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US Patent 8195394 Object detection and classification for autonomous vehicles

Patent 8195394 was granted and assigned to Google on June, 2012 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Current Assignee
Google
Google
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
8195394
Patent Inventor Names
Christopher Paul Urmson0
Andrew Chatham0
Jiajun Zhu0
Michael Steven Montemerlo0
Date of Patent
June 5, 2012
Patent Application Number
13181999
Date Filed
July 13, 2011
Patent Citations Received
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US Patent 12086884 Insurance system for analysis of autonomous driving
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US Patent 11657319 Information processing apparatus, system, information processing method, and non-transitory computer-readable storage medium for obtaining position and/or orientation information
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US Patent 11698643 Methods and systems for keeping remote assistance operators alert
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US Patent 11702067 Multi-model switching on a collision mitigation system
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US Patent 11749114 Occupant facing vehicle display
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US Patent 11995852 Point cloud annotation for a warehouse environment
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US Patent 11790546 Point cloud annotation for a warehouse environment
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US Patent 11789461 Autonomous vehicle collision mitigation systems and methods
...
Patent Primary Examiner
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Dalena Tran
Patent abstract

Aspects of the disclosure relate generally to safe and effective use of autonomous vehicles. More specifically, objects detected in a vehicle's surroundings may be detected by the vehicle's various sensors and identified based on their relative location in a roadgraph. The roadgraph may include a graph network of information such as roads, lanes, intersections, and the connections between these features. The roadgraph may also include the boundaries of areas, including for example, crosswalks or bicycle lanes. In one example, an object detected in a location corresponding to a crosswalk area of the roadgraph may be identified as a person. In another example, an object detected in a location corresponding to a bicycle area of the roadgraph and identified as a bicycle. By identifying the type of object in this way, an autonomous vehicle may be better prepared to react to or simply avoid the object.

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