公开(公告)号：US20170131719A1

公开(公告)日：2017-05-11

申请号：US14933693

申请日：2015-11-05

Applicant: Ford Global Technologies, LLC

Inventor： Ashley Elizabeth Micks ,  Harpreetsingh Banvait ,  Jinesh J. Jain ,  Brielle Reiff

IPC: G05D1/02 ,  B60W40/08 ,  G08G1/16

CPC classification number: G05D1/0246 ,  B60W40/08 ,  G05D1/024 ,  G05D1/0257 ,  G05D2201/0213 ,  G08G1/161 ,  G08G1/166

Abstract: 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.

公开(公告)号：US20170124407A1

公开(公告)日：2017-05-04

申请号：US14932160

申请日：2015-11-04

Applicant: Ford Global Technologies, LLC

Inventor： Ashley Elizabeth Micks ,  Harpreetsingh Banvait ,  Jinesh J. Jain ,  Brielle Reiff

IPC: G06K9/00 ,  B60W40/08 ,  G06T7/00

CPC classification number: G06K9/00845 ,  B60W40/08 ,  G06K9/00228 ,  G06K9/00335 ,  G06K9/00355 ,  G06K9/00604 ,  G06K9/4642 ,  G06T7/20 ,  G06T2207/30196 ,  G06T2207/30268

Abstract: 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.

公开(公告)号：US20170109458A1

公开(公告)日：2017-04-20

申请号：US14885225

申请日：2015-10-16

Applicant: Ford Global Technologies, LLC

Inventor： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Brielle Reiff ,  Vidya Nariyambut Murali ,  Sneha Kadetotad

IPC: G06F17/50 ,  G06F3/0484

Abstract: Methods and apparatus pertaining to a testbed for lane boundary detection in a virtual driving environment are provided. A method may involve generating, by a processor, a virtual driving environment comprising one or more driving lanes, a virtual vehicle, and one or more virtual sensors mounted on the virtual vehicle configured to generate simulated data as the virtual vehicle traverses within the virtual environment. The method may also involve executing an algorithm to process the simulated data to detect the one or more driving lanes. The method may further involve recording an output of the algorithm. The method may additionally involve annotating the simulated data with the output of the algorithm.

公开(公告)号：US11544635B2

公开(公告)日：2023-01-03

申请号：US16480006

申请日：2017-01-31

Applicant: Ford Global Technologies, LLC

Inventor： Lisa Scaria ,  Candice Xu ,  Brielle Reiff ,  Henry Salvatore Savage ,  Sarah Houts ,  Jinhyong Oh ,  Erick Michael Lavoie

IPC: G06Q10/02 ,  B60N2/01 ,  B60N2/02 ,  G05D1/02

Abstract: Systems, methods, and devices for reserving a vehicle with a desired vehicle characteristic are disclosed herein. A system includes a receiver to receive a request to reserve a vehicle, wherein the request indicates a desired vehicle characteristic. The system includes a controller configured to determine a change to the vehicle that will satisfy the vehicle characteristic, and the system includes an implementation component configured to implement the change to the vehicle.

公开(公告)号：US11126877B2

公开(公告)日：2021-09-21

申请号：US16538571

申请日：2019-08-12

Applicant: Ford Global Technologies, LLC.

Inventor： Ashley Elizabeth Micks ,  Harpreetsingh Banvait ,  Jinesh J Jain ,  Brielle Reiff

IPC: G06K9/00 ,  G06K9/46 ,  B60W40/08 ,  G06T7/20

Abstract: 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.

公开(公告)号：US10453256B2

公开(公告)日：2019-10-22

申请号：US16204553

申请日：2018-11-29

Applicant: Ford Global Technologies, LLC

Inventor： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Brielle Reiff ,  Vidya Nariyambut Murali ,  Sneha Kadetotad

IPC: G06T19/00 ,  G06F17/50 ,  G06K9/00 ,  G09B9/00 ,  G06K9/62 ,  G09B9/042

Abstract: 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.

公开(公告)号：US10176634B2

公开(公告)日：2019-01-08

申请号：US14885099

申请日：2015-10-16

Applicant: Ford Global Technologies, LLC

Inventor： Ashley Elizabeth Micks ,  Venkatapathi Raju Nallapa ,  Brielle Reiff ,  Vidya Nariyambut Murali ,  Sneha Kadetotad

IPC: G06T19/00 ,  G06F17/50 ,  G06K9/00 ,  G06K9/62 ,  G09B9/00 ,  G09B9/042

Abstract: 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.

公开(公告)号：US20180239361A1

公开(公告)日：2018-08-23

申请号：US15960311

申请日：2018-04-23

Applicant: Ford Global Technologies, LLC.

Inventor： Ashley Elizabeth Micks ,  Harpreetsingh Banvait ,  Jinesh J. Jain ,  Brielle Reiff

IPC: G05D1/02 ,  G08G1/16 ,  B60W40/08

CPC classification number: G05D1/0246 ,  B60W40/08 ,  G05D1/024 ,  G05D1/0257 ,  G05D2201/0213 ,  G08G1/161 ,  G08G1/166

Abstract: 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.

公开(公告)号：US09937922B2

公开(公告)日：2018-04-10

申请号：US14876269

申请日：2015-10-06

Applicant: Ford Global Technologies, LLC

Inventor： Brielle Reiff ,  Madeline Jane Schrier ,  Nithika Sivashankar

IPC: B60W30/09 ,  G05D1/00 ,  G06F19/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  H04R1/32 ,  G05D1/02 ,  G01S13/93

CPC classification number: B60W30/09 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W2420/10 ,  B60W2420/54 ,  B60W2550/14 ,  B60W2710/18 ,  B60W2710/20 ,  B60W2720/10 ,  G01S5/16 ,  G01S5/28 ,  G01S2013/9357 ,  G01S2013/936 ,  G05D1/0088 ,  G05D1/0255 ,  G05D1/0274 ,  G05D2201/0213 ,  H04R1/326 ,  H04R2499/13

Abstract: A controller for an autonomous vehicle receives audio signals from one or more microphones and identifies sounds. The controller further identifies an estimated location of the sound origin and the type of sound, i.e. whether the sound is a vehicle and/or the type of vehicle. The controller analyzes map data and attempts to identify a landmark within a tolerance from the estimated location. If a landmark is found corresponding to the estimated location and type of the sound origin, then the certainty is increased that the source of the sound is at that location and is that type of sound source. Collision avoidance is then performed with respect to the location of the sound origin and its type with the certainty as augmented using the map data. Collision avoidance may include automatically actuating brake, steering, and accelerator actuators in order to avoid the location of the sound origin.

公开(公告)号：US09829888B2

公开(公告)日：2017-11-28

申请号：US14943573

申请日：2015-11-17

Applicant: Ford Global Technologies, LLC

Inventor： Brielle Reiff ,  Jinesh J Jain ,  Sneha Kadetotad

IPC: G01C22/00 ,  G05D1/02 ,  B60W30/12 ,  G06K9/00

CPC classification number: G05D1/021 ,  B60W30/12 ,  B60W2420/403 ,  B60W2710/20 ,  B60Y2300/12 ,  G06K9/00798

Abstract: The present invention extends to methods, systems, and computer program products for distinguishing lane markings for a vehicle to follow. Automated driving or driving assist vehicles utilize sensors to help the vehicle navigate on roadways or in parking areas. The sensors can utilize, for example, the painted surface markings to help guide the vehicle on its path. Aspects of the invention use a first type of sensor and at least a second different type of sensor to identify road surface markings. When ambiguity is detected between road surface markings, decision making algorithms identify the correct set of markings for a vehicle to abide by. The sensors also identify the location and trajectory of neighboring vehicles to increase confidence with respect to the identified road-surface markings.