving assistance system (100) comprises a sensor set (200), a data storage device (101, 102) and an output device (104, 105). The sensor set (200) observes, in a traffic scene including the road vehicle among a plurality of road users, apparent states of each road user of the plurality of road users at successive time steps. The data processor (103) assigns, to a target road user of the plurality of road users, a behavioral model stored in the data storage device (101, 102).
Type:
Application
Filed:
June 2, 2017
Publication date:
June 18, 2020
Applicants:
TOYOTA MOTOR EUROPE, INSTITUT NATIONAL de RECHERCHE en INFORMATIQUE et en AUTOMATIQUE (INRIA), INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON
Inventors:
Nicolas VIGNARD, David SIERRA GONZALEZ, Christian LAUGIER, Jilles Steeve DIBANGOYE, Victor ROMERO-CANO
Abstract: A computer-implemented method of characterizing molecular diffusion within a body from a set of diffusion-weighted magnetic resonance signals by computing a weighted average of a plurality of multi-compartment diffusion models comprises a same number of compartments, fitted to a set of diffusion-weighted magnetic resonance signals, the weighted average being computed using weights representative of a performance criterion of each of the models; wherein each of the multi-compartment diffusion models comprises a different number of subsets of compartments, the compartments of a same subset being identical to each other.
Type:
Grant
Filed:
April 16, 2015
Date of Patent:
June 4, 2019
Assignees:
UNIVERSITE DE RENNES 1, CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE (INRIA), INSTITUT NATIONAL DE LA SANTE DE LA RECHERCHE MEDICALE (INSERM)
Inventors:
Patrick Perez, Olivier Commowick, Christian Barillot, Aymeric Stamm
Abstract: Methods for characterizing two-dimensional concept drawings are disclosed. The concept drawings comprise cross-sections intersecting at cross-hairs. The method comprises: determining, for each cross-section: a plane on which the cross-section is located, the plane having a normal vector in a three-dimensional coordinate system; and, for each cross-hair on the cross-section, a tangent vector in the three-dimensional coordinate system which is tangent to the cross-section at the cross-hair. For each cross-hair comprising ith and jth intersecting cross-sections, one or more constraints are satisfied, the constraints comprising: the normal vector ni of the plane on which the ith cross-section is located is at least approximately orthogonal to the normal vector nj of the plane on which the jth cross-section is located; and the tangent vector tij to the ith cross-section at the cross-hair is at least approximately orthogonal to the tangent vector tji to the jth cross-section at the cross-hair.
Type:
Grant
Filed:
July 1, 2016
Date of Patent:
May 8, 2018
Assignees:
The University of British Columbia, The Governing Councel of the University of Toronto, Institut National de Recherche en Informatique et en Automatique (Inria)
Inventors:
Cloud Yunfei Shao, Adrien Bousseau, Alla Sheffer, Karansher Singh
Abstract: Methods for characterizing two-dimensional concept drawings are disclosed. The concept drawings comprise cross-sections intersecting at cross-hairs. The method comprises: determining, for each cross-section: a plane on which the cross-section is located, the plane having a normal vector in a three-dimensional coordinate system; and, for each cross-hair on the cross-section, a tangent vector in the three-dimensional coordinate system which is tangent to the cross-section at the cross-hair. For each cross-hair comprising ith and jth intersecting cross-sections, one or more constraints are satisfied, the constraints comprising: the normal vector ni of the plane on which the ith cross-section is located is at least approximately orthogonal to the normal vector nj of the plane on which the jth cross-section is located; and the tangent vector tij to the ith cross-section at the cross-hair is at least approximately orthogonal to the tangent vector tji to the jth cross-section at the cross-hair.
Type:
Grant
Filed:
May 8, 2014
Date of Patent:
August 2, 2016
Assignees:
The University of British Columbia, Institut National de Recherche en Informatique et en Automatique (Inria), The Governing Council of the University of Toronto
Inventors:
Cloud Yunfei Shao, Adrien Bousseau, Alla Sheffer, Karansher Singh