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1. WO2020159968 - PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING

Publication Number WO/2020/159968
Publication Date 06.08.2020
International Application No. PCT/US2020/015383
International Filing Date 28.01.2020
IPC
G06K 9/00 2006.1
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
CPC
G05D 1/0214
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
0212with means for defining a desired trajectory
0214in accordance with safety or protection criteria, e.g. avoiding hazardous areas
G05D 1/0221
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
0212with means for defining a desired trajectory
0221involving a learning process
G05D 1/0223
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
0212with means for defining a desired trajectory
0223involving speed control of the vehicle
G05D 1/0231
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
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
Applicants
  • TESLA, INC. [US]/[US]
Inventors
  • ELLUSWAMY, Ashok Kumar
  • BAUCH, Matthew
  • PAYNE, Christopher
  • KARPATHY, Andrej
  • SHROFF, Dhaval
  • RAMANANDAN, Arvind
  • HAKEWILL, James Robert Howard
Agents
  • FULLER, Michael L.
Priority Data
16/265,72001.02.2019US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) PREDICTING THREE-DIMENSIONAL FEATURES FOR AUTONOMOUS DRIVING
(FR) PRÉDICTION DE CARACTÉRISTIQUES TRIDIMENSIONNELLES POUR CONDUITE AUTONOME
Abstract
(EN) A processor coupled to memory is configured to receive image data based on an image captured by a camera of a vehicle. The image data is used as a basis of an input to a trained machine learning model trained to predict a three-dimensional trajectory of a machine learning feature. The three-dimensional trajectory of the machine learning feature is provided for automatically controlling the vehicle.
(FR) La présente invention concerne un processeur couplé à une mémoire configuré pour recevoir des données d'image sur la base d'une image capturée par une caméra d'un véhicule. Les données d'image sont utilisées en tant que base d'une entrée d'un modèle d'apprentissage machine formé, formé afin de prédire une trajectoire tridimensionnelle d'une caractéristique d'apprentissage machine. La trajectoire tridimensionnelle de la caractéristique d'apprentissage machine est fournie afin de commander automatiquement le véhicule.
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