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Laura Lindzey Phones & Addresses

  • Seattle, WA
  • Pittsburgh, PA
  • Austin, TX
  • Falmouth, MA
  • 4801 Fast Fox Trl, Austin, TX 78746

Work

Company: Stone aerospace May 1, 2014 Position: Roboticist

Education

Degree: Doctorates, Doctor of Philosophy School / High School: The University of Texas at Austin 2014 to 2019 Specialities: Philosophy

Skills

Matlab • C++ • Python • Ros • Robotics • Planning • Artificial Intelligence • Algorithms

Emails

Industries

Research

Resumes

Resumes

Laura Lindzey Photo 1

Software Engineer

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Location:
Austin, TX
Industry:
Research
Work:
Stone Aerospace
Roboticist

Google Jan 2014 - May 2014
Swe Intern

Robert Bosch Sep 2013 - Dec 2013
Robotics Research Intern

Carnegie Mellon University 2011 - 2012
Graduate Student - Canine Competition

Carnegie Mellon University Jan 2011 - May 2011
Teaching Assistant
Education:
The University of Texas at Austin 2014 - 2019
Doctorates, Doctor of Philosophy, Philosophy
Carnegie Mellon University 2008 - 2012
Master of Science, Masters, Robotics
Caltech 2003 - 2008
Bachelors, Bachelor of Science, Physics
Skills:
Matlab
C++
Python
Ros
Robotics
Planning
Artificial Intelligence
Algorithms

Publications

Us Patents

Planning Stopping Locations For Autonomous Vehicles

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US Patent:
20190193733, Jun 27, 2019
Filed:
Jan 2, 2019
Appl. No.:
16/238135
Inventors:
- Mountain View CA, US
Dmitri A. Dolgov - Los Altos CA, US
Nathaniel Fairfield - Mountain View CA, US
Laura Estelle Lindzey - Austin TX, US
Christopher Paul Urmson - Mountain View CA, US
International Classification:
B60W 30/18
G05D 1/02
G08G 1/00
G01C 21/34
G08G 1/0962
G08G 1/0967
G05D 1/00
Abstract:
Aspects of the disclosure relate to generating a speed plan for an autonomous vehicle. As an example, the vehicle is maneuvered in an autonomous driving mode along a route using pre-stored map information. This information identifies a plurality of keep clear regions where the vehicle should not stop but can drive through in the autonomous driving mode. Each keep clear region of the plurality of keep clear regions is associated with a priority value. A subset of the plurality of keep clear regions is identified based on the route. A speed plan for stopping the vehicle is generated based on the priority values associated with the keep clear regions of the subset. The speed plan identifies a location for stopping the vehicle. The speed plan is used to stop the vehicle in the location.

Planning Stopping Locations For Autonomous Vehicles

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US Patent:
20180105174, Apr 19, 2018
Filed:
Oct 14, 2016
Appl. No.:
15/293503
Inventors:
- Mountain View CA, US
Dmitri A. Dolgov - Los Altos CA, US
Nathaniel Fairfield - Mountain View CA, US
Laura Estelle Lindzey - Austin TX, US
Christopher Paul Urmson - Mountain View CA, US
International Classification:
B60W 30/18
G05D 1/00
G05D 1/02
Abstract:
Aspects of the disclosure relate to generating a speed plan for an autonomous vehicle. As an example, the vehicle is maneuvered in an autonomous driving mode along a route using pre-stored map information. This information identifies a plurality of keep clear regions where the vehicle should not stop but can drive through in the autonomous driving mode. Each keep clear region of the plurality of keep clear regions is associated with a priority value. A subset of the plurality of keep clear regions is identified based on the route. A speed plan for stopping the vehicle is generated based on the priority values associated with the keep clear regions of the subset. The speed plan identifies a location for stopping the vehicle. The speed plan is used to stop the vehicle in the location.
Laura E Lindzey from Seattle, WA, age ~38 Get Report