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2751 条记录 (耗时 0.034 秒)

    Method for detecting a road class
    33.
    发明授权
    Method for detecting a road class 有权

    公开(公告)号：US11755032B2

    公开(公告)日：2023-09-12

    申请号：US16898742

    申请日：2020-06-11

    申请人： Continental Teves AG & Co. oHG

    发明人： Robert Bodenheimer ,  Bernd Kubina ,  Roland Burghardt

    IPC分类号： G05D1/02 ,  G01C21/30 ,  G05D1/00

    CPC分类号： G05D1/0278 ,  G01C21/30 ,  G05D1/0088

    摘要： The disclosure relates to a method and a corresponding execution device. The method includes determining a position of a vehicle by a satellite navigation system, establishing a guaranteed position range, where the guaranteed position range describes the geographical region around the actual position of the vehicle, in which the determined position has to be located according to a specified minimum integrity, matching the determined position with an electronically stored road map and corresponding allocation of the position of the vehicle to a road on the road map, where the road map includes information regarding open spaces without a drivable infrastructure as well as an allocation of roads according to road classes, and validating the road class of the allocated road according to the road map on the basis of the guaranteed position range as well as the information contained in the road map regarding open spaces without a drivable infrastructure.

    Route processing method and apparatus
    34.
    发明授权
    Route processing method and apparatus 有权

    公开(公告)号：US11747160B2

    公开(公告)日：2023-09-05

    申请号：US17562432

    申请日：2021-12-27

    申请人： BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

    发明人： Xinxin Pei ,  Wei Yu

    IPC分类号： G01C21/30 ,  G01C21/36 ,  G01C21/34

    CPC分类号： G01C21/3667 ,  G01C21/30 ,  G01C21/3415

    摘要： The present disclosure provides a route processing method and apparatus. The specific implementation includes: acquiring a vehicle driving route according to a standard definition map, where the vehicle driving route comprises multiple standard definition map road sections of the standard definition map; determining at least one first road section from the multiple standard definition map road sections according to a road section mapping relationship between the standard definition map and a high definition map, where each first road section has a unique corresponding target road section in the high definition map; determining the target road section corresponding to each first road section in the high definition map according to the road section mapping relationship; and determining a target driving route corresponding to the vehicle driving route in the high definition map according to the target road section corresponding to each first road section and the high definition map.

    Lane marking localization and fusion
    35.
    发明授权
    Lane marking localization and fusion 有权

    公开(公告)号：US11740093B2

    公开(公告)日：2023-08-29

    申请号：US17320888

    申请日：2021-05-14

    申请人： TUSIMPLE, INC.

    发明人： Mingdong Wang ,  Chenzhe Qian ,  Xue Mei

    IPC分类号： G05D1/02 ,  G06F17/10 ,  G06G7/78 ,  G01C21/30

    CPC分类号： G01C21/30

    摘要： Various embodiments provide a system and method for iterative lane marking localization that may be utilized by autonomous or semi-autonomous vehicles traveling within the lane. In an embodiment, the system comprises a locating device adapted to determine the vehicle's geographic location; a database; a region map; a response map; a plurality of cameras; and a computer connected to the locating device, database, and cameras, wherein the computer is adapted to receive the region map, wherein the region map corresponds to a specified geographic location; generate the response map by receiving information from the camera, the information relating to the environment in which the vehicle is located; identifying lane markers observed by the camera; and plotting identified lane markers on the response map; compare the response map to the region map; and iteratively generate a predicted vehicle location based on the comparison of the response map and the region map.

    MAP SELECTION FOR VEHICLE POSE SYSTEM
    36.
    发明公开
    MAP SELECTION FOR VEHICLE POSE SYSTEM 审中-公开

    公开(公告)号：US20230266129A1

    公开(公告)日：2023-08-24

    申请号：US18309256

    申请日：2023-04-28

    申请人： UATC, LLC

    发明人： Rachel Ahn ,  David Prasser ,  Peter Hansen ,  Robert Zlot

    IPC分类号： G01C21/32 ,  G01S19/45 ,  G01C21/30

    CPC分类号： G01C21/32 ,  G01S19/45 ,  G01C21/30

    摘要： Various examples are directed to systems and methods for locating a vehicle. A pose state estimator may access a previous position for the vehicle at a first time, wherein the previous position is on a first sub-map of a plurality of sub-maps. The pose state estimator may receive from a first localizer a first position estimate for the vehicle at a second time after the first time. The first position estimate may be on a second sub-map of the plurality of sub-maps. The pose state estimator may send to a second localizer a sub-map change message indicating the second sub-map.

    SIMULTANEOUS LOCALIZATION AND MAPPING USING ROAD SURFACE DATA
    37.
    发明公开
    SIMULTANEOUS LOCALIZATION AND MAPPING USING ROAD SURFACE DATA 审中-公开

    公开(公告)号：US20230258457A1

    公开(公告)日：2023-08-17

    申请号：US18131589

    申请日：2023-04-06

    申请人： Gudsen Engineering, Inc.

    发明人： Yu Jiang

    IPC分类号： G01C21/30

    CPC分类号： G01C21/30

    摘要： Systems, methods, and apparatuses for vehicle localization. The vehicle can include a data processing system (“DPS”) including one or more processors and memory. The DPS can receive sensor data from sensors of the vehicle. The DPS can identify a historical road profile of the ground for a first location of the vehicle. The DPS can generate a current road profile of the ground. The DPS can determine a lateral deviation of the vehicle. The DPS can determine a match between the historical road profile and the current road profile at a second location that aligns with the lateral deviation. The DPS can provide an indication of a current location of the vehicle as the second location.

    Systems, Methods and Devices for Map-Based Object's Localization Deep Learning and Object's Motion Trajectories on Geospatial Maps Using Neural Network
    38.
    发明公开
    Systems, Methods and Devices for Map-Based Object's Localization Deep Learning and Object's Motion Trajectories on Geospatial Maps Using Neural Network 审中-公开

    公开(公告)号：US20230243658A1

    公开(公告)日：2023-08-03

    申请号：US18004614

    申请日：2021-07-06

    申请人： Ohio State Innovation Foundation

    发明人： Alper Yilmaz ,  Bing Zha

    IPC分类号： G01C21/30 ,  G01C21/16 ,  G06N3/0442 ,  G06N3/063

    CPC分类号： G01C21/30 ,  G01C21/1656 ,  G06N3/0442 ,  G06N3/063

    摘要： An object of initial unknown position on a map may be determined by traversing through moving and turning to establish motion trajectory to reduce its spatial uncertainty to a single location that would fit only to a certain map trajectory. A artificial neural network model learns from object motion on different map topologies may establish the object's end-to-end positioning from embedding map topologies and object motion. The proposed method includes learning potential motion patterns from the map and perform trajectory classification in the map's edge-space. Two different trajectory representations, namely angle representation and augmented angle representation (incorporates distance traversed) are considered and both a Graph Neural Network and an RNN are trained from the map for each representation to compare their performances. The results from the actual visual-inertial odometry have shown that the proposed approach is able to learn the map and localize the object based on its motion trajectories.