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Pradeepa Nagarajan Phones & Addresses

  • Bothell, WA
  • Schaumburg, IL
  • Hoffman Estates, IL
  • Chicago, IL

Resumes

Resumes

Pradeepa Nagarajan Photo 1

Pradeepa Kavindapadi Nagarajan Chicago, IL

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Work:
Cognizant Technology Solutions (P) Ltd
Chennai, Tamil Nadu
Jun 2011 to May 2012
Programmer Analyst Trainee

Kongu Engineering College
Erode, Tamil Nadu
Jun 2009 to May 2010
Member of Web development Team

Steel Authority of India Limited
Salem, Tamil Nadu
Jun 2008 to Aug 2008
Trainee - Database Administration

Education:
University of Illinois at Chicago
Chicago, IL
2012 to 2013
Master of Science in Computer Science

Anna University
Coimbatore, Tamil Nadu
2007 to 2011
Bachelor of Technology in Information Technology

Skills:
Java Developer , QA Analyst, Software Developer
Pradeepa Nagarajan Photo 2

Pradeepa Kavindapadi Nagarajan Chicago, IL

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Work:
Cognizant Technology Solutions (P) Ltd
Chennai, Tamil Nadu
Jun 2011 to May 2012
Programmer Analyst Trainee

Kongu Engineering College

Jun 2009 to May 2010
Member of Web development Team

Sail Authority of India Limited

Jun 2008 to Aug 2008
Salem, India (Trainee - Database Administration)

Education:
University of Illinois at Chicago
Chicago, IL
2012 to 2014
Master of Science in Computer Science

Anna University
Coimbatore, Tamil Nadu
Jun 2007 to May 2011
Bachelor of Technology in Information Technology

Publications

Us Patents

Method, Apparatus, And System For Determining A Negative Observation Of A Road Feature

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US Patent:
20190325236, Oct 24, 2019
Filed:
Apr 19, 2018
Appl. No.:
15/957559
Inventors:
- Eindhoven, NL
Leon STENNETH - Chicago IL, US
Prashant CHAUHAN - Mount Prospect IL, US
Lakshmi NOOKALA - Arlington Heights IL, US
Pradeepa Kavindapadi NAGARAJAN - Chicago IL, US
Yu Yang BAI - Chicago IL, US
International Classification:
G06K 9/00
G06F 17/30
G06N 99/00
G06K 9/62
Abstract:
An approach is provided for determining a negative observation of a road feature (e.g., traffic sign). The approach involves, for example, querying a spatial data structure for a set of location points based on a spatial radius around a location of the road feature. The spatial data structure stores a plurality of location points from a plurality of location traces that did not have a road feature observation. The approach also involves map matching each location trace in the set of location points to a matched path of road links. The approach further involves determining that said each location trace is a negative observation of the road feature based on determining that the location of the road feature falls between two map-matched location points of said each location trace that are on the matched path of road links.
Pradeepa Kavindapadi Nagarajan from Bothell, WA, age ~34 Get Report