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公开(公告)号：US11767029B2
公开(公告)日：2023-09-26
申请号：US17032090
申请日：2020-09-25
Inventor： Zhiyuan Chen , Xiaoxin Fu , Lin Ma , Xujian Li , Zhenguang Zhu
IPC: B60W30/095 , B60W60/00 , B60W30/09 , B60W40/072 , B60W40/12 , G06V20/58
CPC classification number: B60W60/0011 , B60W30/09 , B60W30/0953 , B60W40/072 , B60W40/12 , G06V20/58 , B60W2554/801
Abstract: Embodiments of the present disclosure provide a bend driving control method for an autonomous vehicle, a device and a storage medium, and relate to a field of perception and autonomous driving technologies. The method includes: obtaining an occupancy width of an autonomous vehicle on a target bend when the autonomous vehicle drives on the target bend; detecting location information of an obstacle on the target bend; and controlling a driving route of the autonomous vehicle on the target bend based on the occupancy width and the location information of the obstacle.
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2.发明申请公开(公告)号：US20210326762A1
公开(公告)日：2021-10-21
申请号：US17351194
申请日：2021-06-17
Inventor： Zhihua Wu , Dianhai Yu , Xuefeng Yao , Wei Tang , Xinxuan Wu , Mo Cheng , Lin Ma , Yanjun Ma , Tian Wu , Haifeng Wang
IPC: G06N20/00
Abstract: The present disclosure discloses an apparatus and method for distributedly training a model, an electronic device, and a computer readable storage medium. The apparatus may include: a distributed reader, a distributed trainer and a distributed parameter server that are mutually independent. A reader in the distributed reader is configured to acquire a training sample, and load the acquired training sample to a corresponding trainer in the distributed trainer; the trainer in the distributed trainer is configured to perform model training based on the loaded training sample to obtain gradient information; and a parameter server in the distributed parameter server is configured to update a parameter of an initial model based on the gradient information of the distributed trainer to obtain a trained target model.
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