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公开(公告)号：US20250010870A1
公开(公告)日：2025-01-09
申请号：US18887857
申请日：2024-09-17
Inventor： Haowei ZHAO , Pengfei ZHANG , Yuchen SUN , Yuqing GUO , Kuan ZHANG , Lin MA , Changchun LIU
Abstract: A method for controlling a vehicle, including: simulating and deducing, based on current state information between a target vehicle and a traffic participant, an interaction process between the target vehicle and the traffic participant to obtain an initial part of a cooperative game tree; updating, in response to there being a target leaf node that is capable of being expanded to obtain a target child node in the initial part, respective nodes on a deduction path from the root node to the target child node based on a path parameter of an updated predicted trajectory, to obtain a complete cooperative game tree composed of the initial part and the target child node; and determining a first control instruction of the target vehicle using the complete cooperative game tree, to control the target vehicle using the first control instruction.
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公开(公告)号：US20200184824A1
公开(公告)日：2020-06-11
申请号：US16704005
申请日：2019-12-05
Inventor： Fan YANG , Fan ZHU , Weicheng ZHU , Leibing LV , Lin MA
Abstract: The present disclosure provides a method, an apparatus, a device and a readable storage medium for planning a pass path. The method includes: acquiring current road environment information in front of a vehicle; setting pass candidate points according to the current road environment information and a driving strategy; and determining a current optimal passable path according to the pass candidate points. Since the pass candidate points are set according to the current road environment information and the driving strategy, and the current optimal passable path is determined according to the pass candidate points, thereby effectively decreasing the calculation amount of the impassable path calculation in prior art due to direct setting of pass candidate points in all areas in front of an unmanned vehicle.
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公开(公告)号：US20220058222A1
公开(公告)日：2022-02-24
申请号：US17517703
申请日：2021-11-03
Inventor： Mo CHENG , Dianhai YU , Lin MA , Zhihua WU , Daxiang DONG , Wei TANG
IPC: G06F16/901 , G06F16/28 , G06N5/02
Abstract: The present disclosure provides a method of processing information, an apparatus of processing information, a method of recommending information, an electronic device, and a storage medium. The method includes: obtaining a tree structure parameter of a tree structure, wherein the tree structure is configured to index an object set used for recommendation; obtaining a classifier parameter of a classifier, wherein the classifier is configured to sequentially predict, from a top layer of the tree structure to a bottom layer of the tree structure, a preference node set whose probability of being preferred by a user is ranked higher in each layer, and a preference node set of each layer subsequent to the top layer of the tree structure is determined based on a preference node set of a previous layer of the each layer; and constructing a recalling model based on the tree structure parameter and the classifier parameter.
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4.发明申请公开(公告)号：US20200180615A1
公开(公告)日：2020-06-11
申请号：US16704043
申请日：2019-12-05
Inventor： Fan YANG , Fan ZHU , Weicheng ZHU , Leibing LV , Lin MA
IPC: B60W30/095 , B60W30/09 , G08G1/16
Abstract: The present disclosure provides a method, an apparatus, a device and a readable storage medium for preventing a vehicle collision. The method includes determining a current conservative anti-collision region of a vehicle acquiring the omnidirectional environmental information in the current region in the current conservative anti-collision region; predicting a behavior of an obstacle according to the omnidirectional environmental information in the current region, and controlling the vehicle to conduct an anti-collision behavior according a prediction result, a reasonable prediction may be made to the behavior of the obstacle based on the conservative anti-collision region and the omnidirectional environmental information, thus controlling the vehicle to conduct an accurate anti-collision behavior, thereby preventing collisions effectively, and avoiding an occurrence of traffic accidents.
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