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公开(公告)号:US12130153B2
公开(公告)日:2024-10-29
申请号:US17606296
申请日:2019-04-23
申请人: Google LLC , Yan Mayster , Brian Shucker
发明人: Yan Mayster , Brian Shucker
CPC分类号: G01C21/3807 , B60W40/06 , B60W40/076 , G01S7/4802 , G06V10/80 , G06V20/588 , B60W50/14 , B60W2420/403 , B60W2420/408 , B60W2510/222 , B60W2530/201 , B60W2552/15 , B60W2552/35 , B60W2552/45 , B60W2555/20 , B60W2556/40 , B60W2710/18 , B60W2710/20
摘要: Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.
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公开(公告)号:US12125289B2
公开(公告)日:2024-10-22
申请号:US17776641
申请日:2019-11-15
申请人: ZENUITY AB
发明人: Robert Krutsch
CPC分类号: G06V20/56 , B60W30/16 , B60W30/18109 , B60W40/06 , B60W40/105 , G06V10/454 , G06V10/82 , G06V20/588 , B60W2420/403 , B60W2420/408 , B60W2530/20 , B60W2552/05 , B60W2554/402 , B60W2554/80 , B60W2555/20
摘要: A method for evaluating a minimum braking distance of a vehicle, in particular a car. The method comprises the step of obtaining at least one image in a movement direction of the vehicle associated substantially with an actual location of vehicle. A first road type indication from the at least one image is determined by a trained neural network architecture. Second road type indication associated with the actual location of the car are obtained from a database and compared with the first road type indication. If the second road type indication supports the determined first road type indication, an adjustment parameter associated with one of the at least first and second road type indication is selected. If second road type indication does not support the determined first road type indication, a default adjustment parameter as adjustment parameter is selected. Finally, a minimum braking distance using the adjustment parameter is set.
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公开(公告)号:US12123153B2
公开(公告)日:2024-10-22
申请号:US17755661
申请日:2020-10-23
申请人: Pirelli Tyre S.p.A.
CPC分类号: E01C23/01 , B60W40/06 , B60W2552/35
摘要: A method and system for estimating an unevenness parameter of a road segment having a length (L) are disclosed; the method and system take into account road unevenness induced vehicle body motions and are based on the estimation of the deformation, over multiple tire rotations, of at least two tires fitted to different axles of a vehicle.
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公开(公告)号:US12110018B2
公开(公告)日:2024-10-08
申请号:US17881234
申请日:2022-08-04
发明人: Tae Dong Oh
CPC分类号: B60W30/12 , B60W40/06 , G06N3/02 , G06N5/01 , B60W2300/14 , B60W2520/22 , B60W2556/40
摘要: An apparatus for calculating a driving path area of a vehicle including a tractor part and a trailer part and a method thereof are provided. A sensor device obtains information about periphery of the vehicle. A processor calculates a drivable area with regard to a road structure identified based on at least one of the information about the periphery of the vehicle or information about a map and calculates one or more driving paths of the tractor part, based on the calculated drivable area. The apparatus for calculating the driving path area of the vehicle accurately determines a risk of a predicted driving path to improve stability of autonomous driving.
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公开(公告)号:US12097879B2
公开(公告)日:2024-09-24
申请号:US17680415
申请日:2022-02-25
发明人: Koichiro Wada
IPC分类号: B60W60/00 , B60W10/20 , B60W30/12 , B60W40/04 , B60W40/06 , B60W40/08 , B60W40/105 , G01S13/931 , G01S17/931 , G06V20/58
CPC分类号: B60W60/0015 , B60W10/20 , B60W30/12 , B60W40/04 , B60W40/06 , B60W40/08 , B60W40/105 , G01S13/931 , G01S17/931 , G06V20/58 , B60W2040/0818 , B60W2420/403 , B60W2420/408 , B60W2540/223 , B60W2552/05 , B60W2552/10 , B60W2554/4041 , B60W2554/4044 , B60W2554/801 , B60W2554/804 , B60W2556/35
摘要: A vehicle control device of an embodiment recognizes that a first other lane is present at a position of a first other vehicle on the basis of a first relative distance between an own vehicle and the first other vehicle, recognizes an advancing direction of the first other lane on the basis of a first relative speed between the own vehicle and the first other vehicle, in a case where the recognized advancing direction of the first other lane is opposite to an advancing direction of an own lane, determines whether or not an adjacent lane of the own lane is an oncoming lane on the basis of at least two of the first relative distance, a second relative speed between the own vehicle and a second other vehicle, and map information including an advancing direction of a lane and the number of lanes, and in a case where it is determined that the adjacent lane is an oncoming lane, continues driving assistance or automated driving.
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公开(公告)号:US12071162B2
公开(公告)日:2024-08-27
申请号:US17491068
申请日:2021-09-30
申请人: Waymo LLC
发明人: Jonathan Lee Pedersen , Yu Zheng , Eamonn Michael Doherty , Brian Clair Williammee , Kevin Joseph Malta , Chung Eun Kim , Xu Dong
CPC分类号: B60W60/0016 , B60W30/181 , B60W40/06 , G06N20/00 , B60W2552/45 , B60W2555/60
摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.
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公开(公告)号:US20240270231A1
公开(公告)日:2024-08-15
申请号:US18421337
申请日:2024-01-24
申请人: APPLE INC.
发明人: Christoph Siedentop
CPC分类号: B60W10/22 , B60W40/06 , B60W50/14 , B60W60/005 , B60W2510/22 , B60W2555/20
摘要: A method includes determining a path of travel of a motorized electronic device to move from a first location to a second location. The method includes determining, by a control system, a baseline height of a body of the motorized electronic device relative to a surface of the path of travel and determining, by the control system, to notify a potential operator of the motorized electronic device. In response to determining to notify the potential operator, the method includes controlling operation of a system of the motorized electronic device using the control system to cause a change in a height of a portion of the body of the motorized electronic device relative to the baseline height of the body of the motorized electronic device.
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公开(公告)号:US20240253662A1
公开(公告)日:2024-08-01
申请号:US18531901
申请日:2023-12-07
发明人: Masahiro TANAKA
CPC分类号: B60W60/0011 , B60W40/06 , G06F18/23 , B60W2556/40
摘要: A reference trajectory generating device includes a processor configured to classify a plurality of trajectories of travel of at least one vehicle through a predetermined section of a road into a plurality of classes by clustering of the trajectories in the predetermined section, select a class including the most trajectories of the classes, and generate a reference trajectory serving as a reference in the predetermined section by averaging individual trajectories included in the class selected from the classes.
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公开(公告)号:US20240248198A1
公开(公告)日:2024-07-25
申请号:US18416196
申请日:2024-01-18
发明人: Wolfgang DOERR , Jens Westerhoff , Premnaath Sukumar , Javitha J
IPC分类号: G01S13/88 , B60W40/06 , G01S13/32 , G01S13/931
CPC分类号: G01S13/882 , B60W40/06 , G01S13/32 , G01S13/931 , B60W2400/00 , B60W2420/408 , G01S2013/9316
摘要: A computer implemented method for estimating a height profile of a road around a vehicle, comprises the following steps carried out by computer hardware components: receiving radar responses captured by a radar sensor mounted on the vehicle; determining an elevation spectrum of the road around the vehicle based on the radar responses; and estimating the height profile based on the elevation spectrum.
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公开(公告)号:US12037004B2
公开(公告)日:2024-07-16
申请号:US18222774
申请日:2023-07-17
IPC分类号: B60W50/12 , B60W40/06 , B60W40/08 , B60W40/10 , B60W50/00 , B60W60/00 , G05D1/00 , B62D1/28 , B62D6/00
CPC分类号: B60W50/12 , B60W40/06 , B60W40/08 , B60W40/10 , B60W50/0098 , B60W60/0059 , G05D1/0061 , B60W2040/0809 , B60W2050/0072 , B60W2050/0095 , B60W2510/30 , B60W2540/22 , B60W2552/00 , B60W2555/20 , B60W2556/10 , B60W2756/10 , B62D1/286 , B62D6/007
摘要: A computer-implemented method, system, and/or computer program product controls a driving mode of a self-driving vehicle (SDV). One or more processors compare a control processor competence level of an on-board SDV control processor in controlling the SDV to a human driver competence level of a human driver in controlling the SDV while the SDV encounters a current roadway condition which is a result of current weather conditions of the roadway on which the SDV is currently traveling. One or more processors then selectively assign control of the SDV to the SDV control processor or to the human driver while the SDV encounters the current roadway condition based on which of the control processor competence level and the human driver competence level is relatively higher to one another.
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