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公开(公告)号:US10207560B2
公开(公告)日:2019-02-19
申请号:US15845764
申请日:2017-12-18
Applicant: Ford Global Technologies, LLC.
IPC: B60G17/0165 , B60G17/018 , B60G17/019 , B60G17/016 , B60W10/22 , B60W40/10 , B60W30/02 , B60W10/20 , B60G17/0195 , H04L12/40 , H04L29/08
Abstract: A method for improving the safety and comfort of a vehicle driving over a railroad track, cattle guard, or the like. The method may include receiving, by a computer system, one or more inputs corresponding to one or more forward looking sensors. The computer system may also receive data characterizing a motion of the vehicle. The computer system may estimate, based on the one or more inputs and the data, a motion of a vehicle with respect to a railroad track, cattle guard, or the like extending across a road ahead of the vehicle. Accordingly, the computer system may change a suspension setting, steering setting, or the like of the vehicle to more safely or comfortably drive over the railroad track, cattle guard, or the like.
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公开(公告)号:US10183677B2
公开(公告)日:2019-01-22
申请号:US15271036
申请日:2016-09-20
Applicant: Ford Global Technologies, LLC
Inventor: Scott Vincent Myers , Ashley Elizabeth Micks , Sneha Kadetotad , Harpreetsingh Banvait , Ashok E. Rodrigues
Abstract: Example ice and snow detection systems and methods are described. In one implementation, a method activates an ice and snow detection system in response to receiving weather data indicating a likelihood of ice or snow on a roadway near a vehicle. The method receives data from multiple vehicle sensors and analyzes the received data to identify ice or snow on the roadway. If ice or snow is identified on the roadway, the method adjusts vehicle operations and reports the ice or snow condition to a shared database.
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公开(公告)号:US10048691B2
公开(公告)日:2018-08-14
申请号:US15724093
申请日:2017-10-03
Applicant: Ford Global Technologies, LLC
Inventor: Brielle Reiff , Jinesh J Jain , Sneha Kadetotad
Abstract: The present invention extends to methods, systems, and computer program products for distinguishing roadway surface 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. When ambiguity is detected between roadway surface markings, decision making algorithms identify a set of roadway surface markings for a vehicle to abide by. The sensors can also identify the location and trajectory of neighboring vehicles to increase confidence with respect to an identified set of roadway surface markings.
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公开(公告)号:US20180203445A1
公开(公告)日:2018-07-19
申请号:US15406031
申请日:2017-01-13
Applicant: Ford Global Technologies, LLC
Inventor: Ashley Elizabeth Micks , Sneha Kadetotad , Jinesh J. Jain , Dongran Liu , Marcos Paul Gerardo Castro , Vidya Nariyambut Murali
CPC classification number: G05D1/0088 , G06F17/5009 , G06F17/5095 , G06N99/005
Abstract: A scenario is defined that 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. Perception of the scenario by sensors at the sensor locations is simulated to obtain simulated sensor outputs. The simulated sensor outputs are annotated to indicate the location of obstacles in the scenario. The annotated sensor outputs may then be used to validate a statistical model or to train a machine learning model. The simulates sensor outputs may be modeled with sufficient detail to include sensor noise or may include artificially added noise to simulate real world conditions.
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公开(公告)号:US20180037221A1
公开(公告)日:2018-02-08
申请号:US15227625
申请日:2016-08-03
Applicant: Ford Global Technologies, LLC
IPC: B60W30/02 , B60W40/076 , G08G1/0967 , B60W30/14
CPC classification number: B60W30/02 , B60W30/143 , B60W40/076 , B60W2420/42 , B60W2420/52 , B60W2550/12 , B60W2550/14 , B60W2720/10 , G08G1/0112 , G08G1/0133 , G08G1/0145 , G08G1/09626 , G08G1/096725 , G08G1/096775
Abstract: A method for automatically detecting and safely traversing an accumulation of ice on an impending bridge. The method automatically identifies, by the vehicle, impending approach of the vehicle to a bridge and senses an accumulation of ice on the bridge. The method then calculates a speed of the vehicle needed to prevent longitudinal slip between the vehicle and the bridge, and automatically slows the vehicle at a rate sufficient to enable the vehicle to reach the calculated speed by the time it reaches the bridge. A corresponding system is also disclosed and claimed herein.
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公开(公告)号:US20180024560A1
公开(公告)日:2018-01-25
申请号:US15724093
申请日:2017-10-03
Applicant: Ford Global Technologies, LLC
Inventor: Brielle Reiff , Jinesh J. Jain , Sneha Kadetotad
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 roadway surface 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. When ambiguity is detected between roadway surface markings, decision making algorithms identify a set of roadway surface markings for a vehicle to abide by. The sensors can also identify the location and trajectory of neighboring vehicles to increase confidence with respect to an identified set of roadway surface markings.
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公开(公告)号:US20170221365A1
公开(公告)日:2017-08-03
申请号:US15010665
申请日:2016-01-29
Applicant: Ford Global Technologies, LLC
IPC: G08G1/16 , G05D1/02 , B60G17/0165
CPC classification number: G08G1/165 , B60G17/0165 , B60G2400/823 , B60G2400/824 , B60G2401/142 , B60G2401/16 , B60G2401/174 , B60G2800/162 , B60R1/00 , B60R2300/8093 , B60Y2200/10 , B62D15/0265 , G05D1/0246 , G05D2201/0213
Abstract: The disclosure relates generally to methods, systems, and apparatuses for automated or assisted driving and more particularly relates to identification, localization, and navigation with respect to bollard receivers. A method for detecting bollard receivers includes receiving perception data from one or more perception sensors of a vehicle. The method includes determining, based on the perception data, a location of one or more bollard receivers in relation to a body of the vehicle. The method also includes providing an indication of the location of the one or more bollard receivers to one or more of a driver and component or system that makes driving maneuver decisions.
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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.
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公开(公告)号:US20160210383A1
公开(公告)日:2016-07-21
申请号:US14945791
申请日:2015-11-19
Applicant: Ford Global Technologies, LLC
Inventor: Arthur Alaniz , Ashley Elizabeth Micks , Vidya Nariyambut murali , Sneha Kadetotad , Harpreetsingh Banvait , Jinesh J. Jain
CPC classification number: G06F17/5009 , G06F17/5095 , G09B9/04 , G09B9/048 , G09B9/05
Abstract: A computing device includes a processing circuit and a data storage medium, and is programmed to receive a user input representing a vehicle control action associated with operating a virtual vehicle in a virtual environment, virtually navigate the virtual vehicle through the virtual environment according to the vehicle control action, collect virtual sensor data, and process the virtual sensor data collected.
Abstract translation: 计算设备包括处理电路和数据存储介质,并且被编程为接收表示与在虚拟环境中操作虚拟车辆相关联的车辆控制动作的用户输入,虚拟地根据车辆通过虚拟车辆导航虚拟车辆 控制动作,收集虚拟传感器数据,并处理收集的虚拟传感器数据。
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