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1.发明公开公开(公告)号：US20240363004A1
公开(公告)日：2024-10-31
申请号：US18665241
申请日：2024-05-15
申请人： CAVH LLC
发明人： Bin Ran , Kaijie Luo , Yuan Zheng , Qiao Yang , Yang Cheng , Tianyi Chen , Shen Li , Jing Jin , Xiaoxuan Chen , Fan Ding , Zhen Zhang
IPC分类号： G08G1/01 , G08G1/017 , G08G1/04 , G08G1/042 , G08G1/07 , G08G1/0968 , H04L67/00 , H04L67/12 , H04W84/00
CPC分类号： G08G1/0145 , G08G1/0112 , G08G1/0129 , G08G1/0133 , G08G1/017 , G08G1/07 , G08G1/0968 , H04L67/00 , G08G1/04 , G08G1/042 , H04L67/12 , H04W84/005
摘要： The invention provides an autonomous vehicle and center guidance system (AVCGS) for drone/tele driving or digital twins by sending guidance instructions to an autonomous vehicle (AV) or a connected automated vehicle (CAV). The AVCGS is a component of a Connected Automated Vehicle Highway (CAVH) system. This AVCGS is configured to operate AVs or CAVs using a hierarchy of traffic control centers/units (TCCs/TCUs). The AVCGS comprises automatic or semi-automated computational modules, a TCC/TCU communication module, and/or an onboard unit (OBU) communication module and a vehicle control module. The AVCGS communicates with one or more entities. The vehicle-specific guidance instructions and information comprise vehicle maneuver, safety maintenance, traffic control/road condition, and special information. The AVCGS provides backup in case of any errors or failures. Specifically, through the AVCGS, AVs or CAVs can be effectively and efficiently operated.
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公开(公告)号：US12131630B2
公开(公告)日：2024-10-29
申请号：US17786936
申请日：2020-12-21
CPC分类号： G08G1/0141 , G08G1/0112 , G08G1/0129 , G08G1/065
摘要： There is provided a method for generating traffic data indicative of a traffic volume and/or traffic density within a navigable network in an area covered by an electronic map, the electronic map comprising a plurality of segments representing navigable elements of the navigable network. The method generally comprises obtaining data indicative of a count of devices associated with vehicles traversing the navigable element represented by the segment in respect of a given time, wherein the count of devices is based on positional data and associated timing data relating to the movement of a plurality of devices associated with vehicles along the navigable element represented by the segment; and using the determined count data and an scaling coefficient to obtain data indicative of an estimated traffic volume for the segment in respect of the given time, wherein the scaling coefficient is time dependent.
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公开(公告)号：US20240355205A1
公开(公告)日：2024-10-24
申请号：US18429553
申请日：2024-02-01
申请人： Aleksei KUKISHEV
发明人： Aleksei KUKISHEV
CPC分类号： G08G1/164 , G08G1/0129 , G08G1/0137
摘要： An apparatus and method are provided, which allow vehicle drivers to be efficiently warned of approaching accident-prone road sections. For this purpose, geographical coordinates of a moving vehicle of a driver are compared with geographical coordinates of boundaries of each of one or more pre-stored accident-prone road sections within a geographical area of interest. As a result of said comparison, an approaching accident-prone road section is determined for the moving vehicle. When the distance between the moving vehicle and the approaching accident-prone road section is equal to a threshold distance, a warning signal is generated and outputted to the driver. The warning signal comprises information about the approaching accident-prone road section that is defined based on accident-related data for each traffic accident occurred on the approaching accident-prone road section during a time period of interest.
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公开(公告)号：US12112633B2
公开(公告)日：2024-10-08
申请号：US16337906
申请日：2017-09-29
申请人： TomTom Traffic B.V.
CPC分类号： G08G1/147 , G01C21/3492 , G01C21/3685 , G01C21/3691 , G08G1/0112 , G08G1/0129 , G08G1/0133 , G08G1/0141
摘要： A method is disclosed for generating parking related data in respect of one or more navigable elements of a navigable network within a geographic area, each navigable element being represented by a segment of an electronic map, the electronic map comprising a plurality of segments representative of the navigable network. The method comprises obtaining positional data relating to trips made by vehicles in the navigable network, each trip being a journey between stationary periods indicative of the vehicle being in a parked state. The method comprises, for each one of the plurality of trips, analysing the positional data to identify a parking space search portion of the trip; and analysing the positional data corresponding to the parking space search portions of the trips to obtain, for each one of a plurality of segments of the electronic map, a parking related parameter associated with the segment.
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公开(公告)号：US12112630B2
公开(公告)日：2024-10-08
申请号：US18048516
申请日：2022-10-21
发明人： Zehua Shao , Haitang Xiang , Yaqiang Quan , Yong Li , Xiaojun Wei
摘要： The embodiments of the present disclosure provide a method for recommending a parking lot in a smart city and an Internet of Things system, implemented based on a management platform of an Internet of Things system for recommending a parking lot in a smart city. The method includes: determining an arrival duration of a user reaching at least one candidate parking lot and a prediction time period corresponding to each candidate parking lot in the at least one candidate parking lot based on a user request; determining an occupation rate of the candidate parking lot during the prediction time period; and determining a recommended parking lot at least based on the occupation rate of the candidate parking lot during the prediction time period and parking lot information of the candidate parking lot.
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公开(公告)号：US12112622B2
公开(公告)日：2024-10-08
申请号：US17024080
申请日：2020-09-17
发明人： Jiachen Li , Chiho Choi
CPC分类号： G08G1/0133 , G06F17/18 , G08G1/0129 , G08G1/015
摘要： The systems and methods herein utilize interactive Gaussian processes for crowd navigation. For example, an encoder receives sensor data and context information. The encoder also extracts interaction patterns from observed trajectories from the sensor data and context information. The encoder further generates a static latent interaction graph for a first time step based on the interaction patterns. A recurrent module generates a distribution of time dependent static latent interaction graphs iteratively from the first time step for a series of time steps based on the static latent interaction graph. The series of time steps are separated by a re-encoding gap. The decoder generates multi-modal distribution of future states based on the distribution of time dependent static latent interaction graphs.
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公开(公告)号：US20240331531A1
公开(公告)日：2024-10-03
申请号：US18141334
申请日：2023-04-28
发明人： Yashar Zeiynali Farid , Hao Yang , Seyhan Ucar , Kentaro Oguchi
IPC分类号： G08G1/01
CPC分类号： G08G1/0141 , G08G1/0112 , G08G1/0129 , G08G1/0133
摘要： An example operation includes one or more of receiving traffic data uploaded from vehicles that are currently operating within a geographic area via a computer network, generating a plurality of macroscopic fundamental diagrams (MFDs) for a plurality of sub-areas within the geographic area, respectively, based on the received traffic data, identifying a sub-area among the plurality of sub-areas which is congested based on the plurality of MFDs, and transmitting routing instructions to the vehicles within the geographic area to divert the vehicles away from the sub-area.
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公开(公告)号：US20240321106A1
公开(公告)日：2024-09-26
申请号：US18189414
申请日：2023-03-24
发明人： Bo Yu , Brent Navin Roger Bacchus , Jiabin Shen , Yuan Zhang , Wenyuan Qi
CPC分类号： G08G1/167 , G08G1/0129 , G01C21/206
摘要： A method can be used to provide smart notifications to avoid collisions while the vehicle maneuvers in a tight structural environment, such as a home garage or an underground parking lot. The method includes receiving historical vehicle-trajectory data. The historical vehicle-trajectory data includes the location and the heading of the vehicle for each of the plurality of historical trajectories along the structure. The method further includes clustering the plurality of historical trajectories of the vehicle along the structure by types of maneuvers to generate a plurality of trajectory clusters. The method also includes creating a probability distribution bitmap using the plurality of trajectory clusters and creating a topographic map based on the probability distribution bitmap.
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公开(公告)号：US12067866B2
公开(公告)日：2024-08-20
申请号：US17279186
申请日：2019-09-24
申请人： AVL LIST GMBH
发明人： Pavlo Tkachenko , Jinwei Zhou , Luigi Del Re
IPC分类号： G08G1/01
CPC分类号： G08G1/0129
摘要： The invention relates to a method and to a device for analyzing a sensor data stream, which characterizes a vehicle environment, with respect to a presence of traffic scenarios. The invention further relates to a method for guiding a vehicle. A similarity measure, which indicates the degree of correspondence between a section of the sensor data stream and at least one template stored in a database, is determined by mapping the section of the sensor data stream to the at least one template, preferably by means of dynamic time normalization. The template thereby characterizes a known traffic scenario. The known traffic scenario is assigned to the section of the sensor data stream, if the similarity measure satisfies a predetermined similarity criterion.
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公开(公告)号：US12067865B2
公开(公告)日：2024-08-20
申请号：US16601793
申请日：2019-10-15
发明人： Yong Yang , Liguang Sun , Hongchao Zhao , Hongying Jiang
CPC分类号： G08G1/0129 , G01C21/3453 , G06N5/02 , G08G1/0112 , G08G1/052
摘要： A method includes: obtaining a number of vehicles passing a driving road segment within a duration; determining whether the driving road segment is a sparse road segment by determining whether the number of vehicles is less than or equal to a vehicle threshold; obtaining first real-time driving data transmitted by a first vehicle the target road segment, and obtaining first driving characteristic-information of the target road segment based on the first real-time driving data; obtaining second real-time driving data transmitted by a second vehicle passing a topology road segment, and obtaining second driving characteristic-information of the target road segment based on the second real-time driving data, the topology road segment being a road segment within a target range of the target road segment; and generating road-condition information of the target road based on at least the second driving characteristic-information.
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