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公开(公告)号：US11511760B2
公开(公告)日：2022-11-29
申请号：US16643154
申请日：2020-01-23
发明人： Yu Wang , Qi Luo , Yu Cao , Zongbao Feng , Longtao Lin , Xiangquan Xiao , Jinghao Miao , Jiangtao Hu , Jingao Wang , Shu Jiang , Jinyun Zhou , Jiaxuan Xu
IPC分类号： B60W40/105 , G06F16/23 , G06F16/9035 , B60W50/00
摘要： Systems and methods are disclosed for collecting driving data from simulated autonomous driving vehicle (ADV) driving sessions and real-world ADV driving sessions. The driving data is processed to exclude manual (human) driving data and to exclude data corresponding to the ADV being stationary (not driving). Data can further be filtered based on driving direction: forward or reverse driving. Driving data records are time stamped. The driving data can be aligned according to the timestamp, then a standardized set of metrics is generated from the collected, filtered, and time-aligned data. The standardized set of metrics are used to grade the performance the control system of the ADV, and to generate an updated ADV controller, based on the standardized set of metrics.
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公开(公告)号：US10372743B2
公开(公告)日：2019-08-06
申请号：US15215492
申请日：2016-07-20
申请人： Baidu USA, LLC
发明人： Shulong Tan , Hongliang Fei , Yi Zhen , Yu Cao , Bocong Liu , Chaochun Liu , Richard Chun Ching Wang , Dawen Zhou , Wei Fan
摘要： Systems and methods are disclosed to identify entities that have a similar meaning, and may, in embodiments, be grouped into entity groups for knowledge base construction. In embodiments, the entity relations of similarity or non-similarity for an entity pair are predicted as a binary relationship. In embodiments, the prediction may be based upon similarity score between the entities and the entity features, which features are constructed using an entity feature or representation model. In embodiments, the prediction may be an iterative process involving minimum human checking and existing knowledge update. In embodiments, one or more entity groups are formed using graph search from the predicted entity pairs. In embodiments, a group centroid entity may be selected to represent each group based on one or more factors, such as its generality or popularity.
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公开(公告)号：US10747228B2
公开(公告)日：2020-08-18
申请号：US15640875
申请日：2017-07-03
申请人： Baidu USA LLC
发明人： Jun Zhan , Yiqing Yang , Siyang Yu , Xuan Liu , Yu Cao , Zhang Li , Guang Yang
摘要： An autonomous driving system includes a number of sensors and a number of autonomous driving modules. The autonomous driving system further includes a global store to store data generated and used by processing modules such as sensors and/or autonomous driving modules. The autonomous driving system further includes a task scheduler coupled to the sensors, the autonomous driving modules, and the global store. In response to output data generated by any one or more of processing modules, the task scheduler stores the output data in the global store. In response to a request from any of the processing modules for processing data, the task scheduler provides input data stored in the global store to the processing module. The task scheduler is executed in a single thread that is responsible for managing data stored in the global store and dispatching tasks to be performed by the processing modules.
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公开(公告)号：US20180025008A1
公开(公告)日：2018-01-25
申请号：US15215492
申请日：2016-07-20
申请人： Baidu USA, LLC
发明人： Shulong Tan , Hongliang Fei , Yi Zhen , Yu Cao , Bocong Liu , Chaochun Liu , Richard Chun Ching Wang , Dawen Zhou , Wei Fan
IPC分类号： G06F17/30
CPC分类号： G06F16/355 , G06F16/3331
摘要： Systems and methods are disclosed to identify entities that have a similar meaning, and may, in embodiments, be grouped into entity groups for knowledge base construction. In embodiments, the entity relations of similarity or non-similarity for an entity pair are predicted as a binary relationship. In embodiments, the prediction may be based upon similarity score between the entities and the entity features, which features are constructed using an entity feature or representation model. In embodiments, the prediction may be an iterative process involving minimum human checking and existing knowledge update. In embodiments, one or more entity groups are formed using graph search from the predicted entity pairs. In embodiments, a group centroid entity may be selected to represent each group based on one or more factors, such as its generality or popularity.
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公开(公告)号：US20180011979A1
公开(公告)日：2018-01-11
申请号：US15207445
申请日：2016-07-11
申请人： Baidu USA, LLC
发明人： Erheng Zhong , Chaochun Liu , Yusheng Xie , Nan Du , Hongliang Fei , Yi Zhen , Yu Cao , Richard Chun Ching Wang , Dawen Zhou , Wei Fan
CPC分类号： G06F16/9024 , G16H10/20 , G16H50/20 , G16H50/30 , G16H50/70
摘要： Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.
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6.发明申请公开(公告)号：US20170344711A1
公开(公告)日：2017-11-30
申请号：US15169470
申请日：2016-05-31
申请人： Baidu USA LLC
发明人： Bocong Liu , Yu Cao , Richard Wang
CPC分类号： G06N5/022 , G06F19/326 , G06N20/00 , G16H50/20
摘要： In response to receiving a user inquiry describing one more symptoms of a medical condition, an online medical diagnosis system can determine one or more medical conditions related to the one or more symptoms. The online medical diagnosis system can include a parser to parse the user inquiry into keywords. The keywords can be looked up in a correlation graph model to determine a correlation of the keywords to one or more expert keywords. Keywords meeting a threshold correlation to expert keywords can be used to look up one or more medical conditions using an expert knowledge graph model. A user profile can be used to modify correlation values of keywords to expert keywords. The user profile can also be used to narrow the number medical conditions returned by the expert knowledge graph model. A medical resources crawler can use keywords parsed from stored user inquiries, and expert keywords, to update the correlation graph model.
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公开(公告)号：US11194860B2
公开(公告)日：2021-12-07
申请号：US15207445
申请日：2016-07-11
申请人： Baidu USA, LLC
发明人： Erheng Zhong , Chaochun Liu , Yusheng Xie , Nan Du , Hongliang Fei , Yi Zhen , Yu Cao , Richard Chun Ching Wang , Dawen Zhou , Wei Fan
IPC分类号： G06F16/901 , G16H50/70 , G16H10/20 , G16H50/30 , G16H50/20
摘要： Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.
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公开(公告)号：US10732634B2
公开(公告)日：2020-08-04
申请号：US15640842
申请日：2017-07-03
申请人： Baidu USA LLC
发明人： Yiqing Yang , Siyang Yu , Xuan Liu , Yu Cao , Zhang Li , Jun Zhan , Guang Yang
摘要： An event queue is maintained to store IO events generated from a number of sensors and timer events generated for a number of autonomous driving modules. For each of the events pending in the event queue, in response to determining that the event is an IO event, the data associated with the IO event is stored in a data structure associated with the sensor in a global store. In response to determining that the event is a timer event, a worker thread associated with the timer event is launched. The worker thread executes one of the autonomous driving modules triggered or initiated the timer event. Input data is retrieved from the global store and provided to the worker thread to allow the worker thread to process the input data.
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公开(公告)号：US10031526B1
公开(公告)日：2018-07-24
申请号：US15640885
申请日：2017-07-03
申请人： Baidu USA LLC
发明人： Zhang Li , Jun Zhan , Yiqing Yang , Xuan Liu , Yu Cao , Siyang Yu , Guang Yang
摘要： Described is a system (and method) for generating a driving scenario for an autonomous driving simulator. The system may use a camera mounted to a vehicle as a cost effective approach to obtain real-life driving scenario data. The system may then analyze the two-dimensional image data to create a three-dimensional driving simulation. The analysis may include detecting objects (e.g. vehicles, pedestrians, etc.) within the two-dimensional image data and determining movements of the object based on a position, trajectory, and velocity of the object. The determined information of the object may then be projected onto a map that may be used for generating the three-dimensional driving simulation. The use of cost-effective cameras provides the ability to obtain vast amounts of driving image data that may be used to provide an extensive coverage of the potential types of driving scenarios an autonomous vehicle may encounter.
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