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公开(公告)号：US20190156132A1
公开(公告)日：2019-05-23
申请号：US16261300
申请日：2019-01-29
Applicant: Ford Global Technologies, LLC.
Inventor： Maryam Moosaei , Guy Hotson , Parsa Mahmoudieh , Vidya Nariyambut Murali
Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.
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公开(公告)号：US10248874B2
公开(公告)日：2019-04-02
申请号：US15359158
申请日：2016-11-22
Applicant: Ford Global Technologies, LLC
Inventor： Maryam Moosaei , Guy Hotson , Parsa Mahmoudieh , Vidya Nariyambut Murali
IPC: G06K9/00
Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.
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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
Applicant: Ford Global Technologies, LLC
Inventor： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Brielle Reiff , Vidya Nariyambut Murali , Sneha Kadetotad
CPC classification number: G06T19/003 , G06F17/5095 , G06K9/00798 , G06K9/6262 , 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.
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公开(公告)号：US10124730B2
公开(公告)日：2018-11-13
申请号：US15073180
申请日：2016-03-17
Applicant: Ford Global Technologies, LLC
Inventor： Vidya Nariyambut Murali , Tejaswi Koduri , Smita Vinayak Bailur , Kyle J Carey
Abstract: A method for determining a position of a vehicle in a lane includes receiving perception information from a first camera positioned on a first side of a vehicle and a second camera positioned on a second side of the vehicle. The method includes determining, using one or more neural networks, a position of the vehicle with respect to lane markings on the first side and the second side of the vehicle. The method further includes notifying a driver or control system of the position of the vehicle.
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公开(公告)号：US10082797B2
公开(公告)日：2018-09-25
申请号：US14856010
申请日：2015-09-16
Applicant: Ford Global Technologies, LLC
Inventor： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Vidya Nariyambut Murali , Scott Vincent Myers
CPC classification number: G05D1/0257 , B60W30/00 , G01C21/30 , G05D1/024 , G05D1/0274 , G05D1/0278 , G05D2201/0213
Abstract: The disclosure relates to methods, systems, and apparatuses for autonomous driving vehicles or driving assistance systems and more particularly relates to vehicle radar perception and location. The vehicle driving system disclosed may include a storage media, a radar system, a location component and a driver controller. The storage media stores a map of roadways. The radar system is configured to generate perception information from a region near the vehicle. The location component is configured to determine a location of the vehicle on the map based on the radar perception information and other navigation related data. The drive controller is configured to control driving of the vehicle based on the map and the determined location.
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Patent Agency Ranking
公开(公告)号：US20180148047A1
公开(公告)日：2018-05-31
申请号：US15363763
申请日：2016-11-29
Applicant: Ford Global Technologies, LLC
Inventor： Sneha Kadetotad , Jinesh J. Jain , Vidya Nariyambut Murali , Dongran Liu , Marcos Paul Gerardo Castro , Adil Nizam Siddiqui
CPC classification number: B60W30/09 , B60W10/04 , B60W10/18 , B60W10/20 , B60W30/08 , B60W30/0956 , B60W40/04 , B60W2420/42 , B60W2420/52 , B60W2420/54 , B60W2550/10
Abstract: A controller receives outputs from a plurality of sensors such as a camera, LIDAR sensor, RADAR sensor, and ultrasound sensor, which may be rearward facing. A probability is updated each time a feature in a sensor output indicates presence of an object. The probability may be updated as a function of a variance of the sensor providing the output and a distance to the feature. Where the variance of a sensor is directional, directional probabilities may be updated according to these variances and the distance to the feature. If the probability meets a threshold condition, actions may be taken such as a perceptible alert or automatic braking. The probability may be decayed in the absence of detection of objects. Increasing or decreasing trends in the probability may be amplified by further increasing or decreasing the probability.
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公开(公告)号：US20170369057A1
公开(公告)日：2017-12-28
申请号：US15362521
申请日：2016-11-28
Applicant: Ford Global Technologies, LLC
Inventor： Alexandru Mihai Gurghian , Tejaswi Koduri , Vidya Nariyambut Murali , Kyle J. Carey
CPC classification number: B60W30/12 , B60R2300/30 , B60R2300/303 , B60R2300/304 , B60R2300/607 , B60R2300/804 , B60W2420/42 , B60W2720/24 , G06K9/00798 , G06K9/66 , G06N3/08 , G06T3/0093 , G08G1/167
Abstract: Example lane detection systems and methods are described. In one implementation, a method receives an image from a front-facing vehicle camera and applies a geometric transformation to the image to create a birds-eye view of the image. The method analyzes the birds-eye view of the image using a neural network, which was previously trained using side-facing vehicle camera images, to determine a lane position associated with the birds-eye view of the image.
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公开(公告)号：US20170293808A1
公开(公告)日：2017-10-12
申请号：US15095876
申请日：2016-04-11
Applicant: Ford Global Technologies, LLC
CPC classification number: G06K9/00791 , G06K9/4628 , G06K9/6256 , G06K9/6274 , G06K9/6284 , G06K9/66
Abstract: 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：US20170109928A1
公开(公告)日：2017-04-20
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
CPC classification number: G06T19/003 , G06F17/5095 , G06K9/00798 , G06K9/6262 , 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.
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公开(公告)号：US12067764B2
公开(公告)日：2024-08-20
申请号：US18321392
申请日：2023-05-22
Applicant: Ford Global Technologies, LLC.
Inventor： Maryam Moosaei , Guy Hotson , Parsa Mahmoudieh , Vidya Nariyambut Murali
IPC: G06V10/82 , G06V10/764 , G06V20/58
CPC classification number: G06V10/82 , G06V10/764 , G06V20/584 , G06T2207/10004 , G06T2207/10016 , G06T2207/10024 , G06T2207/10028 , G06T2207/30248 , G06T2207/30252
Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.
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