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公开(公告)号：US11879739B2
公开(公告)日：2024-01-23
申请号：US17305868
申请日：2021-07-16
Applicant: HERE GLOBAL B.V.
Inventor： Leon Stenneth , Amarnath Nayak , Alex Averbuch , Bruce Bernhardt
CPC classification number: G01C21/3415 , G01C21/3461 , G01C21/3492 , G06N20/00
Abstract: Embodiments described herein may provide a method for identifying the location of a hazard, evaluating how long that hazard is likely to be present at the location, and providing an indication of the time to live of the hazard. Methods may include: receiving an indication of a hazard event, where the hazard event includes a timestamp and a location; map matching the location of the hazard event to a map-matched road segment; determining a time to live of the hazard event based, at least in part, on the timestamp and the map-matched road segment; providing an indication of the time to live of the hazard event as at least one of a database entry or a map user interface element; and providing for at least one of route guidance or navigational assistance based, at least in part, on the time to live of the hazard event.
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公开(公告)号：US11335192B1
公开(公告)日：2022-05-17
申请号：US17110041
申请日：2020-12-02
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Leon Stenneth , Alex Averbuch
Abstract: A system, a method, and a computer program product are disclosed for detecting a driving direction. The system may include: a memory to store computer-executable instructions; and one or more processors to execute the instructions to receive sensor data associated with a plurality of locations and determine trajectory data associated with the plurality of locations based on the sensor data and map data. Further, the one or more processors may execute the instructions to identify, based on the trajectory data, a set of unmatched locations from the plurality of locations. The set of unmatched locations comprises at least a first predetermined number of unmatched locations. Furthermore, the one or more processors may execute the instructions to detect the driving direction based on the set of unmatched locations and the map data.
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公开(公告)号：US12230139B2
公开(公告)日：2025-02-18
申请号：US17529989
申请日：2021-11-18
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Jerome Beaurepaire
IPC: G08G1/01 , G06N20/00 , G08G1/0967 , G08G1/0968 , G08G1/16
Abstract: System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Traffic violation data from one region is used to train a model that is applied to a second region for which traffic violation data does not exist or is limited.
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公开(公告)号：US12152901B2
公开(公告)日：2024-11-26
申请号：US17824521
申请日：2022-05-25
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Leon Stenneth , Alex Averbuch
Abstract: A system, a method, and a computer program product may be provided for processing event data. For example, event data relating to an occurrence of an event corresponding to a first tile is received, and a first count value associated with the received event data is determined. A threshold count value associated with the event within the first tile is obtained, and dynamic switching between a link-based processing and a tile-based processing is performed, based on a comparison between the first count value and the threshold count value, wherein on determining the first count value to be greater than the threshold count value, the tile-based processing is performed, and on determining the first count value to be lesser than the threshold count value, the link-based processing is performed.
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公开(公告)号：US10896334B2
公开(公告)日：2021-01-19
申请号：US16203239
申请日：2018-11-28
Applicant: HERE GLOBAL B.V.
Inventor： Amarnath Nayak , Leon Stenneth , Alex Averbuch
Abstract: A method is provided for prediction of a physical divider on a road. The method comprises retrieving vehicular sensor data, map data, or a combination thereof captured over a predefined period of time for at least one segment of the road. The method further comprises aggregating the respective vehicular sensor data, map data, or the combination thereof for the at least one segment of the road to generate one or more aggregated values. The method further comprises generating output data corresponding to presence of the physical divider in the at least one segment of the road by a machine learning model based on the one or more aggregated values as an input to the machine learning model.
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Patent Agency Ranking
公开(公告)号：US12283180B2
公开(公告)日：2025-04-22
申请号：US17976126
申请日：2022-10-28
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Jerome Beaurepaire
IPC: G08G1/01 , G08G1/00 , G08G1/0967 , G08G1/0968
Abstract: The disclosure provides a system, a method, and a computer program product for verification of traffic incident. The system may be configured to receive a traffic incident trigger. Based on the traffic incident trigger, the system may select one or more vehicles for verification of the traffic incident detected at a location. The system may determine a route of travel for each vehicle of the selected one or more vehicles based on the location of the detected traffic incident. The system may reroute the selected one or more vehicles on the respective route of travel determined for each vehicle. The selected one or more vehicles are rerouted to record data of the traffic incident. The system may further verify the detected traffic incident based on the data of the traffic incident recorded by the rerouted one or more vehicles.
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公开(公告)号：US20240212359A1
公开(公告)日：2024-06-27
申请号：US18087388
申请日：2022-12-22
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Bruce Bernhardt
CPC classification number: G06V20/58 , G01C21/3469 , G06T7/10 , G06V10/26 , G06V10/82 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30236 , G06T2207/30242 , G06T2207/30252 , G06V2201/08
Abstract: Systems and methods are described for the vehicle emission measurement. An example method may include receiving a plurality of images from a first vehicle traveling on a section of roadway, determining a quantity of surrounding vehicles from the plurality of images, determining a cropped image of at least one of the surrounding vehicles from the plurality of images, identifying a model of the at least one of the surrounding vehicles from the cropped image, and calculating an emission measurement factor for the section of roadway based on at least the quantity of surrounding vehicles for the at least one of the surrounding vehicles.
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公开(公告)号：US20230154332A1
公开(公告)日：2023-05-18
申请号：US17529989
申请日：2021-11-18
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Jerome Beaurepaire
IPC: G08G1/16 , G08G1/01 , G08G1/0967 , G08G1/0968 , G06N20/00
CPC classification number: G08G1/166 , G08G1/0129 , G08G1/0133 , G08G1/0112 , G08G1/096716 , G08G1/096888 , G06N20/00
Abstract: System and methods for determining traffic violation hotspots based on roadway feature and/or sensor data. Traffic violation hotspots include, for example areas where traffic violations are more likely to occur such as traffic light jumping, wrong way driving, over speeding, not wearing seatbelt, avoiding stop signs and red lights, distracted driving, passing other vehicles in a no-passing zone, among others. Traffic violation data from one region is used to train a model that is applied to a second region for which traffic violation data does not exist or is limited.
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公开(公告)号：US11537944B2
公开(公告)日：2022-12-27
申请号：US16738652
申请日：2020-01-09
Applicant: HERE Global B.V.
Inventor： Amarnath Nayak , Leon Stenneth , Alex Averbuch
Abstract: A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.
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公开(公告)号：US20220135043A1
公开(公告)日：2022-05-05
申请号：US17087089
申请日：2020-11-02
Applicant: HERE Global B.V.
Inventor： Leon Stenneth , Amarnath Nayak , Alex Averbuch , Ram Marappan
Abstract: A method, apparatus and computer program product for determining a rain event warning are described herein. In the context of a method, an indication of the rain event warning for one or more locations may be received. The method may obtain, for a respective rain event warning, sensor data corresponding to a weather condition within a region that includes the location with which the respective rain event warning is associated. The method may evaluate the sensor data to determine whether the sensor data is indicative of the weather condition (e.g., rain). The method may determine a rain event warning confidence based at least in part on evaluation of the sensor data. The method may cause the rain event warning to be published in an instance in which the rain event warning confidence satisfies a confidence threshold.
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