MX2017010913A - Modelado fisico para sensores de radar y ultrasonicos. - Google Patents

Modelado fisico para sensores de radar y ultrasonicos.

Info

Publication number
MX2017010913A
MX2017010913A MX2017010913A MX2017010913A MX2017010913A MX 2017010913 A MX2017010913 A MX 2017010913A MX 2017010913 A MX2017010913 A MX 2017010913A MX 2017010913 A MX2017010913 A MX 2017010913A MX 2017010913 A MX2017010913 A MX 2017010913A
Authority
MX
Mexico
Prior art keywords
reflection
data
environment
radar
probability distribution
Prior art date
Application number
MX2017010913A
Other languages
English (en)
Inventor
Groh Alexander
Kunes Kay
Houts Sarah
Original Assignee
Ford Global Tech Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ford Global Tech Llc filed Critical Ford Global Tech Llc
Publication of MX2017010913A publication Critical patent/MX2017010913A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
    • G09B9/00—Simulators for teaching or training purposes
    • G09B9/54—Simulation of radar
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO 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
    • G01S13/00—Systems 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
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06—Systems determining position data of a target
    • G01S13/08—Systems for measuring distance only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO 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
    • G01S13/00—Systems 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
    • G01S13/86—Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
    • G01S13/865—Combination of radar systems with lidar systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO 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
    • G01S15/00—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/02—Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
    • G01S15/06—Systems determining the position data of a target
    • G01S15/08—Systems for measuring distance only
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/15—Vehicle, aircraft or watercraft design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/08—Probabilistic or stochastic CAD

Abstract

Un módulo de aprendizaje automático puede generar una distribución de probabilidad a partir de datos de preparación que incluyen datos de modelado etiquetados correlacionados con datos de reflexión. Los datos de modelado pueden incluir datos de un sistema LIDAR, cámara y/o un GPS para un ambiente/objeto diana. Los datos de reflexión se pueden recoger del mismo ambiente/objeto por un sistema de radar y/o ultrasónico. La distribución de probabilidad puede asignar coeficientes de reflexión para sistemas de radar y/o ultrasónicos acondicionados en valores para modelar datos. Un módulo de mapeo puede crear un modelo de reflexión para cubrir una ambiente virtual montado a partir de un segundo conjunto de datos de modelado aplicando el segundo conjunto a la distribución de probabilidad para asignar valores de reflexión a superficies dentro del ambiente virtual. Además, un banco de prueba puede evaluar un algoritmo, para procesar datos de reflexión para generar señales de control en un vehículo autónomo, con datos de reflexión simulados a partir de un sensor virtual que acopla valores de reflexión asignados dentro del ambiente virtual.
MX2017010913A 2016-08-26 2017-08-24 Modelado fisico para sensores de radar y ultrasonicos. MX2017010913A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/248,787 US10592805B2 (en) 2016-08-26 2016-08-26 Physics modeling for radar and ultrasonic sensors

Publications (1)

Publication Number Publication Date
MX2017010913A true MX2017010913A (es) 2018-09-20

Family

ID=59996593

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2017010913A MX2017010913A (es) 2016-08-26 2017-08-24 Modelado fisico para sensores de radar y ultrasonicos.

Country Status (6)

Country Link
US (1) US10592805B2 (es)
CN (1) CN107784151B (es)
DE (1) DE102017119538A1 (es)
GB (1) GB2556368A (es)
MX (1) MX2017010913A (es)
RU (1) RU2017129873A (es)

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Publication number Publication date
CN107784151A (zh) 2018-03-09
GB2556368A (en) 2018-05-30
GB201713419D0 (en) 2017-10-04
DE102017119538A1 (de) 2018-03-01
CN107784151B (zh) 2023-06-30
RU2017129873A (ru) 2019-02-25
US10592805B2 (en) 2020-03-17
US20180060725A1 (en) 2018-03-01

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