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1. WO2020197614 - IDENTIFYING AND/OR REMOVING FALSE POSITIVE DETECTIONS FROM LIDAR SENSOR OUTPUT

Publication Number WO/2020/197614
Publication Date 01.10.2020
International Application No. PCT/US2020/014205
International Filing Date 17.01.2020
IPC
G01S 7/48 2006.01
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
7Details of systems according to groups G01S13/, G01S15/, G01S17/127
48of systems according to group G01S17/58
G01S 17/86 2020.01
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
86Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
G01S 17/931 2020.01
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
93for anti-collision purposes
931of land vehicles
G01S 7/41 2006.01
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
7Details of systems according to groups G01S13/, G01S15/, G01S17/127
02of systems according to group G01S13/58
41using analysis of echo signal for target characterisation; Target signature; Target cross-section
G01S 13/86 2006.01
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
86Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
G01S 13/931 2020.01
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
93for anti-collision purposes
931of land vehicles
CPC
G01S 13/867
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
86Combinations of radar systems with non-radar systems, e.g. sonar, direction finder
867Combination of radar systems with cameras
G01S 13/931
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
93for anti-collision purposes
931of land vehicles
G01S 17/86
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
86Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
G01S 17/931
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
93for anti-collision purposes
931of land vehicles
G01S 7/417
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
7Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
02of systems according to group G01S13/00
41using analysis of echo signal for target characterisation; Target signature; Target cross-section
417involving the use of neural networks
G01S 7/4802
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
7Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
48of systems according to group G01S17/00
4802using analysis of echo signal for target characterisation; Target signature; Target cross-section
Applicants
  • PANOSENSE INC. [US]/[US]
Inventors
  • BHASKARAN, Sreevatsan
  • FERDOWSI, Mehran
  • MCMICHAEL, Ryan
  • SUBASINGHA, Subasingha, Shaminda
Agents
  • KONDRYSZYN, Yanek, A.
  • HARTMAN, Robert, G.
Priority Data
62/825,01127.03.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) IDENTIFYING AND/OR REMOVING FALSE POSITIVE DETECTIONS FROM LIDAR SENSOR OUTPUT
(FR) IDENTIFICATION ET/OU ÉLIMINATION DE DÉTECTIONS POSITIVES FAUSSES D'UNE SORTIE DE CAPTEUR LIDAR
Abstract
(EN)
A machine-learned (ML) model for detecting that depth data (e.g., lidar data, radar data) comprises a false positive attributable to particulate matter, such as dust, steam, smoke, rain, etc. The ML model may be trained based at least in part on simulated depth data generated by a fluid dynamics model and/or by collecting depth data during operation of a device (e.g., an autonomous vehicle. In some examples, an autonomous vehicle may identify depth data that may be associated with particulate matter based at least in part on an outlier region in a thermal image. For example, the outlier region may be associated with steam.
(FR)
La présente invention concerne un modèle appris par machine (ML) permettant de détecter que des données de profondeur (par exemple, des données lidar, des données radar) comprennent un faux positif attribuable à une matière particulaire, telle qu'une poussière, une vapeur, une fumée, la pluie, etc.. Le modèle ML peut être entraîné sur la base, au moins en partie, de données de profondeur simulées générées par un modèle de dynamique de fluide et/ou par la collecte de données de profondeur lors du fonctionnement d'un dispositif (parexemple un véhicule autonome. Dans certains exemples, un véhicule autonome peut identifier des données de profondeur qui peuvent être associées à une matière particulaire sur la base, au moins en partie, d'une région aberrante sur une image thermique. Par exemple, la région aberrante peut être associée à de la vapeur d'eau.
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