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1. WO2020056331 - SYSTEM AND METHOD FOR OBTAINING TRAINING DATA

Publication Number WO/2020/056331
Publication Date 19.03.2020
International Application No. PCT/US2019/051121
International Filing Date 13.09.2019
IPC
G06N 3/08 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06N 3/04 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architecture, e.g. interconnection topology
CPC
G05D 1/0246
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
1Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
02Control of position or course in two dimensions
021specially adapted to land vehicles
0231using optical position detecting means
0246using a video camera in combination with image processing means
G05D 2201/0213
GPHYSICS
05CONTROLLING; REGULATING
DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
2201Application
02Control of position of land vehicles
0213Road vehicle, e.g. car or truck
G06K 9/6256
GPHYSICS
06COMPUTING; CALCULATING; 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
6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
6256Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
G06K 9/627
GPHYSICS
06COMPUTING; CALCULATING; 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
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
G06K 9/6273
GPHYSICS
06COMPUTING; CALCULATING; 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
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
6271based on distances to prototypes
6272based on distances to cluster centroïds
6273Smoothing the distance, e.g. Radial Basis Function Networks
G06N 20/10
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
10using kernel methods, e.g. support vector machines [SVM]
Applicants
  • TESLA, INC. [US]/[US]
Inventors
  • KARPATHY, Andrej
Agents
  • FULLER, Michael L.
Priority Data
62/731,65114.09.2018US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR OBTAINING TRAINING DATA
(FR) SYSTÈME ET PROCÉDÉ D'OBTENTION DE DONNÉES D'ENTRAÎNEMENT
Abstract
(EN) Systems and methods for obtaining training data are described. An example method includes receiving sensor and applying a neural network to the sensor data. A trigger classifier is applied to an intermediate result of the neural network to determine a classifier score for the sensor data. Based at least in part on the classifier score, a determination is made whether to transmit via a computer network at least a portion of the sensor data. Upon a positive determination, the sensor data is transmitted and used to generate training data.
(FR) L'invention concerne des systèmes et des procédés d'obtention de données d'entraînement. Un procédé donné à titre d'exemple consiste à recevoir un capteur et à appliquer un réseau neuronal aux données de capteur. Un classificateur de déclenchement est appliqué à un résultat intermédiaire du réseau neuronal pour déterminer une note de classificateur pour les données de capteur. Sur la base, au moins en partie, de la note de classificateur, il est déterminé s'il faut transmettre, par l'intermédiaire d'un réseau informatique, au moins une partie des données de capteur. Lors d'une détermination positive, les données de capteur sont transmises et utilisées pour générer des données d'entraînement.
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