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公开(公告)号：US10800455B2
公开(公告)日：2020-10-13
申请号：US14973454
申请日：2015-12-17
发明人： Ashley Elizabeth Micks , Harpreetsingh Banvait , Jinesh J Jain , Brielle Reiff , Sneha Kadetotad
摘要： Systems, methods, and devices for detecting a vehicle's turn signal status for collision avoidance during lane-switching maneuvers or otherwise. A method includes detecting, at a first vehicle, a presence of a second vehicle in an adjacent lane. The method includes identifying, in an image of the second vehicle, a sub-portion containing a turn signal indicator of the second vehicle. The method includes processing the sub-portion of the image to determine a state of the turn signal indicator. The method also includes notifying a driver or performing a driving maneuver, at the first vehicle, based on the state of the turn signal indicator.
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公开(公告)号：US10762358B2
公开(公告)日：2020-09-01
申请号：US15215282
申请日：2016-07-20
IPC分类号： G06K9/00 , G05D1/00 , G08G1/16 , G01C21/36 , G06T7/00 , H04N5/247 , G06K9/62 , B60R1/00 , G07C5/00
摘要： A method for determining lane information includes receiving perception data from at least two sensors, the at least two sensors including a rear facing camera of a vehicle. The method includes determining, based on the perception data, a number of lanes on a roadway within a field of view captured by the perception data using a neural network. The method includes providing an indication of the number of lanes to an automated driving system or driving assistance system.
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公开(公告)号：US10474964B2
公开(公告)日：2019-11-12
申请号：US15007024
申请日：2016-01-26
摘要： A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a lane-splitting vehicle. The location of the lane-splitting vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of a lane-splitting vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a lane-splitting vehicle based on actual sensor outputs input to the machine learning model.
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公开(公告)号：US10296816B2
公开(公告)日：2019-05-21
申请号：US15404031
申请日：2017-01-11
IPC分类号： G06K9/66 , G06N3/08 , G06K9/00 , G06K9/62 , G06T11/60 , G06K9/46 , B60R1/00 , H04N13/275 , G06T7/00
摘要： A vehicle controller receives images from a camera upon arrival and upon departure. A location of the vehicle may be tracked and images captured by the camera may be tagged with a location. A departure image may be compared to an arrival image captured closest to the same location as the arrival image. A residual image based on a difference between the arrival and departure images is evaluated for anomalies. Attributes of the anomaly such as texture, color, and the like are determined and the anomaly is classified based on the attributes. If the classification indicates an automotive fluid, then an alert is generated. A machine learning algorithm for generating classifications from image data may be trained using arrival and departure images obtained by rendering of a three-dimensional model or by adding simulated fluid leaks to two-dimensional images.
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公开(公告)号：US10096158B2
公开(公告)日：2018-10-09
申请号：US15079540
申请日：2016-03-24
IPC分类号： G06T15/50 , G06T15/60 , G06T19/00 , G06T13/60 , G06T15/20 , G06T17/00 , G06T13/00 , G06T19/20
摘要： Methods and systems for generating virtual sensor data for developing or testing computer vision detection algorithms are described. A system and a method may involve generating a virtual environment. The system and the method may also involve positioning a virtual sensor at a first location in the virtual environment. The system and the method may also involve recording data characterizing the virtual environment, the data corresponding to information generated by the virtual sensor sensing the virtual environment. The system and the method may further involves annotating the data with a depth map characterizing a spatial relationship between the virtual sensor and the virtual environment.
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公开(公告)号：US10049284B2
公开(公告)日：2018-08-14
申请号：US15095876
申请日：2016-04-11
摘要： A method is disclosed for using a camera on-board a vehicle to determine whether precipitation is failing near the vehicle. The method may include obtaining multiple images. Each of the multiple images may be known to photographically depict a “rain” or a “no rain” condition. An artificial neural network may be trained on the multiple images. Later, the artificial neural network may analyze one or more images captured by a first camera secured to a first vehicle. Based on that analysis, the artificial neural network may classify the first vehicle as being in “rain” or “no rain” weather.
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公开(公告)号：US20170364776A1
公开(公告)日：2017-12-21
申请号：US15183610
申请日：2016-06-15
IPC分类号： G06K9/66 , G06F17/50 , G01S17/00 , G01S13/00 , G01S13/93 , G01S13/86 , G06N99/00 , G01S17/93
CPC分类号： G06K9/66 , G01S13/006 , G01S13/865 , G01S13/931 , G01S17/006 , G01S17/936 , G05D1/0088 , G06F17/5009 , G06K9/00825 , G06N99/005 , G09B9/54
摘要： A machine learning model is trained by defining a scenario including models of vehicles and a typical driving environment. A model of a subject vehicle is added to the scenario and sensor locations are defined on the subject vehicle. A perception of the scenario by sensors at the sensor locations is simulated. The scenario further includes a model of a parked vehicle with its engine running. The location of the parked vehicle and the simulated outputs of the sensors perceiving the scenario are input to a machine learning algorithm that trains a model to detect the location of the parked vehicle based on the sensor outputs. A vehicle controller then incorporates the machine learning model and estimates the presence and/or location of a parked vehicle with its engine running based on actual sensor outputs input to the machine learning model.
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公开(公告)号：US09740944B2
公开(公告)日：2017-08-22
申请号：US14975177
申请日：2015-12-18
发明人： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Harpreetsingh Banvait , Scott Vincent Myers
CPC分类号： G06K9/00805 , B60W2400/00 , B60W2420/00 , G06K9/00812 , G06K9/209 , G06K9/6256 , G06K9/6262 , G06T7/251 , G06T11/00 , G06T17/05 , G06T2207/20081 , G06T2207/30261 , G06T2207/30264 , G08G1/165 , G08G1/168
摘要： The disclosure relates to methods, systems, and apparatuses for virtual sensor data generation and more particularly relates to generation of virtual sensor data for training and testing models or algorithms to detect objects or obstacles, such as wheel stops or parking barriers. A method for generating virtual sensor data includes simulating a three-dimensional (3D) environment comprising one or more objects. The method includes generating virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth includes information about at least one object within the virtual sensor data. The method also includes storing and associating the virtual sensor data and the virtual ground truth.
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公开(公告)号：US09718404B2
公开(公告)日：2017-08-01
申请号：US14872816
申请日：2015-10-01
发明人： Venkatapathi Raju Nallapa , Harpreetsingh Banvait , Scott Vincent Myers , Ashley Elizabeth Micks
摘要： Systems, methods and apparatuses are disclosed for assessing whether a vehicle will make contact with an obstacle. The systems, methods, and apparatuses may include an obstacle sensing component configured to determine a location and a dimension of an obstacle, a vehicle sensing component configured to determine a height of a point of the vehicle relative to the ground, and a notification component configured to provide an indication of a presence of the obstacle to assist a human driver or an automated driving system in parking the vehicle without making contact with the obstacle.
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公开(公告)号：US20170083794A1
公开(公告)日：2017-03-23
申请号：US14858671
申请日：2015-09-18
CPC分类号： G06K9/6262 , B60W50/04 , G06K9/00791 , G06K9/6256 , G06K9/627 , G06N20/00
摘要： A method for testing the performance of one or more anomaly-detection algorithms. The method may include obtaining sensor data output by a virtual sensor modeling the behavior of an image sensor. The sensor data may correspond to a time when the virtual sensor was sensing a virtual anomaly defined within a virtual road surface. One or more algorithms may be applied to the sensor data to produce at least one perceived dimension of the virtual anomaly. Thereafter, the performance of the one or more algorithms may be quantified by comparing the at least one perceived dimension to at least one actual dimension of the virtual anomaly as defined in the virtual road surface.
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