Evan Mikel Lapisky

age ~45

from Wakefield, RI

Also known as:
  • Evan M Lapisky
  • Evan M Lapinsky
  • Evan Y
Phone and address:
241 Cedar Hollow Rd, Wakefield, RI 02879

Evan Lapisky Phones & Addresses

  • 241 Cedar Hollow Rd, Wakefield, RI 02879
  • South Kingstown, RI
  • 130 Ricci Ln, North Kingstown, RI 02852

Work

  • Position:
    Professional/Technical

Education

  • Degree:
    Associate degree or higher
Name / Title
Company / Classification
Phones & Addresses
Evan Lapisky
Software Engineering Manager
FarSounder
Maritime · Design And Production Of Sonar · Mfg Search/Navigation Equipment
151 Lavan St, Warwick, RI 02888
43 Jefferson Blvd, Warwick, RI 02888
4017846700
Evan Lapisky
Engineering-Research & Development Manager
Allied Consulting Engineering
Engineering Services
151 Lavan St, Warwick, RI 02888
43 Jefferson Blvd, Warwick, RI 02888
4014617888

Us Patents

  • Processing Technique For Forward Looking Sonar

    view source
  • US Patent:
    20050007880, Jan 13, 2005
  • Filed:
    Jun 1, 2004
  • Appl. No.:
    10/856871
  • Inventors:
    Matthew Zimmerman - Providence RI, US
    Matthew Coolidge - Narragansett RI, US
    Evan Lapisky - Narragansett RI, US
  • International Classification:
    G01S015/00
  • US Classification:
    367103000
  • Abstract:
    A processing technique and transducer field of view architecture for use as part of an imaging sonar system to develop three-dimensional images of the space below, to the sides, and forward of a ship.
  • 3-D Sonar System

    view source
  • US Patent:
    20070159922, Jul 12, 2007
  • Filed:
    Oct 16, 2006
  • Appl. No.:
    11/581626
  • Inventors:
    Matthew Zimmerman - Providence RI, US
    Matthew Coolidge - Providence RI, US
    Evan Lapisky - Narragansett RI, US
  • International Classification:
    G01S 15/00
  • US Classification:
    367103000
  • Abstract:
    A 3-dimensional sonar system having a fixed frame of reference including a transmitter and receiver array. The system may include a single ping processor for processing received echoes from a single transmission including methods to match filter sonar sensor data, to optionally compensate for self Doppler, beamform sonar sensor data, to extract bottom targets from beamformed data and to extract in-water targets from the beamformed data. The system may also include a multi ping processor to operate on the outputs of multiple pings from the single ping processor including methods to detect tracks from in-water targets.
  • Three-Dimensional Forward-Looking Sonar Target Recognition With Machine Learning

    view source
  • US Patent:
    20200379104, Dec 3, 2020
  • Filed:
    Mar 5, 2020
  • Appl. No.:
    16/809983
  • Inventors:
    - Warwick RI, US
    Heath Henley - Warwick RI, US
    Austin Berard - North Smithfield RI, US
    Evan Lapisky - South Kingstown RI, US
  • International Classification:
    G01S 15/04
    G01S 7/52
    G01S 15/89
    G01S 7/53
  • Abstract:
    Machine learning algorithms can interpret three-dimensional sonar data to provide more precise and accurate determination of seafloor depths and in-water target detection and classification. The models apply architectures for interpreting volumetric data to three-dimensional forward-looking sonar data. A baseline set of training data is generated using traditional image and signal processing techniques, and used to train and evaluate a machine learning model, which is further improved by additional inputs to improve both seafloor and in-water target detection.

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