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公开(公告)号：US20240035844A1
公开(公告)日：2024-02-01
申请号：US18484069
申请日：2023-10-10
发明人： Evan HOSSAIN , Hao WU , Xiaochenq HUANG , Padarn George WILSON , Guanfeng WANG
IPC分类号： G01C21/00 , G06F16/215 , G06F16/29 , G08G1/0968 , G08G1/00
CPC分类号： G01C21/3815 , G06F16/215 , G06F16/29 , G01C21/3859 , G01C21/3867 , G08G1/096827 , G08G1/09685 , G08G1/202
摘要： Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.
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公开(公告)号：US20240159546A1
公开(公告)日：2024-05-16
申请号：US18261548
申请日：2022-03-30
发明人： Hao WU , Minglei SU , Thanh DAT LE , Nuo XU , Guanfeng WANG , Mihai STROE
CPC分类号： G01C21/3438 , G01C21/3446 , G01C21/3492 , G01C21/3694
摘要： Aspects concern a method for identifying a list of nearest vehicles including receiving a ride request comprising a request position; obtaining vehicle information of a plurality of vehicles, wherein the vehicle information comprises a vehicle position; translating the vehicle position information of each of the plurality of vehicles to positions on an edge based graph, wherein the edge based graph represents a road system; and determining a driving distance between at least one of the vehicle positions of the plurality of vehicles and the request position, wherein the driving distance comprises a distance the at least one vehicle travels along the road system to reach the request position.
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3.发明公开公开(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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4.发明公开公开(公告)号：US20230266144A1
公开(公告)日：2023-08-24
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 , G06V10/82 , G06V10/803 , 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：US20230095655A1
公开(公告)日：2023-03-30
申请号：US17636854
申请日：2020-06-22
发明人： Evan HOSSAIN , Hao WU , Xiaocheng HUANG , Padarn George WILSON , Guanfeng WANG
IPC分类号： G01C21/00 , G06F16/215 , G06F16/29 , G08G1/0968 , G08G1/00
摘要： Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.
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公开(公告)号：US20240210204A1
公开(公告)日：2024-06-27
申请号：US18553315
申请日：2022-05-10
CPC分类号： G01C21/3815 , G01C21/3841 , G06T7/0002 , G06T7/70 , G06T17/05 , G06T2207/20081 , G06T2207/30184 , G06T2207/30252
摘要： A system configured for managing orders is disclosed. The system may include one or more processor(s) which may collect first 2D training image data; collect second 2D training image data; construct a 3D map for the geographical area based on the first training image data and the second training image data; determine a likelihood of a potential missing feature in the 3D map based on the first 2D training image data and the second 2D training image data; collect third 2D training image data comprising third map images of the geographical area acquired by the one or more image acquisition apparatus if the likelihood of the potential missing feature is above a predetermined threshold; and generate the road map based on the first 2D training image data, the second 2D training image data and the third 2D training image data.
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公开(公告)号：US20240202609A1
公开(公告)日：2024-06-20
申请号：US18556899
申请日：2022-06-08
发明人： Chunda DING , Zerun DONG , Jiang LIU , Nuo XU , Guanfeng WANG
摘要： A communications server apparatus for a distributed sharding database related to a transportation service comprising a processor and a memory, the communications server apparatus being configured, under control of the processor, to execute instructions stored in the memory to: determine whether rebalancing of a plurality of shard replicas stored on a plurality of server instances is required based on two or more quantitative metrics; if rebalancing is required, select a plurality of candidate rebalancing plans; and rank the candidates, and execute a selected rebalancing plan from the ranking if two or more quantitative metrics criteria are met for the selection.
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公开(公告)号：US20230417931A1
公开(公告)日：2023-12-28
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 , G01S19/396 , G01C21/3837 , 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：US20230304826A1
公开(公告)日：2023-09-28
申请号：US18020595
申请日：2021-07-07
IPC分类号： G01C21/00 , G06N3/0475 , G06N3/094
CPC分类号： G01C21/3852 , G01C21/3848 , G06N3/0475 , G06N3/094
摘要： A method for generating map data comprising training a generator neural network by acquiring training data elements and training a generative adversarial network, comprising training a generator neural network to generate, for a satellite image and a road usage image of a training data element, the map data image of the training data element and comprising generating map data for a geographical region by acquiring road usage information specifying which parts of a geographical area have been used for driving a vehicle, acquiring a satellite image of the geographical area, forming a road usage image of the geographical area which has pixels, each pixel corresponding to a respective part of the geographical area and having a value indicating whether its part of the geographical area is specified by the road usage information to have been used; and feeding the satellite image and the road usage image to the trained generator neural network.
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公开(公告)号：US20230213663A1
公开(公告)日：2023-07-06
申请号：US18009117
申请日：2021-04-13
发明人： Hao Wooi Simon LIM , Minbo QIU , Xianocheng HUANG , Zhengmin XU , Guanfeng WANG
CPC分类号： G01S19/40 , G01S19/396 , G06N7/01 , G01C21/3837
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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