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公开(公告)号:US12067507B2
公开(公告)日:2024-08-20
申请号:US18506670
申请日:2023-11-10
IPC分类号: G06Q10/047 , G06F16/29 , G06Q10/02 , G06Q10/0631 , G06Q10/0835 , G06Q50/40 , H04W4/02 , H04W4/40
CPC分类号: G06Q10/047 , G06F16/29 , G06Q10/02 , G06Q10/06315 , G06Q10/08355 , G06Q50/40 , H04W4/027 , H04W4/40
摘要: A method, a computer-readable medium, and an apparatus for transport service are provided. The apparatus may receive a plurality of transport service transactions associated with a point of interest entity. For each transport service transaction, the apparatus may determine a transport service location at which the transport service transaction is executed. The apparatus may cluster the transport service locations determined for the plurality of transport service transactions. The apparatus may determine one or more candidate transport service locations for the point of interest entity based on the clustering. The apparatus may provide the one or more candidate transport service locations to a client or a service provider associated with a transport service transaction that is to be executed at the point of interest entity.
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公开(公告)号:US12055643B2
公开(公告)日:2024-08-06
申请号:US18462886
申请日:2023-09-07
发明人: Simon Lim Hao Wooi , Minbo Qiu , Xiaocheng Huang , Zhengmin Xu , Guanfeng Wang
CPC分类号: G01S19/40 , G01C21/3837 , G01S19/396 , G06N7/01
摘要: Aspects concern a method for correcting position estimates of a movable object. According to various embodiments, the method comprises establishing (1001) a hidden Markov model HMM, instance for a movable object and, for positioning times of a sequence of positioning times, receiving (1002) a position estimate from a positioning device of the movable object for a respective positioning time, determining (1003) a set of candidate path segments for the positioning time, determining (1004) likelihoods for the candidate path segments to correspond to the position estimate by application of the Viterbi algorithm to the HMM instance, expanding (1005) the HMM instance by the determined likelihoods for the candidate path segments for the positioning time and determining (1006) a corrected position estimate from a candidate path segment of the set of candidate path segments with the highest likelihood.
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公开(公告)号:US20240078488A1
公开(公告)日:2024-03-07
申请号:US18260851
申请日:2022-05-12
IPC分类号: G06Q10/0631 , G06N3/04 , G06N3/092
CPC分类号: G06Q10/06316 , G06N3/04 , G06N3/092
摘要: Aspects concern a method for controlling vehicles to perform transport tasks comprising supplying information about vehicles and information about transport tasks to a graph neural network by associating each vehicle with a vehicle graph node and each transport task with a transport task graph node, processing the vehicle and the transport graph by the neural network, wherein the neural network determines a feature for each graph node, determining, for each pair of a transport graph node and vehicle graph node, a weight representing a similarity between the features determined for the transport graph node and the vehicle graph node, selecting an assignment between the transport graph nodes and the vehicle graph nodes from a set of possible assignments, wherein the selected assignment maximizes the sum of the weights of the pairs and controlling each vehicle according to the selected assignment.
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4.
公开(公告)号:US20240077331A1
公开(公告)日:2024-03-07
申请号:US18490284
申请日:2023-10-19
发明人: Yifang YIN , Jagannadan VARADARAJAN , Roger ZIMMERMANN , Wenmiao HU , An TRAN , Guanfeng WANG
CPC分类号: G01C21/3852 , G06V10/803 , G06V10/82 , G06V20/13 , G06V20/182
摘要: A method of predicting one or more road segment attributes corresponding to a road segment in a geographical area, the method including: providing trajectory data and satellite image of the geographical area; calculating one or more image channels based on the trajectory data; and using at least one processor, classi-fying the road segment based on the one or more image channels and the satellite image using a trained classifier into prediction probabil-ities of the road attributes A data processing system including one or more processors configured to carry out a the method of predicting road attributes. A computer executable code including instructions for predicting one or more road segment attributes according to the method.
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公开(公告)号:US20240077325A1
公开(公告)日:2024-03-07
申请号:US18486271
申请日:2023-10-13
发明人: Xiang Hui Nicholas LIM , See Kiong NG , Kuen Yew Bryan HOOI , Renrong WENG , Jagannadan VARADARAJAN
CPC分类号: G01C21/3617 , G06N3/044 , G06N3/045 , G06N3/08 , G06Q50/30
摘要: Aspects concern a method for predicting the destination location of a vehicle, comprising processing a local preference graph of a user of the vehicle having nodes corresponding to locations visited before by the user by a first graph neural network, processing one or more of a spatial graph representing information about geographical proximity of locations, a temporal graph representing information about locations which have been visited one after another by users and the time between the visits of the locations and a preference graph representing information about locations which have been visited one after another and the frequency of visits of the locations by a second graph neural network, combining the result of the processing by the first graph neural network and the result of the processing by the second graph neural network by at least one neural network layer and using the output of the at least one neural network layer as prediction of the destination location.
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公开(公告)号:US20240044663A1
公开(公告)日:2024-02-08
申请号:US18256649
申请日:2022-02-09
发明人: Xiang Hui Nicholas LIM , Bryan Kuen Yew HOOI , See Kiong NG , Xueou WANG , Yong Liang GOH , Renrong WENG , Rui TAN
CPC分类号: G01C21/3617 , G01C21/3484 , G01C21/3446
摘要: A system for predicting a destination location may include one or more processors and a memory having instructions stored therein. The one or more processors may use at least one recurrent neural network to: process spatial data which may include a first set of information about origin locations and destination locations; process temporal data which may include a second set of information about times at the origin locations and the destination locations; determine hidden state data based on the spatial data and the temporal data, wherein the hidden state data may include data on origin-destination relationships; receive a current input data from a user, wherein the current input data may include an identity of the user and the current origin location of the user; and predict the destination location based on the hidden state data and the current input data.
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公开(公告)号:US11836652B2
公开(公告)日:2023-12-05
申请号:US17419625
申请日:2019-02-13
IPC分类号: G06Q10/02 , G06Q10/047 , G06F16/29 , G06Q10/0631 , G06Q10/0835 , G06Q50/30 , H04W4/02 , H04W4/40
CPC分类号: G06Q10/047 , G06F16/29 , G06Q10/02 , G06Q10/06315 , G06Q10/08355 , G06Q50/30 , H04W4/027 , H04W4/40
摘要: A method, a computer-readable medium, and an apparatus for transport service are provided. The apparatus may receive a plurality of transport service transactions associated with a point of interest entity. For each transport service transaction, the apparatus may determine a transport service location at which the transport service transaction is executed. The apparatus may cluster the transport service locations determined for the plurality of transport service transactions. The apparatus may determine one or more candidate transport service locations for the point of interest entity based on the clustering. The apparatus may provide the one or more candidate transport service locations to a client or a service provider associated with a transport service transaction that is to be executed at the point of interest entity.
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8.
公开(公告)号:US11828620B2
公开(公告)日:2023-11-28
申请号:US18012130
申请日:2021-08-03
发明人: Yifang Yin , Jagannadan Varadarajan , Roger Zimmermann , Wenmiao Hu , An Tran , Guanfeng Wang
CPC分类号: G01C21/3852 , G06V10/803 , G06V10/82 , G06V20/13 , G06V20/182
摘要: A method of predicting one or more road segment attributes corresponding to a road segment in a geographical area, the method including: providing trajectory data and satellite image of the geographical area; calculating one or more image channels based on the trajectory data; and using at least one processor, classifying the road segment based on the one or more image channels and the satellite image using a trained classifier into prediction probabilities of the road attributes A data processing system including one or more processors configured to carry out a the method of predicting road attributes. A computer executable code including instructions for predicting one or more road segment attributes according to the method.
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公开(公告)号:US20230368658A1
公开(公告)日:2023-11-16
申请号:US18028938
申请日:2021-10-26
CPC分类号: G08G1/0125 , G01C21/3841 , G01C21/3819
摘要: A processing apparatus for traffic management of a network of roads is provided, to, generate, based on journey data sets, first count data indicative of a first count of the road users travelling on an incoming road leading to the intersection node, and second count data indicative of a second count of the road users travelling on an outgoing road of at least two outgoing roads, each outgoing road leading away from the intersection node, generate result data indicative of a result that is determined based on the first count and the second count, if the result satisfies a condition for restriction, generate restriction data indicative of a restriction of traffic from the incoming road to the outgoing road via the intersection node, and generate, based on an angular relationship between the outgoing road and the incoming road, type data indicative of a type of the restriction.
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公开(公告)号:US20230306004A1
公开(公告)日:2023-09-28
申请号:US18036258
申请日:2022-01-03
发明人: Wenjie XU , Sien Yi TAN , Yosua Michael MARANATHA
IPC分类号: G06F16/215 , G06F16/29 , G06F16/28
CPC分类号: G06F16/215 , G06F16/29 , G06F16/285
摘要: An automated computer implemented method of deduplicating point of interest of computer implemented database including: standardizing data of a pair of records, wherein equivalent words with different spelling may be normalized to a single spelling; classifying the pair of records into a category of pre-defined address categories; carrying out a category specific determination of non-duplicate and failing to determine that the pair of records may be a category specific non-duplicate; tokenizing the data of the pair of records into a pair of tokenized records; determining that core words of the pair of records are linked by computing scores of cross information and distance; and determining whether the scores pass a pre-determined threshold. An aspect of the disclosure relates to an electronic data processing system, a data processing apparatus, a non-transitory computer-readable medium, and a computer executable code for deduplicating point of interest of computer implemented database.
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