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US Patent 9315192 Methods and systems for pedestrian avoidance using LIDAR

Patent 9315192 was granted and assigned to Google on April, 2016 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
1

Patent attributes

Patent Applicant
Google
Google
1
Current Assignee
Google
Google
1
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
93151921
Patent Inventor Names
Jiajun Zhu1
Peter Morton1
Date of Patent
April 19, 2016
1
Patent Application Number
140411211
Date Filed
September 30, 2013
1
Patent Citations Received
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US Patent 12131550 Methods and apparatus for validating sensor data
2
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US Patent 12077024 Angle and orientation measurements for vehicles with multiple drivable sections
3
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US Patent 12079001 Method, system and related device of implementing vehicle automatically weighing
4
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US Patent 12094255 Method, system and related device of implementing vehicle automatic inspection and repair
5
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US Patent 12112272 Internet of things (IOT) big data artificial intelligence expert system information management and control systems and methods
6
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US Patent 12122398 Monitoring system for autonomous vehicle operation
7
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US Patent 11673557 System and method for path planning of autonomous vehicles based on gradient
8
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US Patent 11685643 Method, device and system for automatically fueling vehicle
9
...
Patent Primary Examiner
‌
Tuan C To
1
Patent abstract

An autonomous vehicle configured to detect and avoid pedestrians may use information from LIDAR or other range-based sensors. An example method involves: (a) receiving, at a computing device, range data corresponding to a plurality of objects in an environment of a vehicle, wherein the range data comprises a plurality of first data points; (b) generating a spherical data set comprising a plurality of second data points, wherein spherical coordinates for each second data point are generated based on a corresponding one of the first plurality of data points; and (c) determining a two-dimensional map based on the spherical data set comprising the plurality of second data points, wherein the two-dimensional map comprises a plurality of pixels, wherein each pixel of the plurality of pixels is indicative of a plurality of parameters corresponding to the plurality of objects in the environment.

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