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Patent Agency Ranking
1.发明授权公开(公告)号：US11623659B2
公开(公告)日：2023-04-11
申请号：US16921008
申请日：2020-07-06
Inventor： Ning Yu , Jingjing Xue , Dongchun Yao
IPC: B60W60/00 , B60W30/09 , B60W30/095 , B60W40/072 , B60W40/105 , B60W30/045 , B60W30/18 , B60W30/04
Abstract: Embodiments of the present disclosure disclose a method for controlling an autonomous vehicle to pass through a curve, a device and a medium, and relate to the field of autonomous driving technologies. At least one implementation of the method for controlling an autonomous vehicle to pass through a curve includes: determining a curve boundary within a sensing area in a current driving direction of the autonomous vehicle based on a current position of the autonomous vehicle on the curve; determining a current safe stopping distance of the autonomous vehicle on the curve based on current driving parameters of the autonomous vehicle and the curve boundary; determining a speed threshold of the autonomous vehicle based on the current safe stopping distance, braking parameters of the autonomous vehicle and a curve curvature corresponding to the current position; and controlling a speed of the autonomous vehicle not to exceed the speed threshold.
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公开(公告)号：US11383735B2
公开(公告)日：2022-07-12
申请号：US16915552
申请日：2020-06-29
Inventor： Ning Yu , Fan Zhu , Jingjing Xue , Chengfa Wang
Abstract: Embodiments of the present disclosure disclose a vehicle fault processing method, a device and a medium, and relate to the field of autonomous driving technologies. The vehicle fault processing method includes: obtaining operating index data of a target vehicle and driving environment information of the target vehicle, the operating index data being configured to determine an operating condition of the target vehicle; determining whether a fault occurs in the target vehicle based on the operating index data; and when a fault occurs in the target vehicle, controlling the target vehicle to place a warning sign at a preset position based on the driving environment information.
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公开(公告)号：US20210341295A1
公开(公告)日：2021-11-04
申请号：US16959276
申请日：2019-10-22
Inventor： Yue Wang , Ruihao Min , Jingjing Xue , Yingnan Liu , Wenlong Rao , Zijie Wang , Zelin Wu
Abstract: A method and apparatus for controlling a vehicle. An exemplary method includes: acquiring transportation demand information; acquiring driving status information of a vehicle in a vehicle formation; determining a target vehicle from the vehicle formation based on the transportation demand information and the driving status information; and sending a dispatch instruction to the target vehicle, to cause the target vehicle to execute a transportation task indicated by the transportation demand information according to the dispatch instruction.
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公开(公告)号：US20210089793A1
公开(公告)日：2021-03-25
申请号：US16914082
申请日：2020-06-26
Inventor： Shuang ZHANG , Xiang Liu , Bin Gao , Xiaoxing Zhu , Jingjing Xue
Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: identifying at least one obstacle from a point cloud collected by a lidar during a traveling process of a vehicle; for an obstacle in the at least one obstacle, determining an appearance rate of the obstacle within a life cycle corresponding to the obstacle; determining a confidence degree of a grid region of at least one grid region based on appearance rates of obstacles in the at least one obstacle; determining a target grid region from the at least one grid region based on the confidence degree, and determining whether an obstacle detected in the target grid region is an obstacle detected for a first time; and if yes, filtering out a point cloud corresponding to the obstacle detected in the target grid region for the first time.
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公开(公告)号：US20210325203A1
公开(公告)日：2021-10-21
申请号：US16958650
申请日：2019-11-07
Inventor： Yue Wang , Zelin Wu , Jingjing Xue , Yingnan Liu , Wenlong Rao , Wei Gong
Abstract: Embodiments of the present disclosure provides a high-precision map-based human-machine interaction method and apparatus. A specific embodiment of the method includes: acquiring a pre-generated high-precision map; analyzing, in response to receiving an information addition request, the information addition request; and adding additional information indicated by the information addition request to the pre-generated high-precision map to generate an updated high-precision map.
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