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公开(公告)号：US12017677B2
公开(公告)日：2024-06-25
申请号：US17343692
申请日：2021-06-09
发明人： Jianxiong Xiao
CPC分类号： B60W60/001 , G01C21/3461 , G01C21/3691 , G01S13/89 , G01S13/931 , G05D1/0214 , G01S2013/93273
摘要： A sensing method for an autonomous driving vehicle includes steps of: obtaining an instruction; driving a center sensor assembly, or a center sensor assembly to sense corresponding areas to obtain first road condition data; judging whether a first occlusion area appears in the first road condition data; calculating a first safety area when a first occlusion area appears in the first road condition data; planning a first execution instruction; controlling the autonomous driving vehicle to motion in the first safety area; driving the at least one edge sensor assembly, or driving the at least one edge sensor assembly and the center sensor assembly to obtain second road condition data; judging whether a second occlusion area appears in the second road condition data; and planning a second execution instruction to control the autonomous driving vehicle to motion when a second occlusion area appears in the second road condition data.
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2.发明授权公开(公告)号：US11866069B2
公开(公告)日：2024-01-09
申请号：US17482452
申请日：2021-09-23
发明人： Jianxiong Xiao
CPC分类号： B60W60/00253 , B60R25/24 , B60W30/06 , G01C21/32 , G01C21/343
摘要： A method for selecting parking location for an autonomous driving vehicle is provided. The method comprises steps of: obtaining a request of a user; constructing a first map according to a current location of the user, a first parking location, and a high-precision map; obtaining a second parking location selected by the user on the first map; controlling the autonomous driving vehicle to drive to the second parking location, and calculating distance between a current location of the autonomous driving vehicle and the second parking location; when the distance is less than a preset distance, constructing a second map according to the current location of the autonomous driving vehicle, the second parking location, and the high-precision map; controlling the autonomous driving vehicle to drive to the second parking location selected by the user on the second map. Furthermore, an intelligent control device and an autonomous driving vehicle are also provided.
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公开(公告)号：US12024196B2
公开(公告)日：2024-07-02
申请号：US17341415
申请日：2021-06-08
发明人： Jianxiong Xiao
CPC分类号： B60W60/0011 , B60W40/10 , B60W60/0027 , G01M17/00 , G06F30/20 , B60W2554/4041
摘要： A simulation test method for autonomous driving vehicle includes steps of: obtaining source data; constructing a simulation scene according to the source data; controlling a virtual vehicle to perform a simulation test in the simulation scene; detecting a virtual driving trajectory of the virtual vehicle at a predetermined time interval while performing the simulation test; calculating difference between a first position and a second position; adjusting perceptual information related to a coordinate of the first position as perceptual information related to a coordinate of the second position to obtain modified perceptual information when the difference exceeds a first preset value; controlling the virtual vehicle to perform the simulation test based on the modified perceptual information, and detecting the virtual driving trajectory of the virtual vehicle at the predetermined time interval again. Furthermore, a computer equipment and a medium are also provided.
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公开(公告)号：US11875577B2
公开(公告)日：2024-01-16
申请号：US17342549
申请日：2021-06-09
发明人： Jianxiong Xiao
IPC分类号： G06V20/58 , G06V20/40 , G05D1/02 , G08G1/0962
CPC分类号： G06V20/584 , G05D1/0246 , G06V20/46 , G08G1/09623
摘要： A generation method of high-precision map for recognizing traffic lights is provided. The generation method comprised steps of: obtaining road test data comprising video data of traffic lights; marking the video data in order to obtain marked data of the traffic lights, the marked data comprising states of the traffic lights and traffic lights information; using the video data and the marked data to generate a recognition model of the traffic lights; and storing the recognition model and the traffic lights information in a high-precision map to generate a high-precision map for recognizing the traffic lights. Furthermore, a method and system for recognizing traffic lights using high-precision map are also provided. The recognition model is stored in the high-precision map, and cooperating with the high-precision map to effectively recognize the traffic lights.
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公开(公告)号：USD941118S1
公开(公告)日：2022-01-18
申请号：US29721215
申请日：2020-01-18
设计人： Chengbo Li , Jianxiong Xiao , Zhuo Li , Yuhan Long , Peng Liu , Janwei Pan
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