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公开(公告)号：US12066315B2
公开(公告)日：2024-08-20
申请号：US18475248
申请日：2023-09-27
申请人： CATARC AUTOMOTIVE TEST CENTER (TIANJIN) CO., LTD , CHINA AUTOMOTIVE TECHNOLOGY AND RESEARCH CENTER CO., LTD
发明人： Xiaoxin Bai , Chunling Wu , Xiaojun Jing , Yongzhen Yang , Changyu Li , Xu Li , Weilin Liu , Ziming Jing , Jinghui Fan , Na Li , Jing Wang , Wenjin Zhou
IPC分类号： B60W40/13 , B60W50/00 , G01G19/08 , G06N20/00 , G07C5/00 , B60W40/00 , B60W40/076 , B60W40/105 , B60W40/107
CPC分类号： G01G19/086 , G06N20/00 , G07C5/008 , B60W40/00 , B60W40/076 , B60W40/105 , B60W40/107 , B60W40/13
摘要： A method for predicting mass of heavy vehicles based on networked operating data and machine learning includes: collecting operating data; extracting speed, engine output torque, satellite elevation, and gear position under a driving condition; determining a transmission ratio of the heavy vehicle based on the gear position; filtering the speed, engine output torque, and the satellite elevation using three of the plurality of filtering parameters; determining a filtered vehicle longitudinal acceleration under the driving condition using the filtered speed, and one of the plurality of filtering parameters; determining a filtered road gradient sine value under the driving condition using the filtered speed, satellite elevation, and one of the plurality of filtering parameters; and inputting the speed, engine output torque, vehicle longitudinal acceleration, road gradient sine value, and transmission ratio into a vehicle mass prediction model to obtain a predicted mass.
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公开(公告)号：US20240208533A1
公开(公告)日：2024-06-27
申请号：US18145344
申请日：2022-12-22
CPC分类号： B60W60/001 , B60W30/09 , B60W40/00 , G06N5/022 , B60W2554/404
摘要： A system generates a first variant of a first machine learning (ML) model, the first variant associated with an initial hyperparameter value. The system determines a prediction metric for the first variant of the first ML model, the prediction metric indicating an accuracy of the behavior prediction. The system generates an estimated simulation metric for the first variant of the first ML model by applying a second ML model to the prediction metric. The system identifies a first hyperparameter associated with a second variant of the first ML model, the second variant of the first ML model having a corresponding prediction metric and a corresponding estimated simulation metric that meet a first predetermined criteria, the second variant of the first ML model is used by an autonomous driving vehicle (ADV) for behavior prediction.
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公开(公告)号：US20240194069A1
公开(公告)日：2024-06-13
申请号：US18587814
申请日：2024-02-26
申请人： Pied Parker, Inc.
IPC分类号： G08G1/0968 , B60W40/00 , G01C21/34 , G01C21/36 , G08G1/01
CPC分类号： G08G1/096838 , B60W40/00 , G01C21/3492 , G01C21/362 , G01C21/3664 , G01C21/3685 , G08G1/012 , G08G1/0129 , G08G1/096827 , G08G1/096888
摘要： The disclosed technology provides solutions for facilitating the selection of a parking space by a user of a parking application. A process of the disclosed technology can include steps for monitoring sensor data and location data associated with a user device, and retrieving, based on the location data associated with the user device, listing data associated with one or more parking spaces. Additionally, the process of the disclosed technology can further include steps for capturing image data that includes at least a portion of the one or more parking spaces, displaying the image data on a display of the user device, and overlaying one or more graphical objects onto the image data, based on the orientation of the user device. In some aspects, the one or more graphical objects are based on the listing data.
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公开(公告)号：US11845472B2
公开(公告)日：2023-12-19
申请号：US17941142
申请日：2022-09-09
申请人： Waymo LLC
发明人： Peter Lombrozo , Eric Teller , Bradley Templeton
IPC分类号： B60W60/00 , G01C21/26 , G01C21/30 , G06V20/58 , B60W30/18 , B60W40/00 , B60W30/09 , G01S13/88 , G01S15/88 , G01S17/88 , B60W50/00
CPC分类号： B60W60/0027 , B60W30/09 , B60W30/18159 , B60W40/00 , B60W60/0017 , G01C21/26 , G01C21/30 , G01S13/88 , G01S15/88 , G01S17/88 , G06V20/584 , B60W2050/0075 , B60W2554/00 , B60W2554/20 , B60W2554/406 , B60W2556/10
摘要： A vehicle configured to operate in an autonomous mode can obtain sensor data from one or more sensors observing one or more aspects of an environment of the vehicle. At least one aspect of the environment of the vehicle that is not observed by the one or more sensors could be inferred based on the sensor data. The vehicle could be controlled in the autonomous mode based on the at least one inferred aspect of the environment of the vehicle.
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公开(公告)号：US11740358B2
公开(公告)日：2023-08-29
申请号：US16929775
申请日：2020-07-15
IPC分类号： G01S17/86 , G06N20/00 , G01S17/931 , B60W40/00 , G01S17/89 , G06T7/00 , G06T7/20 , G06F18/214
CPC分类号： G01S17/86 , B60W40/00 , G01S17/89 , G01S17/931 , G06F18/214 , G06N20/00 , G06T7/0002 , G06T7/20 , B60W2420/42 , B60W2420/52 , G06T2207/20081 , G06T2207/30261
摘要： A method of and system for processing Light Detection and Ranging (LIDAR) point cloud data. The method is executable by an electronic device, communicatively coupled to a LIDAR installed on a vehicle, the LIDAR having a plurality of lasers for capturing LIDAR point cloud data. The method includes receiving a first LIDAR point cloud data captured by the LIDAR; executing a Machine Learning Algorithm (MLA) for: analyzing a first plurality of LIDAR points of the first point cloud data in relation to a response pattern of the plurality of lasers; retrieving a grid representation data of a surrounding area of the vehicle; determining if the first plurality of LIDAR points is associated with a blind spot, the blind spot preventing a detection algorithm of the electronic device to detect presence of at least one object surrounding the vehicle conditioned on the at least one object is present.
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6.发明授权公开(公告)号：US11698451B2
公开(公告)日：2023-07-11
申请号：US16767838
申请日：2018-11-15
申请人： Robert Bosch GmbH
发明人： Benedikt Loesch
IPC分类号： G01S13/72 , H04B17/309 , B60W40/00 , G01S7/40 , G01S13/58
CPC分类号： G01S13/72 , B60W40/00 , G01S7/4021 , G01S13/589 , H04B17/309 , B60W2420/52
摘要： A method for evaluating an angular position of an object recognized on the basis of radar data, the radar data being ascertained by a radar device. The method includes: ascertaining of an intrinsic speed of the radar device; ascertaining a relative speed of the recognized object in relation to the radar device, using the ascertained radar data; ascertaining at least one angular test region using the ascertained intrinsic speed and the ascertained relative speed, the at least one angular test region corresponding to possible stationary objects that have a relative speed that substantially corresponds to the ascertained relative speed; and ascertaining whether an azimuth angle of the recognized object lies in the ascertained angular test region.
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公开(公告)号：US20180197093A1
公开(公告)日：2018-07-12
申请号：US15912788
申请日：2018-03-06
发明人： Karl J. Cama , Norbert Herman , Shubhadip Ray
IPC分类号： G06N5/04 , G08G1/09 , G01S19/14 , B60W40/00 , G08G1/052 , G08G1/048 , G08G1/04 , G08G1/01 , G06Q50/30 , G06Q40/08 , G06K9/62 , G06K9/00 , G06F17/30 , G06N3/08 , G08G1/0962
CPC分类号： G06N5/04 , B60W40/00 , G01S19/14 , G06F16/29 , G06K9/00791 , G06K9/00832 , G06K9/626 , G06N3/08 , G06N5/046 , G06Q40/08 , G06Q50/30 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/04 , G08G1/048 , G08G1/052 , G08G1/093 , G08G1/09626
摘要： A vehicle accident detection method and system is provided. The method includes receiving location coordinates associated with a location of an occurring vehicular accident. Data associated with possible causes of the vehicular accident is received from sensors. Traffic related rules associated with a geographical location are retrieved and analyzed with respect to the data. Parameters associated with at least one vehicle involved in the vehicular accident and a possible cause are determined via execution of programming logic and transmitted to additional systems. The possible cause for the vehicular accident is determined from all possible causes based on matching current and historical accident circumstances. Additionally, weighting factors may be available and adjusted over time for accurate accident detection. A possible cause comprising a greatest weighting factor may be used to identify a most likely cause.
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公开(公告)号：US09984331B2
公开(公告)日：2018-05-29
申请号：US14732836
申请日：2015-06-08
发明人： Karl J. Cama , Norbert Herman , Shubhadip Ray
IPC分类号： G06N3/08 , G06N5/04 , G06F17/30 , G01S19/14 , B60W40/00 , G06K9/00 , G06Q40/08 , G06Q50/30 , G08G1/01 , G08G1/04 , G08G1/048 , G08G1/052 , G08G1/09 , G06K9/62 , G08G1/0962
CPC分类号： G06N5/04 , B60W40/00 , G01S19/14 , G06F17/30241 , G06K9/00791 , G06K9/00832 , G06K9/626 , G06N3/08 , G06Q40/08 , G06Q50/30 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/04 , G08G1/048 , G08G1/052 , G08G1/093 , G08G1/09626
摘要： A vehicle accident detection method and system is provided. The method includes receiving location coordinates associated with a location of an occurring vehicular accident. Data associated with possible causes of the vehicular accident is received from sensors. Traffic related rules associated with a geographical location are retrieved and analyzed with respect to the data. Parameters associated with at least one vehicle involved in the vehicular accident and a possible cause are determined via execution of programming logic and transmitted to additional systems. The possible cause for the vehicular accident is determined from all possible causes based on matching current and historical accident circumstances. Additionally, weighting factors may be available and adjusted over time for accurate accident detection. A possible cause comprising a greatest weighting factor may be used to identify a most likely cause.
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公开(公告)号：US09969269B2
公开(公告)日：2018-05-15
申请号：US15444670
申请日：2017-02-28
发明人： Atsushi Nomura , Tomoko Oba
CPC分类号： B60L3/0007 , B60K6/40 , B60K6/445 , B60K6/46 , B60K28/10 , B60L2220/42 , B60L2240/42 , B60W10/06 , B60W10/26 , B60W10/30 , B60W20/00 , B60W40/00 , B60W2710/244 , B60Y2200/92 , B60Y2300/60 , H02P27/06 , H02P29/024 , Y02T10/6239 , Y10S903/93
摘要： A hybrid vehicle includes an electronic control unit that executes first discharge control in a state where an engine is stopped in the case where a collision detector detects a collision of the hybrid vehicle. The first discharge control includes bringing all switching elements on either one of an upper arm side and a lower arm side of either one of a first inverter and a second inverter into ON states; bringing another inverter into a gate blocking state; and discharging electric charges of a capacitor by using a discharge device until a voltage of the capacitor becomes lower than a threshold.
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10.发明申请公开(公告)号：US20180114077A1
公开(公告)日：2018-04-26
申请号：US15839124
申请日：2017-12-12
申请人： Waymo LLC
IPC分类号： G06K9/00 , G08G1/0962 , G08G1/0967 , B60W40/00 , G08G1/00
CPC分类号： G06K9/00825 , B60W40/00 , G08G1/00 , G08G1/09623 , G08G1/09626 , G08G1/096716 , G08G1/096725 , G08G1/096758 , G08G1/096775 , G08G1/096791
摘要： Methods and devices for using a relationship between activities of different traffic signals in a network to improve traffic signal state estimation are disclosed. An example method includes determining that a vehicle is approaching an upcoming traffic signal. The method may further include determining a state of one or more traffic signals other than the upcoming traffic signal. Additionally, the method may also include determining an estimate of a state of the upcoming traffic signal based on a relationship between the state of the one or more traffic signals other than the upcoming traffic signal and the state of the upcoming traffic signal.
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