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公开(公告)号：US20210192423A1
公开(公告)日：2021-06-24
申请号：US17190047
申请日：2021-03-02
发明人： Yaozhang PAN , Swara DESAI , Yang CAO , Kong-Wei LYE , Kevin LEE
摘要： A method for multiple-round driver selection performed by a computing system, the method including receiving a service request from a user device; identifying a plurality of driver candidates based in part on the service request, such that each of the plurality of driver candidates has driver data; for each of the plurality of driver candidates, generating a score based on the driver data; grouping the plurality of driver candidates into a plurality of candidate groups based in part on the score of each of the plurality of driver candidates; iteratively transmitting a job request to each candidate group of the plurality of candidate groups until one or more job acceptance is received in response to the job request, such that the job request is transmitted to all drivers in each candidate group; selecting one of the one or more job acceptances; and assigning the service request to the driver associated with the selected one of the one or more job acceptances.
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公开(公告)号：US20240354665A1
公开(公告)日：2024-10-24
申请号：US18762004
申请日：2024-07-02
发明人： Donghan HE , Renrong WENG , Chongyu ZHOU , Ruike ZHANG
CPC分类号： G06Q10/025 , G06N3/091 , G06Q50/47
摘要： Aspects concern a method for controlling a transport system comprising determining historical data of a multiplicity of transport trips performed by the transport system, training a neural network to perform an invertible mapping of transport trips to latent representations to fulfil, by the distribution of the latent representations of the multiplicity of transport trips, a predetermined fitting criterion with respect to a predetermined latent representation base distribution, sampling a multiplicity of latent representations from the base distribution, mapping each of the sampled latent representations to a respective transport trip by using the trained neural network to perform the inverse of the invertible mapping to generate a multiplicity of synthetic transport trips, determining a control scheme for the transport system using the multiplicity of synthetic transport trips and controlling the transport system using the determined control scheme.
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公开(公告)号：US20240334192A1
公开(公告)日：2024-10-03
申请号：US18293445
申请日：2022-08-02
发明人： Advitiya VASHIST , Zhan Wei LIM
IPC分类号： H04W12/104 , H04W12/12
CPC分类号： H04W12/104 , H04W12/12
摘要： The present disclosure provides an apparatus and a method for determining a location-spoofing application, the method comprising: generating a numeric representation of an application name of an application used for generating a geolocation position signal of a user using a variable derived from a list of application names relating to a plurality of other applications capable of generating a geolocation position signal of a user; and determining a prediction on whether the application is a location-spoofing application based on a scale of the generated numeric representation of the application name.
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公开(公告)号：US12039469B2
公开(公告)日：2024-07-16
申请号：US18256659
申请日：2022-02-07
发明人： Donghan He , Renrong Weng , Chongyu Zhou , Ruike Zhang
CPC分类号： G06Q10/025 , G06N3/091 , G06Q50/47
摘要： Aspects concern a method for controlling a transport system comprising determining historical data of a multiplicity of transport trips performed by the transport system, training a neural network to perform an invertible mapping of transport trips to latent representations to fulfil, by the distribution of the latent representations of the multiplicity of transport trips, a predetermined fitting criterion with respect to a predetermined latent representation base distribution, sampling a multiplicity of latent representations from the base distribution, mapping each of the sampled latent representations to a respective transport trip by using the trained neural network to perform the inverse of the invertible mapping to generate a multiplicity of synthetic transport trips, determining a control scheme for the transport system using the multiplicity of synthetic transport trips and controlling the transport system using the determined control scheme.
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公开(公告)号：US20240233389A9
公开(公告)日：2024-07-11
申请号：US18279730
申请日：2022-05-10
摘要： Aspects concern a method for gathering image training data for training a machine learning model to detect features for vehicle navigation or vehicle control, comprising mounting a camera onto a vehicle or the driver of a vehicle, determining a location of the vehicle, determining a relevancy of the determined location for map data generation or vehicle control and recording a video with the camera if the determined relevancy is above a predetermined threshold and recording single images if the determined relevancy is below the predetermined threshold.
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公开(公告)号：US20240192005A1
公开(公告)日：2024-06-13
申请号：US18556470
申请日：2022-06-27
发明人： Suwei YANG , Chen LIANG , Kuldeep Singh MEEL
CPC分类号： G01C21/3484 , G06Q10/04 , G06Q50/47
摘要： Aspects concern a method for predicting a path taken by a vehicle for a transport task comprising obtaining training data specifying paths taken, representing a set of valid paths as a Boolean formula, converting the Boolean formula into an OBBD[Λ] comprising, for each variable of a set of variables on which the Boolean formula operates, a decision node representing the variable, wherein the decision node has, for each assignment of a value to the variable represented by the decision node, an outgoing edge associated with the value, augmenting each outgoing edge of each decision node with a probability depending on the number of times the location represented by the decision node was visited in the paths specified by the training data elements and predicting a path for a given transport task by sampling an assignment of values to the variables by traversing the OBBD[Λ].
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公开(公告)号：US11907275B2
公开(公告)日：2024-02-20
申请号：US17610075
申请日：2019-05-15
发明人： Dominic Widdows
CPC分类号： G06F16/3347 , G06F16/35
摘要： A communications server apparatus (100) is configured to receive (202) text data comprising at least one text data element associated with an abbreviated text unit. The text data element is compared (204) with a plurality of candidate text data elements from a representation of a given text database, each candidate text data element associated with a respective candidate text unit in the database. Values for a similarity measure between the at least one text data element and the candidate text data elements are determined (206), and candidate text data elements are processed (208) to select candidate text data elements with associated candidate text units having an ordered relationship with the abbreviated text unit. The similarity measure values and the candidate text data element selections are used (210) to nominate an associated candidate text unit as a disabbreviated text unit for the abbreviated text unit.
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公开(公告)号：US20240046785A1
公开(公告)日：2024-02-08
申请号：US18257672
申请日：2022-01-23
IPC分类号： G08G1/052
CPC分类号： G08G1/052 , G06N3/0464
摘要： A system for predicting road speed traffic is disclosed. The system may be configured to receive and process raw trajectory data to determine processed trajectory data; obtain node features representing information about road segment characteristics; obtain edge features representing information about interactions between the node features; determine a learned graph representation of a road network based on a node embedding of the node features and an edge embedding of the edge features; determine at least one hidden states value based on a graph convolution of the learned graph representation through the at least one encoder neural network; and predict road speed traffic based on the at least one hidden states value through at least one decoder neural network.
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公开(公告)号：US20240037461A1
公开(公告)日：2024-02-01
申请号：US18256659
申请日：2022-02-07
发明人： Donghan HE , Renrong WENG , Chongyu ZHOU , Ruike ZHANG
CPC分类号： G06Q10/025 , G06N3/091
摘要： Aspects concern a method for controlling a transport system comprising determining historical data of a multiplicity of transport trips performed by the transport system, training a neural network to perform an invertible mapping of transport trips to latent representations to fulfil, by the distribution of the latent representations of the multiplicity of transport trips, a predetermined fitting criterion with respect to a predetermined latent representation base distribution, sampling a multiplicity of latent representations from the base distribution, mapping each of the sampled latent representations to a respective transport trip by using the trained neural network to perform the inverse of the invertible mapping to generate a multiplicity of synthetic transport trips, determining a control scheme for the transport system using the multiplicity of synthetic transport trips and controlling the transport system using the determined control scheme.
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公开(公告)号：US20230394964A1
公开(公告)日：2023-12-07
申请号：US18031509
申请日：2021-09-15
发明人： Muhammad Rameez CHATNI , Munirul ABEDIN , Laiyi LIN , Miaojun LI
CPC分类号： G08G1/052 , G08G1/0112 , G08G1/123
摘要： A method of detecting overspeeding for a vehicle, the method including obtaining historical trajectory data of a fleet of geographical areas from an electronic database; determining, by a microprocessor of a server, a distribution of speed of the historical trajectory data for each geographical area; based on the distribution of speed, determining, by a microprocessor of an electronic device associated with the vehicle, that a current speed of the vehicle is above a threshold speed corresponding to a pre-determined percentile of the distribution. A system and a computer-readable medium storing computer executable code for the method.
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