Search

Rini Sherony

from Ann Arbor, MI
Age ~54
Get Report
Also known as:
Roy Rini, Rini Roy, Rini Y
Phone and address:
3142 Bridgefield Dr, Ann Arbor, MI 48108
(734) 973-1760
Related to:
Shalini Roy, 25Michael B Sherony, 43Bruce Sherony, 79Cheryl Sherony, 76
Connected to:
Linda L Sherony, 64Haley Sheroski, 39Renee M Sheroski, 65Glenda Sherouse, 61Lexie J Sherouse, 39Alisa M Sherow, 66Tamar Sherozia, 45Bishal L Sherpa, 48Chhongba Sherpa, 64

Rini Sherony Phones & Addresses

  • 3142 Bridgefield Dr, Ann Arbor, MI 48108 (734) 973-1760
  • Woodbridge, VA
  • Vienna, VA
  • 5968 Cayman Blvd, Ypsilanti, MI 48197 (734) 434-1760
  • Algonac, MI
  • Brighton, MI

Work

Company: Toyota Jan 1998 Address: Ann Arbor, Michigan Position: Principal engineer

Education

Degree: Master's in Science School / High School: Kettering University Specialities: Electrical and Electronics Engineering

Skills

Vehicles • Engineering Management • Continuous Improvement • Automotive • Root Cause Analysis • Engineering • Kaizen • Automotive Engineering • Project Management • Product Development • Cross Functional Team Leadership • Electronics • Product Design • Driver Assistance Systems • Crash Data • Public Speaking

Industries

Automotive

Resumes

Resumes

Rini Sherony Photo 1

Senior Principal Engineer

View page
Location:
Ann Arbor, MI
Industry:
Automotive
Work:
Toyota - Ann Arbor, Michigan since Jan 1998
Principal Engineer
Education:
Kettering University
Master's in Science, Electrical and Electronics Engineering
Skills:
Vehicles
Engineering Management
Continuous Improvement
Automotive
Root Cause Analysis
Engineering
Kaizen
Automotive Engineering
Project Management
Product Development
Cross Functional Team Leadership
Electronics
Product Design
Driver Assistance Systems
Crash Data
Public Speaking

Publications

Us Patents

Crash Prediction Network With Graded Warning For Vehicle

View page
US Patent:
7565231, Jul 21, 2009
Filed:
Mar 22, 2006
Appl. No.:
11/386125
Inventors:
Rini Sherony - Ann Arbor MI, US
Risto P. Miikkulainen - Austin TX, US
Kenneth O. Stanley - Orlando FL, US
Nathaniel F. Kohl - Austin TX, US
Assignee:
The Board of Regents, The University of Texas System - Austin TX
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
B60R 22/00
G06F 15/18
US Classification:
701 45, 701 96, 701301, 340903, 706 21
Abstract:
A method for facilitating the avoidance of a vehicle collision with an object includes the following steps: a) providing a neural network, b) evolving a good driver, c) evolving a crash predictor, and d) outputting a graded warning signal.

Crash Prediction Network With Visual Input For Vehicle

View page
US Patent:
7613569, Nov 3, 2009
Filed:
Jul 18, 2006
Appl. No.:
11/458261
Inventors:
Rini Sherony - Ypsilanti MI, US
Risto P. Miikkulainen - Austin TX, US
Kenneth O. Stanley - Orlando FL, US
Nathaniel F. Kohl - Austin TX, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
The Board of Regents, The University of Texas System - Austin TX
International Classification:
G08G 1/16
G06G 7/78
US Classification:
701301, 701300, 340435, 340436, 340438, 340439, 340901, 280735
Abstract:
A method for facilitating the avoidance of a vehicle collision with an object includes the following steps: a) providing an environment for generating training examples, b) evolving a good driver using a visual input, c) evolving a crash predictor using a visual input, and d) outputting a warning signal.

System For Producing An Adaptive Driving Strategy Based On Emission Optimization

View page
US Patent:
8145376, Mar 27, 2012
Filed:
Feb 16, 2009
Appl. No.:
12/371815
Inventors:
Rini Sherony - Ann Arbor MI, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
G01C 22/00
US Classification:
701 23, 701 25, 701 26, 701 29
Abstract:
The system includes a road scenario sensor, a vehicle control unit, and a computer processing unit. The road scenario sensor detects upcoming road scenarios for the system vehicle. The computer processing unit receives an input from the road scenario sensor and determines a upcoming driving event based upon the detected upcoming road scenarios. The computer processing unit compares the upcoming driving event with an ideal emissions model having acceptable emission thresholds to determine an adaptive driving strategy. The adaptive driving strategy configures the system vehicle to reduce emissions for the upcoming driving event. The adaptive driving strategy optionally includes an optimal acceleration rate and/or an optimal power management strategy. The optimal acceleration rate is based upon the required speed of the vehicle at the upcoming driving event and the distance from the vehicle to the upcoming driving event, and the ideal emissions model having acceptable emission thresholds.

Vehicle Collision Warning System

View page
US Patent:
20060178830, Aug 10, 2006
Filed:
Feb 10, 2005
Appl. No.:
11/055218
Inventors:
Rini Sherony - Ypsilanti MI, US
International Classification:
G01S 1/00
US Classification:
701301000, 340903000, 340436000
Abstract:
An apparatus for facilitating avoidance of a vehicle collision with an object, comprises a vision sensor providing image data, and an image analyzer, operable to provide an estimated time to collision of the vehicle with the object. The estimated time to collision is determined from a rate of expansion of an image element corresponding to the object within the image data, and the apparatus provides a warning if the estimated time to collision is less than or approximately equal to a predetermined time.

Objection Detection By Robot Using Sound Localization And Sound Based Object Classification Bayesian Network

View page
US Patent:
20070038448, Feb 15, 2007
Filed:
Aug 12, 2005
Appl. No.:
11/202531
Inventors:
Rini Sherony - Ann Arbor MI, US
International Classification:
G10L 15/00
US Classification:
704240000
Abstract:
An object detection system includes at least one sound receiving element, a processing unit, a storage element and a sound database. The sound receiving element receives sound waves emitted from an object. The sound receiving element transforms the sound waves into a signal. The processing unit receives the signal from the sound receiving unit. The sound database is stored in the storage element. The sound database includes a plurality of sound types and a plurality of attributes associated with each sound type. Each attribute has a predefined value. Each sound type is associated with each attribute in accordance with Bayesian's rule, such that a conditional probability of each sound type is defined for an occurrence of each attribute.

Lane Departure Warning System

View page
US Patent:
20120206252, Aug 16, 2012
Filed:
Feb 16, 2011
Appl. No.:
13/029078
Inventors:
Rini Sherony - Ann Arbor MI, US
Hideki Hada - Ann Arbor MI, US
Assignee:
TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC. - Erlanger KY
International Classification:
B60Q 1/00
US Classification:
340438
Abstract:
Devices, methods and systems are disclosed herein to describe a lane departure warning system that warns the driver that the vehicle is about to leave a current lane and enter an adjacent lane. The driver of the vehicle is identified, and a corresponding profile is accessed. The driver's pupils may be measured and compared to pupil size data stored in the accessed profile. If the difference in pupil size exceeds a certain threshold, then the vehicle may activate a passive lane departure detector that warns the driver each time the vehicle is getting too close to an adjacent lane, thus alerting the driver that the vehicle may be unintentionally drifting into the next lane. Additional driving tendencies, such as steering angles and braking force, may also be used to determine whether the driver may benefit from lane departure assistance and whether to trigger activation of the lane departure detector.

Personalized Active Safety Systems

View page
US Patent:
20180257642, Sep 13, 2018
Filed:
Mar 10, 2017
Appl. No.:
15/455610
Inventors:
- Erlanger KY, US
Rini Sherony - Ann Arbor MI, US
Assignee:
Toyota Motor Engineering & Manufacturing North America, Inc. - Erlanger KY
International Classification:
B60W 30/08
B60W 30/12
B60W 10/18
B60W 40/09
B60W 50/10
B60W 50/14
B60W 10/30
Abstract:
An assembly for changing at least one safety feature predefined setting associated with at least one vehicular active safety system includes a computer and a human-machine interface. The computer is configured to change the at least one safety feature predefined setting based on a driver choice. The at least one safety feature predefined setting is selected from the group consisting of a response type and a response timing. The human-machine interface includes an output and an input. The output is configured to provide a driver with a range of customizable settings for the at least one safety feature predefined setting. The input is configured to accept at least one customizable setting chosen by the driver such that the at least one safety feature predefined setting is changed to the at least one customizable setting.

Driver And Vehicle Monitoring Feedback System For An Autonomous Vehicle

View page
US Patent:
20180118219, May 3, 2018
Filed:
Oct 27, 2016
Appl. No.:
15/335533
Inventors:
- Erlanger KY, US
Rini Sherony - Ann Arbor MI, US
Tina Brunetti Sayer - Ann Arbor MI, US
Joshua E. Domeyer - Ann Arbor MI, US
John Marcoux - Ypsilanti MI, US
Miles J. Johnson - Ann Arbor MI, US
Assignee:
TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC. - Erlanger KY
International Classification:
B60W 40/09
B60W 50/14
G05D 1/00
G05D 1/02
Abstract:
A feedback server includes a processing circuitry configured to determine an actual driving performance of a driver in a manual driving mode and a projected driving performance if the vehicle had been operated in an autonomous driving mode, compare the driving performance in the manual driving mode and the autonomous driving mode, and transmit a feedback to the driver based on the comparison. The processing circuitry can be further configured to determine a driver state of the driver in the manual driving mode, determine environmental driving condition of the vehicle, and establish a baseline behavior of the driver as a function of the driver state and the environmental driving condition.
Control profile
Rini Sherony from Ann Arbor, MI, age ~54 Get Report