BackgroundCheck.run
Search For

Ananth Kini1061 Mallard Way #206A, Beverly Manor, IL 61571

Ananth Kini Phones & Addresses

1061 Mallard Way #206A, Washington, IL 61571   

Dunlap, IL   

5250 Knoxville Ave, Peoria, IL 61614    309-6922284   

5250 N Knoxville Ave #1, Peoria, IL 61614    309-6922284   

Mentions for Ananth Kini

Publications & IP owners

Us Patents

System And Method For Predicting And Responding To Soft Underfoot Conditions

US Patent:
2019002, Jan 24, 2019
Filed:
Jul 24, 2017
Appl. No.:
15/657627
Inventors:
- PEORIA IL, US
Sandesh GOWDA - West View PA, US
Ananth Purushotham KINI - Dunlap IL, US
Philip Carl WALLSTEDT - Washington IL, US
Kevin Anthony DAVIS - Washington IL, US
Assignee:
CATERPILLAR INC. - PEORIA IL
International Classification:
F16H 59/66
G01C 21/26
G08G 1/16
B60R 21/013
Abstract:
A soft underfoot conditions response system for use with a vehicle includes a plurality of sensors configured to transmit signals indicative of live data representing at least one of real time vehicle speed, vehicle acceleration, vehicle pose, vehicle payload, engine torque, engine power output, and engine RPM, and a controller communicatively coupled with the sensors. The controller is programmed to receive the live data, receive reference data representative of soft underfoot conditions from a database, and analyze the live data and the reference data. The controller determines a first set of parameters including measured real time values corresponding to wheel slip ratio and rolling resistance, vehicle speed, and vehicle pose, extracts from the reference data at least one of a first data subset containing vehicle operational parameters identified by an operator as being associated with soft underfoot conditions, and a second data subset containing data extracted using heuristics, and builds and trains a model for use by a classifier that segregates data subsets from the first set of parameters into a first classification that includes parameters that characterize surfaces with soft underfoot conditions, and a second classification that includes parameters that characterize surfaces without soft underfoot conditions. The controller also generates control command signals that cause a change in vehicle operational parameters to reduce or avoid any effects on operation of the vehicle associated with soft underfoot conditions.

Control System And Method For Anti-Lock Braking System For Autonomous Vehicle

US Patent:
2018031, Nov 8, 2018
Filed:
May 5, 2017
Appl. No.:
15/587578
Inventors:
- Peoria IL, US
Joshua Struble - Chillicothe IL, US
Ananth Kini - Dunlap IL, US
Kevin Davis - Washington IL, US
International Classification:
B60T 8/1761
B60T 7/12
B60T 8/172
B60T 8/1755
B60T 8/72
Abstract:
An anti-lock braking system for an autonomous vehicle includes a memory storing instructions relating to braking control, a detection system for detecting an event necessitating braking of the autonomous vehicle, and a controller. The controller is in communication with the detection system and is configured to execute the instructions to receive detection and identification of the event, determine a vehicle deceleration rate based on the identification of the event, and operate the anti-lock braking system in a selected mode of a plurality of different predetermined operating modes based on the vehicle deceleration rate.

Work Surface Failure Prediction And Notification System

US Patent:
2018000, Jan 4, 2018
Filed:
Jun 30, 2016
Appl. No.:
15/199109
Inventors:
- Peoria IL, US
Joshua C. Struble - Chillicothe IL, US
Ananth P. Kini - Dunlap IL, US
Assignee:
Caterpillar Inc. - Peoria IL
International Classification:
G01V 11/00
G08B 21/18
G01B 21/20
Abstract:
A failure prediction and notification system for a work surface that has a raised contour includes a perception sensor mounted on a machine and a controller. The controller determines an initial physical characteristic of the initial topography of the work surface adjacent the raised contour, generates an electronic map of a current topography of the work surface based at least partially on the raw data points, and determines a current physical characteristic of the current topography. The controller further determines a difference between the current physical characteristic and the initial physical characteristic, compares the difference to a characteristic difference threshold, and generates an alert upon the difference exceeding the characteristic difference threshold.

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.