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1. WO2020117870 - SYSTEM AND METHOD FOR MODELING PHYSICAL OBJECTS IN A SIMULATION

Publication Number WO/2020/117870
Publication Date 11.06.2020
International Application No. PCT/US2019/064330
International Filing Date 03.12.2019
IPC
G06N 20/00 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06K 9/62 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
CPC
G01S 13/89
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
13Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
88Radar or analogous systems specially adapted for specific applications
89for mapping or imaging
G01S 17/89
GPHYSICS
01MEASURING; TESTING
SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
17Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
88Lidar systems specially adapted for specific applications
89for mapping or imaging
G06F 30/15
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
10Geometric CAD
15Vehicle, aircraft or watercraft design
G06F 30/20
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
30Computer-aided design [CAD]
20Design optimisation, verification or simulation
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
H04N 5/247
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
NPICTORIAL COMMUNICATION, e.g. TELEVISION
5Details of television systems
222Studio circuitry; Studio devices; Studio equipment ; ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, TV cameras, video cameras, camcorders, webcams, camera modules for embedding in other devices, e.g. mobile phones, computers or vehicles
225Television cameras ; ; Cameras comprising an electronic image sensor, e.g. digital cameras, video cameras, camcorders, webcams, camera modules specially adapted for being embedded in other devices, e.g. mobile phones, computers or vehicles
247Arrangements of television cameras
Applicants
  • ZOOX, INC. [US]/[US]
Inventors
  • DOLAN, James Graham
Agents
  • JOHNSON, Bruce L.
  • ADAMS, Scott S.
  • ADAMS, Dylan O.
  • ALBERT, Philip H.
  • BRUNNER, Jaron K.
  • BUNTS, James
  • BYER, Benjamin J.
  • CHANG, Jack
  • CHOU, Timothy
  • COLBURN, Heather M.
  • DAGGETT, David K.
  • DANSKIN, Timothy A.
  • DAVISON, Barry L.
  • DONOHUE, Michael J.
  • MOERSFELDER, Matthew E.
  • RABURN, Greg A.
  • ROGGE, Mark H.
  • RONDEAU, JR., George C.
  • SCHLEIFER, David C.
  • VAGNER, Allison
  • VAN DYKE, Colin W.
  • WILLIAMS, Matthew D.
  • WYCKOFF, Tim R.
Priority Data
16/213,93707.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR MODELING PHYSICAL OBJECTS IN A SIMULATION
(FR) SYSTÈME ET PROCÉDÉ POUR MODÉLISER DES OBJETS PHYSIQUES DANS UNE SIMULATION
Abstract
(EN)
An object model for a real world object is constructed using a parameter based object generator, where the parameters for the object model are determined using sensor data such as photographic images, radar images, or LIDAR images obtained from the real world object. Conversion of the sensor data to appropriate object parameters is accomplished using a machine learning system. The machine learning system is calibrated by generating a plurality of object parameters, generating a corresponding plurality of learning objects from the plurality of object parameters, generating a plurality of simulated sensor return data for the learning objects, and then providing the simulated sensor return data and object parameters to the machine learning system.
(FR)
L'invention concerne un modèle d'objet pour un objet du monde réel étant construit à l'aide d'un générateur d'objet basé sur des paramètres, les paramètres pour le modèle d'objet étant déterminés à l'aide de données de capteur telles que des images photographiques, des images radar ou des images LIDAR obtenues à partir de l'objet du monde réel. La conversion des données de capteur en paramètres d'objet appropriés est accomplie à l'aide d'un système d'apprentissage automatique. Le système d'apprentissage automatique est étalonné par la génération d'une pluralité de paramètres d'objet, la génération d'une pluralité correspondante d'objets d'apprentissage à partir de la pluralité de paramètres d'objet, la génération d’une pluralité de données de retour de capteur simulées pour les objets d'apprentissage, puis la fourniture des données de retour de capteur simulées et des paramètres d'objet au système d'apprentissage automatique.
Also published as
Latest bibliographic data on file with the International Bureau