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公开(公告)号：US10665104B2
公开(公告)日：2020-05-26
申请号：US15763416
申请日：2015-10-28
摘要： Example systems and methods for detecting an animal proximate a vehicle are described. In one implementation, a wearable device carried by an animal is activated when the wearable device is within a predetermined distance of a vehicle. The vehicle receives a signal from the wearable device and determines an approximate distance between the wearable device and the vehicle. An alert is generated to warn a driver that an animal is near the vehicle. The alert has an intensity level that corresponds to the approximate distance between the wearable device and the vehicle.
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公开(公告)号：US10423847B2
公开(公告)日：2019-09-24
申请号：US15714594
申请日：2017-09-25
摘要： Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A computer implemented method includes receiving an image of a proximal vehicle in a region near a vehicle. The method includes determining a region of the image that contains a driver of the proximal vehicle, wherein determining the region comprises determining based on a location of one or more windows of the proximal vehicle. The method includes processing image data only in the region of the image that contains the driver of the proximal vehicle to detect a driver's body language.
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公开(公告)号：US20190096128A1
公开(公告)日：2019-03-28
申请号：US16204553
申请日：2018-11-29
发明人： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Brielle Reiff , Vidya Nariyambut Murali , Sneha Kadetotad
CPC分类号： G06T19/003 , G06F17/5095 , G06K9/00798 , G06K9/6262 , G09B9/00 , G09B9/042
摘要： A method and an apparatus pertaining to generating training data. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual driving environment defining a plurality of lane markings or virtual objects that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual driving environment as dictated by a vehicle-dynamic model modeling motion of a vehicle driving on a virtual road surface of the virtual driving environment while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual driving environment may be recorded. The virtual sensor data may correspond to what an actual sensor would produce in a real-world environment that is similar or substantially matching the virtual driving environment.
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公开(公告)号：US20180350240A1
公开(公告)日：2018-12-06
申请号：US15761705
申请日：2015-10-28
摘要： Example systems and methods for communicating animal proximity to a vehicle are described. In one implementation, a device implanted in an animal is activated when the device is within a predetermined distance of a vehicle. The vehicle receives a signal from the device and determines an approximate distance between the device and the vehicle. A symbol is flashed to a driver of the vehicle at a frequency that corresponds to the approximate distance between the device and the vehicle.
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公开(公告)号：US20180286243A1
公开(公告)日：2018-10-04
申请号：US15763416
申请日：2015-10-28
IPC分类号： G08G1/16 , B60W50/14 , A01K11/00 , G06K19/077
摘要： Example systems and methods for detecting an animal proximate a vehicle are described. In one implementation, a wearable device carried by an animal is activated when the wearable device is within a predetermined distance of a vehicle. The vehicle receives a signal from the wearable device and determines an approximate distance between the wearable device and the vehicle. An alert is generated to warn a driver that an animal is near the vehicle. The alert has an intensity level that corresponds to the approximate distance between the wearable device and the vehicle.
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公开(公告)号：US09983591B2
公开(公告)日：2018-05-29
申请号：US14933693
申请日：2015-11-05
CPC分类号： G05D1/0246 , B60W40/08 , G05D1/024 , G05D1/0257 , G05D2201/0213 , G08G1/161 , G08G1/166
摘要： Systems, methods, and devices for predicting a driver's intention and future movements of a proximal vehicle, whether an automated vehicle or a human driven vehicle, are disclosed herein. A system for predicting future movements of a vehicle includes an intersection component, a camera system, a boundary component, and a prediction component. The intersection component is configured to determine that a parent vehicle is near an intersection. The camera system is configured to capture an image of the proximal vehicle. The boundary component is configured to identify a sub-portion of the image containing a turn signal indicator on the proximal vehicle. The prediction component is configured to predict future movement of the proximal vehicle through the intersection based on a state of the turn signal indicator.
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公开(公告)号：US09864918B2
公开(公告)日：2018-01-09
申请号：US14932160
申请日：2015-11-04
CPC分类号： G06K9/00845 , B60W40/08 , G06K9/00228 , G06K9/00335 , G06K9/00355 , G06K9/00604 , G06K9/4642 , G06T7/20 , G06T2207/30196 , G06T2207/30268
摘要： Systems, methods, and devices for predicting driver intent and future movements of a human driven vehicles are disclosed herein. A system for predicting future movements of a vehicle includes a camera system, a boundary component, a body language component, and a prediction component. The camera system is configured to capture an image of a vehicle. The boundary component is configured to identify a sub-portion of the image corresponding to an area where a driver of a vehicle is located. The body language component configured to detect a driver's body language. The prediction component configured to predict future motion of the vehicle based on the driver's body language detected by the body language component.
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公开(公告)号：US20170109928A1
公开(公告)日：2017-04-20
申请号：US14885099
申请日：2015-10-16
发明人： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Brielle Reiff , Vidya Nariyambut Murali , Sneha Kadetotad
CPC分类号： G06T19/003 , G06F17/5095 , G06K9/00798 , G06K9/6262 , G09B9/00 , G09B9/042
摘要： A method and an apparatus pertaining to generating training data. The method may include executing a simulation process. The simulation process may include traversing one or more virtual sensors over a virtual driving environment defining a plurality of lane markings or virtual objects that are each sensible by the one or more virtual sensors. During the traversing, each of the one or more virtual sensors may be moved with respect to the virtual driving environment as dictated by a vehicle-dynamic model modeling motion of a vehicle driving on a virtual road surface of the virtual driving environment while carrying the one or more virtual sensors. Virtual sensor data characterizing the virtual driving environment may be recorded. The virtual sensor data may correspond to what an actual sensor would produce in a real-world environment that is similar or substantially matching the virtual driving environment.
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公开(公告)号：US20170103270A1
公开(公告)日：2017-04-13
申请号：US14877115
申请日：2015-10-07
IPC分类号： G06K9/00 , B62D15/02 , B60T7/22 , G06K9/52 , G06K9/46 , G06T7/40 , G06K9/32 , G05D1/00 , G06K9/62
CPC分类号： G06K9/00805 , B60T7/22 , B60T2201/022 , B60T2210/32 , B62D15/0265 , G05D1/0088 , G06K9/00832 , G06K9/325 , G06K9/4652 , G06K9/52 , G06K9/6215 , G06T7/90 , G06T2207/30204 , G06T2207/30261 , G06T2207/30268
摘要： A controller for an autonomous vehicle receives an image stream from one or more imaging devices. The controller identifies vehicle images in the image stream. Vehicle images are compared to the color, shape, badging, markings, license plate, and driver of the autonomous vehicle. If the vehicle image is determined to match the autonomous vehicle, then the vehicle image is ignored as a potential obstacle. The location of a reflective surface that generated the vehicle image may be determined and added to a set of potential obstacles. The color and shape of a vehicle in a vehicle image may be evaluated first. Only if the color and shape in the vehicle image match the autonomous vehicle are other factors such as badging, markings, license plate, and driver considered. Vehicle images not matching the autonomous vehicle are included in a set of potential obstacles.
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