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公开(公告)号：US09990548B2
公开(公告)日：2018-06-05
申请号：US15065681
申请日：2016-03-09
Applicant: Uber Technologies, Inc.
Inventor： Carl Wellington , Colin Green , Adam Milstein
CPC classification number: G06K9/00791 , G05D1/0088 , G06K9/00818 , G06K9/00825 , G06K9/52 , G06K9/6201 , G06T2207/30252
Abstract: A traffic signal analysis system can receive image data from one or more cameras of an autonomous vehicle, where the image data includes a traffic signaling system located at an intersection. The traffic signal analysis system can determine a pass-through action for the autonomous vehicle through the intersection, and access a matching signal map that includes characteristic information indicating properties of the traffic signaling system. Based on the characteristic information and the image data, the traffic signal analysis system can identify a state of the traffic signaling system for the pass-through action, and generate an output for the autonomous vehicle indicating the state of the traffic signaling system for the pass-through action.
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公开(公告)号：US20180272963A1
公开(公告)日：2018-09-27
申请号：US15467525
申请日：2017-03-23
Applicant: Uber Technologies, Inc.
Inventor： Eric Meyhofer , David Rice , Scott Boehmke , Carl Wellington
IPC: B60R16/023 , G01C21/20 , G05D1/00 , B60W50/023
Abstract: A self-driving vehicle (SDV) can operate by analyzing sensor data to autonomously control acceleration, braking, and steering systems of the SDV along a current route. The SDV includes a number of sensors generating the sensor data and a control system to detect conditions relating to the operation of the SDV, such as vehicle speed and local weather, select a set of sensors based on the detected conditions, and prioritize the sensor data generated from the selected set of sensors to control aspects relating to the operation of the SDV.
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Patent Agency Ranking
公开(公告)号：US20170262709A1
公开(公告)日：2017-09-14
申请号：US15065681
申请日：2016-03-09
Applicant: Uber Technologies, Inc.
Inventor： Carl Wellington , Colin Green , Adam Milstein
CPC classification number: G06K9/00791 , G05D1/0088 , G06K9/00818 , G06K9/00825 , G06K9/52 , G06K9/6201 , G06T2207/30252
Abstract: A traffic signal analysis system can receive image data from one or more cameras of an autonomous vehicle, where the image data includes a traffic signaling system located at an intersection. The traffic signal analysis system can determine a pass-through action for the autonomous vehicle through the intersection, and access a matching signal map that includes characteristic information indicating properties of the traffic signaling system. Based on the characteristic information and the image data, the traffic signal analysis system can identify a state of the traffic signaling system for the pass-through action, and generate an output for the autonomous vehicle indicating the state of the traffic signaling system for the pass-through action.
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公开(公告)号：US10452926B2
公开(公告)日：2019-10-22
申请号：US15393306
申请日：2016-12-29
Applicant: Uber Technologies, Inc.
Inventor： Peter Brueckner , Carl Wellington , David Driscoll
Abstract: An image capture device can include one or more image sensors and one or more image processors. The image sensor(s) can be configured to detect incoming light provided incident to a surface of each image sensor, each image sensor configured to provide full image frames of image capture data at a first resolution. The image processor(s) can be coupled to the image sensor(s) and configured to receive the image capture data at the first resolution, downsample the image capture data outside one or more regions of interest, and provide a digital image output having a second resolution within the one or more regions of interest and a third resolution outside the one or more regions of interest, wherein the third resolution is less than the second resolution.
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公开(公告)号：US20180288320A1
公开(公告)日：2018-10-04
申请号：US15477638
申请日：2017-04-03
Applicant: Uber Technologies, Inc.
Inventor： Peter Melick , Jay Kuvelker , Brian Thomas Zajac , Carl Wellington
IPC: H04N5/232 , H04N7/18 , G06K9/00 , G06K9/62 , G05D1/00 , G05D1/02 , B60R1/00 , G01S17/02 , G01S17/10 , G01S7/486
Abstract: The present disclosure provides systems and methods for detecting, localizing, and classifying objects that are proximate to an autonomous vehicle. A sensor system can include one or more ranging systems and a plurality of cameras. The plurality of cameras can be positioned such that a field of view for each camera of the plurality of cameras overlaps a field of view of at least one adjacent camera. The one or more ranging systems can be configured to transmit ranging data to a perception system for detecting objects of interest and the plurality of cameras can be configured to transmit image data to the perception system for classifying the objects of interest.
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公开(公告)号：US20180218226A1
公开(公告)日：2018-08-02
申请号：US15926211
申请日：2018-03-20
Applicant: Uber Technologies, Inc.
Inventor： Carl Wellington , Colin Green , Adam Milstein
Abstract: A traffic signal analysis system for an autonomous vehicle can receive image data from one or more cameras, the image data including an upcoming traffic signaling system located at an intersection. The system can determine an action for the AV through the intersection and access a matching signal map specific to the upcoming traffic signaling system. Using the matching signal map, the system can generate a signal template for the upcoming traffic signaling system and determine a first subset and a second subset of the plurality of traffic signal faces that apply to the action. The system can dynamically analyze the first subset and the second subset to determine a state of the upcoming traffic signaling system for the action, and generate an output for the AV indicating the state of the upcoming traffic signaling system for the action.
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公开(公告)号：US20180189574A1
公开(公告)日：2018-07-05
申请号：US15393306
申请日：2016-12-29
Applicant: Uber Technologies, Inc.
Inventor： Peter Brueckner , Carl Wellington , David Driscoll
CPC classification number: G06K9/00791 , G06K9/00805 , G06K9/2081 , G06K9/4604 , H04N5/23235 , H04N7/183 , H04N19/10 , H04N19/167
Abstract: An image capture device can include one or more image sensors and one or more image processors. The image sensor(s) can be configured to detect incoming light provided incident to a surface of each image sensor, each image sensor configured to provide full image frames of image capture data at a first resolution. The image processor(s) can be coupled to the image sensor(s) and configured to receive the image capture data at the first resolution, downsample the image capture data outside one or more regions of interest, and provide a digital image output having a second resolution within the one or more regions of interest and a third resolution outside the one or more regions of interest, wherein the third resolution is less than the second resolution.
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