DONALD JASON BURNETTE
Pilots at Easy St, Mountain View, CA

License number
California A5074656
Issued Date
Jun 2012
Expiration Date
Jun 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
121 Easy St, Mountain View, CA 94043

Professional information

Donald Burnette Photo 1

Detecting Lane Markings

US Patent:
2013025, Sep 26, 2013
Filed:
Mar 23, 2012
Appl. No.:
13/427964
Inventors:
Donald Jason Burnette - Mountain View CA, US
David I. Ferguson - San Francisco CA, US
Assignee:
GOOGLE INC. - Mountain View CA
International Classification:
G05D 1/00, G06K 9/00
US Classification:
701 26, 382104
Abstract:
Aspects of the disclosure relate generally to detecting lane markers. More specifically, laser scan data may be collected by moving a laser along a roadway. The laser scan data may include data points describing the intensity and location information of objects within range of the laser. Each beam of the laser may be associated with a respective subset of data points. For a single beam, the subset of data points may be further divided into sections. For each section, the average intensity and standard deviation may be used to determine a threshold intensity. A set of lane marker data points may be generated by comparing the intensity of each data point to the threshold intensity for the section in which the data point appears and based on the elevation of the data point. This set may be stored for later use or otherwise made available for further processing.


Donald Burnette Photo 2

Removing Extraneous Objects From Maps

US Patent:
8565958, Oct 22, 2013
Filed:
Jun 2, 2011
Appl. No.:
13/151461
Inventors:
Michael Steven Montemerlo - Mountain View CA, US
Donald Jason Burnette - Mountain View CA, US
Andrew Chatham - New York NY, US
Daniel Trawick Egnor - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G01C 21/32, G09B 29/00, G05D 1/02
US Classification:
701 25, 701 28
Abstract:
Aspects of the present disclosure relate generally to safe and effective use of autonomous vehicles. More specifically, laser data including locations, intensities, and elevation data may be collected along a roadway in order to generate a 3D map of the roadway. In order to remove extraneous objects such as moving vehicles from the 3D map, a 2D grid of the roadway may be generated. The grid may include a plurality of cells, each representing an area of the roadway. The collected data may be sorted into the grid based on location and then evaluated to identify the lowest elevation of the cell. All data points above some threshold distance above this lowest elevation may be removed. The resulting data points may be used to generate a 3D map of the roadway which excludes the extraneous objects.