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Ramchandra G Karandikar

age ~36

from Sunnyvale, CA

Also known as:
  • Ramchandra A
  • Mario Rodriguezfimbres

Ramchandra Karandikar Phones & Addresses

  • Sunnyvale, CA
  • San Francisco, CA
  • Goleta, CA
  • Los Angeles, CA

Work

  • Company:
    Intouch health
    Aug 2011
  • Address:
    Santa Barbara
  • Position:
    Software engineer

Education

  • Degree:
    M.S
  • School / High School:
    University of Southern California
    2011
  • Specialities:
    Computer Science (Intelligent Robotics)

Skills

Algorithms • Python • Programming • Computer Vision • Artificial Intelligence • Oop • Java • Robotics • Javascript • C • C++ • Html • Xml • Unix • Operating Systems • Computer Science • Opencv • Data Structures • Sql • Mysql • Software Engineering • Computer Graphics • Scalability • Testing • Php • Linux • Matlab • Perl

Languages

English • Hindi • Marathi

Industries

Automotive

Resumes

Ramchandra Karandikar Photo 1

Research Engineer - Autonomous Vehicles

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Location:
San Francisco, CA
Industry:
Automotive
Work:
InTouch Health - Santa Barbara since Aug 2011
Software engineer
Education:
University of Southern California 2011
M.S, Computer Science (Intelligent Robotics)
University of Mumbai 2005 - 2009
BE, Information Technology
Skills:
Algorithms
Python
Programming
Computer Vision
Artificial Intelligence
Oop
Java
Robotics
Javascript
C
C++
Html
Xml
Unix
Operating Systems
Computer Science
Opencv
Data Structures
Sql
Mysql
Software Engineering
Computer Graphics
Scalability
Testing
Php
Linux
Matlab
Perl
Languages:
English
Hindi
Marathi

Us Patents

  • Graphical User Interfaces Including Touchpad Driving Interfaces For Telemedicine Devices

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  • US Patent:
    20230080227, Mar 16, 2023
  • Filed:
    Nov 22, 2022
  • Appl. No.:
    17/992074
  • Inventors:
    - Purchase NY, US
    - Bedford MA, US
    Mei Sheng Ng - Santa Barbara CA, US
    Yair Lurie - Santa Barbara CA, US
    Fuji Lai - Goleta CA, US
    Timothy C. Wright - Santa Barbara CA, US
    Cody Herzog - Santa Barbara CA, US
    Blair Whitney - Santa Barbara CA, US
    Bill Rizzi - Santa Barbara CA, US
    James Ballantyne - Santa Barbara CA, US
    Yulun Wang - Goleta CA, US
    Cheuk Wah Wong - Concord MA, US
    Justin H. Kearns - Los Angeles CA, US
    Orjeta Taka - Los Angeles CA, US
    Ramchandra Karandikar - Goleta CA, US
  • International Classification:
    G16H 80/00
    H04N 7/14
    G06Q 10/10
    G06F 3/04847
    G16Z 99/00
    G06F 3/04883
    G16H 40/63
    G16H 40/67
  • Abstract:
    The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.
  • Vehicle Pose Detection With Fiducial Marker

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  • US Patent:
    20210158564, May 27, 2021
  • Filed:
    Nov 21, 2019
  • Appl. No.:
    16/690465
  • Inventors:
    - Dearborn MI, US
    Ramchandra Ganesh Karandikar - Palo Alto CA, US
  • Assignee:
    Ford Global Technologies, LLC - Dearborn MI
  • International Classification:
    G06T 7/73
    G06K 7/14
    G01C 21/30
  • Abstract:
    Based on an image from a stationary sensor, a marker displayed on one or more digital displays on a vehicle is detected. A first location and a first orientation of the marker in a coordinate system is determined by analyzing on pixels in the image. Based on a stationary sensor location and orientation from a map, a second location and a second orientation of the vehicle in the coordinate system is determined.
  • Graphical User Interfaces Including Touchpad Driving Interfaces For Telemedicine Devices

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  • US Patent:
    20210151201, May 20, 2021
  • Filed:
    Jan 11, 2021
  • Appl. No.:
    17/146306
  • Inventors:
    - Santa Barbara CA, US
    - Bedford MA, US
    Mei Sheng Ng - Santa Barbara CA, US
    Yair Lurie - Santa Barbara CA, US
    Fuji Lai - Goleta CA, US
    Timothy C. Wright - Santa Barbara CA, US
    Cody Herzog - Santa Barbara CA, US
    Blair Whitney - Santa Barbara CA, US
    Bill Rizzi - Santa Barbara CA, US
    James Ballantyne - Santa Barbara CA, US
    Yulun Wang - Goleta CA, US
    Cheuk Wah Wong - Concord MA, US
    Justin H. Kearns - Los Angeles CA, US
    Orjeta Taka - Los Angeles CA, US
    Ramchandra Karandikar - Goleta CA, US
  • International Classification:
    G16H 80/00
    H04N 7/14
    G06Q 10/10
    G06F 3/0484
    G16Z 99/00
    G06F 3/0488
    G16H 40/63
    G16H 40/67
  • Abstract:
    The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.
  • Graphical User Interfaces Including Touchpad Driving Interfaces For Telemedicine Devices

    view source
  • US Patent:
    20200273565, Aug 27, 2020
  • Filed:
    May 13, 2020
  • Appl. No.:
    15/931451
  • Inventors:
    - Santa Barbara CA, US
    Andy Young - Santa Barbara CA, US
    Mei Sheng Ng - Santa Barbara CA, US
    Yair Lurie - Santa Barbara CA, US
    Fuji Lai - Goleta CA, US
    Timothy C. Wright - Santa Barbara CA, US
    Cody Herzog - Santa Barbara CA, US
    Blair Whitney - Santa Barbara CA, US
    Bill Rizzi - Santa Barbara CA, US
    James Ballantyne - Santa Barbara CA, US
    Yulun Wang - Goleta CA, US
    Cheuk Wah Wong - Concord MA, US
    Justin H. Kearns - Somerville MA, US
    Orjeta Taka - Los Angeles CA, US
    Ramchandra Karandikar - Goleta CA, US
  • International Classification:
    G16H 40/63
    G06F 3/0484
    G06F 3/0488
    G06Q 10/10
    G16Z 99/00
    H04N 7/14
    G16H 40/67
  • Abstract:
    The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.
  • Passive Sound Source Classification And Localization

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  • US Patent:
    20190277986, Sep 12, 2019
  • Filed:
    Mar 8, 2018
  • Appl. No.:
    15/916093
  • Inventors:
    - Dearborn MI, US
    Alexander Groh - Detroit MI, US
    Ramchandra Karandikar - Sunnyvale CA, US
  • International Classification:
    G01V 1/00
    G10K 11/26
    G10K 11/00
  • Abstract:
    A method for processing audible sounds using ultrasonic sensors. The method includes passively monitoring, via ultrasonic sensors, an external environment for a audible sounds. An audible sound may be detected and used to produce a sound signal. The sound signal may be filtered to determine one or more features corresponding thereto, including a class, a position, and a velocity. A priority may be assigned to the sound signal based on the sound signal to determine an appropriate response. A corresponding system and computer program product are also disclosed and claimed herein.
  • Graphical User Interfaces Including Touchpad Driving Interfaces For Telemedicine Devices

    view source
  • US Patent:
    20190066839, Feb 28, 2019
  • Filed:
    Jul 25, 2018
  • Appl. No.:
    16/045608
  • Inventors:
    - Goleta CA, US
    - Bedford MA, US
    Mei Sheng Ng - Santa Barbara CA, US
    Yair Lurie - Santa Barbara CA, US
    Fuji Lai - Goleta CA, US
    Timothy C. Wright - Santa Barbara CA, US
    Cody Herzog - Santa Barbara CA, US
    Blair Whitney - Santa Barbara CA, US
    Bill Rizzi - Santa Barbara CA, US
    James Ballantyne - Santa Barbara CA, US
    Yulun Wang - Goleta CA, US
    Cheuk Wah Wong - Bedford MA, US
    Justin Kearns - Somerville MA, US
    Orjeta Taka - Bedford MA, US
    Ramchandra Karandikar - Goleta CA, US
  • International Classification:
    G16H 40/63
    H04N 7/14
    G06Q 10/10
    G16H 40/67
    G06F 19/00
    G06F 3/0488
    G06F 3/0484
    G06Q 50/22
  • Abstract:
    The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote telepresence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.
  • Detecting And Responding To Emergency Vehicles In A Roadway

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  • US Patent:
    20180137756, May 17, 2018
  • Filed:
    Nov 17, 2016
  • Appl. No.:
    15/354601
  • Inventors:
    - Dearborn MI, US
    Parsa Mahmoudieh - Vallejo CA, US
    Scott Vincent Myers - Camarillo CA, US
    Ramchandra Ganesh Karandikar - Sunnyvale CA, US
  • International Classification:
    G08G 1/0967
    G08G 1/16
    G05D 1/00
  • Abstract:
    The present invention extends to methods, systems, and computer program products for detecting and responding to emergency vehicles in a roadway. Aspects of the invention can be used to detect emergency vehicles and properly yield to emergency vehicles depending on roadway configuration. A vehicle includes a plurality of sensors. The vehicle also includes vehicle to vehicle (V2V) communication capabilities and has access to map data. Sensor data from the plurality of sensors along with map data is provided as input to a neural network (either in the vehicle or in the cloud). Based on sensor data, the neural network detects when one or more emergency vehicles are approaching the vehicle. From a roadway configuration, a vehicle can use the plurality of sensors to automatically (and safely) yield to detected emergency vehicle(s). Automatically yielding can include one or more of: slowing down, changing lanes, stopping, etc.
  • Pedestrian Detection When A Vehicle Is Reversing

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  • US Patent:
    20180009378, Jan 11, 2018
  • Filed:
    Jul 8, 2016
  • Appl. No.:
    15/205701
  • Inventors:
    - Dearborn MI, US
    Alexandru Mihai Gurghian - Palo Alto CA, US
    Ashley Elizabeth Micks - Mountain View CA, US
    Ramchandra Ganesh Karandikar - Sunnyvale CA, US
  • International Classification:
    B60R 1/00
    G08G 1/16
    B60Q 9/00
    H04N 7/18
  • Abstract:
    Techniques and implementations pertaining to detection of moving objects, such as pedestrians, when a vehicle moves in a rearward direction are described. A method may involve identifying a region of interest when a vehicle moves in a rearward direction. The method may involve detecting a moving object in the region of interest. The method may also involve determining whether a collision with the moving object by the vehicle moving in the rearward direction is likely. The method may further involve providing a human-perceivable signal responsive to a determination that the collision is likely.

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