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公开(公告)号：US20170357859A1
公开(公告)日：2017-12-14
申请号：US15181263
申请日：2016-06-13
Applicant: Ford Global Technologies, LLC
Inventor： Jinesh J. Jain , Harpreetsingh Banvait
CPC classification number: G06K9/00791 , B60Q9/008 , B60R1/006 , B60R2300/307 , B60R2300/8026 , G06K9/00228 , G06K9/00805
Abstract: Example blind spot detection systems and methods are described. In one implementation, a primary vehicle detects a secondary vehicle ahead of the primary vehicle in an adjacent lane of traffic. A method determines dimensions of the secondary vehicle and estimates a vehicle class associated with the secondary vehicle based on the dimensions of the secondary vehicle. The method also identifies a side-view mirror location on the secondary vehicle and determines a blind spot associated with the secondary vehicle based on the vehicle class and the side-view mirror location.
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公开(公告)号：US20170293816A1
公开(公告)日：2017-10-12
申请号：US15627108
申请日：2017-06-19
Applicant: Ford Global Technologies, LLC.
Inventor： Ashley Elizabeth Micks , Venkatapathi Raju Nallapa , Harpreetsingh Banvait , Scott Vincent Myers
CPC classification number: G06K9/00805 , B60W2400/00 , B60W2420/00 , G06K9/00812 , G06K9/209 , G06K9/6256 , G06K9/6262 , G06T7/251 , G06T17/05 , G06T2207/20081 , G06T2207/30261 , G06T2207/30264 , G08G1/165 , G08G1/168
Abstract: 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. A method for generating virtual sensor data includes simulating, using one or more processors, a three-dimensional (3D) environment comprising one or more virtual objects. The method includes generating, using one or more processors, virtual sensor data for a plurality of positions of one or more sensors within the 3D environment. The method includes determining, using one or more processors, virtual ground truth corresponding to each of the plurality of positions, wherein the ground truth comprises a dimension or parameter of the one or more virtual objects. The method includes storing and associating the virtual sensor data and the virtual ground truth using one or more processors.
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公开(公告)号：US20170113684A1
公开(公告)日：2017-04-27
申请号：US14924187
申请日：2015-10-27
Applicant: Ford Global Technologies, LLC
Inventor： Harpreetsingh Banvait , Kyu Jeong Han , Jinesh J. Jain
CPC classification number: B60W30/09 , B60W30/0956 , B60W2420/42 , B60W2420/54 , B60W2550/10 , H04L67/12 , H04W4/046
Abstract: A controller for an autonomous vehicle receives audio signals from one or more microphones. The outputs of the microphones are pre-processed to enhance audio features that originated from vehicles. The outputs may also be processed to remove noise. The audio features are input to a machine learning model that classifies the source of the audio features. For example, features may be classified as originating from a vehicle. A direction to a source of the audio features is determined based on relative delays of the audio features in signals from multiple microphones. Where audio features are classified with an above-threshold confidence as originating from a vehicle, collision avoidance is performed with respect to the direction to the source of the audio features.
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公开(公告)号：US20170088052A1
公开(公告)日：2017-03-30
申请号：US14865497
申请日：2015-09-25
Applicant: Ford Global Technologies, LLC
Inventor： Venkatapathi Raju Nallapa , Harpreetsingh Banvait , Scott Vincent Myers , Ashley Elizabeth Micks
CPC classification number: B60Q9/002 , B62D15/027 , G01S13/04 , G01S13/862 , G01S13/865 , G01S13/867 , G01S15/931 , G01S17/026 , G01S17/936 , G01S19/13 , G01S2013/9314 , G01S2013/9364 , G01S2013/9367 , G01S2015/932 , G07C5/08
Abstract: A driving assistance system includes a drive detection component, a presence component, and a notification component. The drive detection component is configured to determine that a vehicle or driver is exiting or preparing to exit a parking location. The presence component is configured to determine, from a drive history database, whether a parking barrier is present in front of or behind the parking location. The notification component is configured to provide an indication that the parking barrier is present to a human driver or an automated driving system of the vehicle.
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公开(公告)号：US20160210775A1
公开(公告)日：2016-07-21
申请号：US14945774
申请日：2015-11-19
Applicant: Ford Global Technologies, LLC
Inventor： Arthur Alaniz , Vidya Nariyambut murali , Ashley Elizabeth Micks , Harpreetsingh Banvait , Sneha Kadetotad
CPC classification number: G05D1/0088 , G06F17/5095 , G09B9/042
Abstract: A computing device comprising a processing circuit and a data storage medium. The computing device is programmed to receive virtual sensor data that represents data collected by a virtual sensor associated with autonomously operating a virtual vehicle in a virtual environment and process the virtual sensor data to identify a limitation of a real-world sensor.
Abstract translation: 一种包括处理电路和数据存储介质的计算设备。 计算设备被编程为接收虚拟传感器数据，虚拟传感器数据表示由与虚拟环境中的自主操作虚拟车辆相关联的虚拟传感器收集的数据，并且处理虚拟传感器数据以识别真实世界传感器的限制。
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Patent Agency Ranking
公开(公告)号：US11288622B2
公开(公告)日：2022-03-29
申请号：US16307031
申请日：2016-06-06
Applicant: Ford Global Technologies, LLC
Abstract: A method for package delivery includes identifying a plurality of delivery locations for package delivery. The method includes determining a driving route for an automated ground vehicle to optimize delivery to the delivery locations using one or more automated aerial vehicles. The method includes controlling the automated ground vehicle to navigate the delivery route. The method further includes determining timing for release of the one or more automated aerial vehicles during navigation of the delivery route to deliver packages to the plurality of delivery locations.
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公开(公告)号：US10521677B2
公开(公告)日：2019-12-31
申请号：US15210670
申请日：2016-07-14
Applicant: Ford Global Technologies, LLC
Abstract: A method for generating training data is disclosed. The method may include executing a simulation process. The simulation process may include traversing a virtual camera through a virtual driving environment comprising at least one virtual precipitation condition and at least one virtual no precipitation condition. During the traversing, the virtual camera may be moved with respect to the virtual driving environment as dictated by a vehicle-motion model modeling motion of a vehicle driving through the virtual driving environment while carrying the virtual camera. Virtual sensor data characterizing the virtual driving environment in both virtual precipitation and virtual no precipitation conditions may be recorded. The virtual sensor data may correspond to what a real sensor would have output had it sensed the virtual driving environment in the real world.
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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
Applicant: Ford Global Technologies, LLC.
Inventor： Ashley Elizabeth Micks , Harpreetsingh Banvait , Jinesh J Jain , Brielle Reiff
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.
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公开(公告)号：US10372996B2
公开(公告)日：2019-08-06
申请号：US15380930
申请日：2016-12-15
Applicant: Ford Global Technologies, LLC
Abstract: 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.
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公开(公告)号：US10372128B2
公开(公告)日：2019-08-06
申请号：US15357980
申请日：2016-11-21
Applicant: Ford Global Technologies, LLC
Inventor： Scott Vincent Myers , Ashley Elizabeth Micks , Alexandru Mihai Gurghian , Harpreetsingh Banvait , Parsa Mahmoudieh
IPC: G05D1/00 , G08G1/0967 , B60W30/00 , G08G1/0962 , G08G1/16 , G06K9/00 , G06K9/62
Abstract: Example sinkhole detection systems and methods are described. In one implementation, a method receives data from multiple sensors mounted to a vehicle and analyzes the received data to identify a sinkhole in a roadway ahead of the vehicle. If a sinkhole is identified, the method adjusts vehicle operations and reports the sinkhole to a shared database and/or another vehicle.
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