WO2016118672A3 - Real time machine vision and point-cloud analysis for remote sensing and vehicle control - Google Patents

Real time machine vision and point-cloud analysis for remote sensing and vehicle control Download PDF

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Publication number
WO2016118672A3
WO2016118672A3 PCT/US2016/014196 US2016014196W WO2016118672A3 WO 2016118672 A3 WO2016118672 A3 WO 2016118672A3 US 2016014196 W US2016014196 W US 2016014196W WO 2016118672 A3 WO2016118672 A3 WO 2016118672A3
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WO
WIPO (PCT)
Prior art keywords
data
point
vehicle
data analysis
real time
Prior art date
Application number
PCT/US2016/014196
Other languages
French (fr)
Other versions
WO2016118672A2 (en
Inventor
Fabien Chraim
Shanmukha PUTTAGUNTA
Anuj Gupta
Scott Harvey
Jason CREADORE
Graham Mills
Original Assignee
Solfice Research, Inc.
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 Solfice Research, Inc. filed Critical Solfice Research, Inc.
Priority to JP2017556798A priority Critical patent/JP2018508418A/en
Priority to EP16740714.7A priority patent/EP3248140A4/en
Priority to CN201680006431.6A priority patent/CN107533630A/en
Publication of WO2016118672A2 publication Critical patent/WO2016118672A2/en
Publication of WO2016118672A3 publication Critical patent/WO2016118672A3/en

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/34Control, warning or like safety means along the route or between vehicles or trains for indicating the distance between vehicles or trains by the transmission of signals therebetween
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning or like safety means along the route or between vehicles or trains
    • B61L23/04Control, warning or like safety means along the route or between vehicles or trains for monitoring the mechanical state of the route
    • B61L23/041Obstacle detection
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L25/00Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
    • B61L25/02Indicating or recording positions or identities of vehicles or trains
    • B61L25/025Absolute localisation, e.g. providing geodetic coordinates
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L25/00Recording or indicating positions or identities of vehicles or trains or setting of track apparatus
    • B61L25/02Indicating or recording positions or identities of vehicles or trains
    • B61L25/026Relative localisation, e.g. using odometer
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L27/00Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
    • B61L27/04Automatic systems, e.g. controlled by train; Change-over to manual control
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L3/00Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal
    • B61L3/02Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control
    • B61L3/08Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control controlling electrically
    • B61L3/12Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control controlling electrically using magnetic or electrostatic induction; using radio waves
    • B61L3/127Devices along the route for controlling devices on the vehicle or train, e.g. to release brake or to operate a warning signal at selected places along the route, e.g. intermittent control simultaneous mechanical and electrical control controlling electrically using magnetic or electrostatic induction; using radio waves for remote control of locomotives
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO 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
    • G01S17/00Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88Lidar systems specially adapted for specific applications
    • G01S17/93Lidar systems specially adapted for specific applications for anti-collision purposes
    • G01S17/931Lidar systems specially adapted for specific applications for anti-collision purposes of land vehicles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/10Terrestrial scenes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/59Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L2205/00Communication or navigation systems for railway traffic
    • B61L2205/04Satellite based navigation systems, e.g. global positioning system [GPS]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/02Recognising information on displays, dials, clocks

Landscapes

  • Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Electromagnetism (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Train Traffic Observation, Control, And Security (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Electric Propulsion And Braking For Vehicles (AREA)

Abstract

Methods and apparatus for real time machine vision and point-cloud data analysis are provided, for remote sensing and vehicle control. Point cloud data can be analyzed via scalable, centralized, cloud computing systems for extraction of asset information and generation of semantic maps. A data storage / preprocessor (1220) subdivides a data set for streaming to a distributed processing unit (1240) and operation via data analysis mechanisms (1250). The output of the processing unit (1240) is aggregated by a map generator (1230). Machine learning components can optimize data analysis mechanisms to improve asset and feature extraction from sensor data. Optimized data analysis mechanisms can be downloaded to vehicles for use in on-board systems analyzing vehicle sensor data. Semantic map data can be used locally in vehicles, along with onboard sensors, to derive precise vehicle localization and provide input to vehicle to control systems.
PCT/US2016/014196 2015-01-20 2016-01-20 Real time machine vision and point-cloud analysis for remote sensing and vehicle control WO2016118672A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2017556798A JP2018508418A (en) 2015-01-20 2016-01-20 Real-time machine vision and point cloud analysis for remote sensing and vehicle control
EP16740714.7A EP3248140A4 (en) 2015-01-20 2016-01-20 Real time machine vision and point-cloud analysis for remote sensing and vehicle control
CN201680006431.6A CN107533630A (en) 2015-01-20 2016-01-20 For the real time machine vision of remote sense and wagon control and put cloud analysis

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562105696P 2015-01-20 2015-01-20
US62/105,696 2015-01-20

Publications (2)

Publication Number Publication Date
WO2016118672A2 WO2016118672A2 (en) 2016-07-28
WO2016118672A3 true WO2016118672A3 (en) 2016-10-20

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2016/014196 WO2016118672A2 (en) 2015-01-20 2016-01-20 Real time machine vision and point-cloud analysis for remote sensing and vehicle control

Country Status (4)

Country Link
EP (1) EP3248140A4 (en)
JP (1) JP2018508418A (en)
CN (1) CN107533630A (en)
WO (1) WO2016118672A2 (en)

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EP3248140A4 (en) 2018-12-05
JP2018508418A (en) 2018-03-29
CN107533630A (en) 2018-01-02
EP3248140A2 (en) 2017-11-29
WO2016118672A2 (en) 2016-07-28

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