Search

Anup C Mantri

from San Francisco, CA
Age ~44
Get Report
Also known as:
Antrie M Anup
Phone and address:
3352 18Th St APT 1, San Francisco, CA 94110
Connected to:
Girish Mantri, 49Girish R Mantri, 49Sandra M Mantri, 57Sanjay Mantri, 51Sheela Mantri, 84Shweta N Mantri, 44Krishna R Mantripragada, 45Deepak K Mantry, 44Heidi E Mantsch, 107John L Mantsch, 73

Anup Mantri Phones & Addresses

  • 3352 18Th St APT 1, San Francisco, CA 94110
  • Mountain View, CA
  • Troy, NY
  • Lee, NH
  • Northglenn, CO
  • Ann Arbor, MI

Resumes

Resumes

Anup Mantri Photo 1

Anup Mantri

View page
Location:
San Francisco, CA
Industry:
Computer Software
Skills:
Image Processing
Algorithms
Machine Learning
Software Engineering
Anup Mantri Photo 2

Anup Mantri

View page
Location:
San Francisco, CA
Industry:
Computer Software
Skills:
Image Processing
Algorithms
Machine Learning
Software Engineering

Publications

Us Patents

Automated Identification Of Anomalous Map Data

View page
US Patent:
20150153183, Jun 4, 2015
Filed:
Oct 5, 2011
Appl. No.:
13/253942
Inventors:
Mohammed Waleed Kadous - Sunnyvale CA, US
Joakim Kristian Olle Arfvidsson - Mountain View CA, US
Anup Mantri - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/00
G01C 21/26
G01C 21/34
Abstract:
An autocheck module of a map system is configured to automatically identify anomalous conditions within map data that may indicate an error within the data. The identification of the anomalous conditions is accomplished by application of different autocheck types to the map data, each autocheck type representing a class of anomalies and being triggered if particular map data exhibits the anomalous condition associated with the autocheck type. In one embodiment, for at least some of the portions of map data that trigger an autocheck type, an issue entry is created in an issue database, the issue entry referencing the autocheck type that was triggered, the map data that triggered it, and any associated data of relevance for the particular autocheck type in question.

Crowdsourcing Method To Detect Broken Wifi Indoor Locationing Model

View page
US Patent:
20150018003, Jan 15, 2015
Filed:
Jul 9, 2013
Appl. No.:
13/937378
Inventors:
- Mountain View CA, US
Anup Mantri - Mountain View CA, US
International Classification:
H04W 4/04
US Classification:
4554561
Abstract:
Aspects of the present disclosure provide techniques for detecting breaks in a wireless network data model. An exemplary method includes determining neighboring access points from scans of network access points in a space. Each neighboring access point occurs together in a scan of a particular level of the space. Wireless data is received from a plurality of mobile devices moving through a space. A set of all access points for the space is identified based on the wireless data. A ratio is derived based on a difference between the neighboring access points and the set of all access points. The ratio represents a percentage of missing access points for the particular level of the space.
Control profile
Anup C Mantri from San Francisco, CA, age ~44 Get Report