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公开(公告)号：US11713979B2
公开(公告)日：2023-08-01
申请号：US17122497
申请日：2020-12-15
申请人： HERE GLOBAL B.V.
CPC分类号： G01C21/3841 , G05D1/0088 , G01C21/3667
摘要： A method, apparatus and computer program product are provided for generating a transition variability index related to autonomous driving. In this regard, a first transition variability index is calculated. The first transition variability index is indicative of a first degree of variability in relation to transition of vehicles from respective autonomous levels while traveling proximate a first spatial reference point. Furthermore, a second transition variability index is generated. The second transition variability index is indicative of a second degree of variability in relation to transition of vehicles from respective autonomous levels while traveling along proximate a second spatial reference point. Updating of transition data associated with one of the first and second spatial reference points relative to another one of the first and second spatial reference points is then prioritized based on a comparison between the first transition variability index and the second transition variability index.
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公开(公告)号：US11681294B2
公开(公告)日：2023-06-20
申请号：US16217938
申请日：2018-12-12
申请人： HERE GLOBAL B.V.
发明人： Leon Stenneth
CPC分类号： G05D1/0214 , G01C21/3691 , G01C21/3697 , G05D1/0088 , G05D2201/0213
摘要： A computer-implemented method for prediction of a roadwork zone on at least a second road segment is provided. The method comprises retrieving at least one of map data or first sensor data for at least a first road segment. The method also comprises retrieving ground truth data for at least the first road segment, the ground truth data indicating a true presence or a true absence of a roadwork zone on the at least first road segment. The method further comprises receiving second sensor data associated with the at least second road segment. The method further comprises generating roadwork zone data of the roadwork zone on the at least second road segment, based on the at least one of map data or the first sensor data, the ground truth data, and the second sensor data.
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公开(公告)号：US20230158842A1
公开(公告)日：2023-05-25
申请号：US17534895
申请日：2021-11-24
申请人： HERE GLOBAL B.V.
CPC分类号： B60C23/0474 , B60C23/0491 , G01C21/3461 , G01C21/3476
摘要： An apparatus, method and computer program product are provided for predicting road locations that are likely to induce tire pressure changes. In one example, the apparatus receives historical data of an event in which a first vehicle is impacted by a first tire pressure change at a first road segment. The historical data indicates point-of-interest (POI) information associated with the first road segment. The apparatus trains a prediction model using the historical data. The prediction model is configured to determine a likelihood in which a second road segment induces a second tire pressure change for a second vehicle based on POI information associated with the second road segment.
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公开(公告)号：US20230125433A1
公开(公告)日：2023-04-27
申请号：US17512141
申请日：2021-10-27
申请人： HERE Global B.V.
发明人： Leon Stenneth , Hitesh Baid
摘要： Processors determine one or more aggregate confidence scores for a road segment; and based at least in part on the confidence score, determine a map-enabled driving scenario for a road segment. Determining the confidence score for the road segment comprises obtaining feature weights corresponding to road segment characteristics associated with the road segment; obtaining feature data associated with features along the road segment; based on the feature weights, and the feature data, defining continuous parameter range intervals along the road segment; assigning a respective interval confidence score to each continuous parameter range interval along the road segment based on a respective most relevant feature present in that interval; and determining the one or more aggregate confidence scores for the road segment based at least in part on each of the respective interval confidence scores.
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公开(公告)号：US11557132B2
公开(公告)日：2023-01-17
申请号：US17074458
申请日：2020-10-19
申请人： HERE Global B.V.
摘要： Systems and methods for the detection and analysis of road markings and other road objects are described. A method for detection of road markings comprises identifying image data including lane markings associated with a road segment, defining a plurality of subsections for the road segment, identifying boundary recognition observations for the lane markings from the image data corresponding to the at least one of the plurality of subsections for the road segments, calculating one or more clusters for the boundary recognition observations according to color or intensity, and outputting a lane marking indicator indicating the color or the intensity, for the at least one of the plurality of subsections for the road segments, in response to the one or more clusters.
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公开(公告)号：US11428535B2
公开(公告)日：2022-08-30
申请号：US16706263
申请日：2019-12-06
申请人： HERE Global B.V.
摘要： A system, a method, and a computer program product for determining a sign type of a road sign are disclosed herein. The system comprises a memory configured to store computer-executable instructions and one or more processors configured to execute the instructions to obtain sensor data associated with the road sign, wherein the sensor data comprises data associated with counts of road sign observations, determine one or more features associated with the road sign, based on the obtained sensor data, and determine the sign type of the road sign, based on the one or more features.
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公开(公告)号：US11423925B2
公开(公告)日：2022-08-23
申请号：US17129477
申请日：2020-12-21
申请人： HERE Global B.V.
摘要： A method, apparatus and computer program product are provided to identify the class of vehicle driving over a road surface based upon audio data collected as the vehicle drives thereover. With respect to predicting a class of a vehicle, audio data is obtained that is created by the vehicle while driving over the road surface. The audio data includes one or more audio frequency features and/or one or more audio amplitude features. The audio data including the one or more audio frequency features and/or the one or more audio amplitude features is provided to a machine learning model and the class of the vehicle that created the audio data is predicted utilizing the machine learning model. A method, apparatus and computer program product are also provided for training the machine learning model to predict the class of the vehicle driving over the road surface.
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公开(公告)号：US20220205807A1
公开(公告)日：2022-06-30
申请号：US17135708
申请日：2020-12-28
申请人： HERE Global B.V.
发明人： Advait Raut , Leon Stenneth
摘要： Systems and methods for a model for determining reliability of hazard sensors associated with vehicles are described. An example method includes receiving hazard observations collected from at least one hazard sensor, wherein the hazard observations is associated with hazard locations, receiving weather data associated with the hazard locations, performing a comparison of the hazard observations to the weather data, identifying a quantity of ground truth matches in which the hazard observations match the weather data based on the comparison, identifying a quantity of false negatives in which the weather data are mismatched with the hazard observations based on the comparison, and calculating a recall value from the quantity of false negatives and the quantity of ground truth matches.
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公开(公告)号：US11341845B2
公开(公告)日：2022-05-24
申请号：US16217922
申请日：2018-12-12
申请人： HERE GLOBAL B.V.
发明人： Zhenhua Zhang , Leon Stenneth
IPC分类号： G08G1/01 , G08G1/0967 , G08G1/0962 , G06V20/58
摘要： A method, a system, and a computer program product may be provided for generating at least one route speed funnel for roadwork zone identification. The method may include generating a plurality of learned speed signs from a first plurality of road sign observations captured by a first plurality of vehicles, determining a plurality of candidate speed funnels from the plurality of learned speed signs, based on corresponding locations, corresponding headings, and corresponding sign values and generating at least one route speed funnel from the plurality of candidate speed funnels based on session identifiers associated with a second plurality of vehicles of the first plurality of vehicles and corresponding time stamps of the plurality of learned speed signs. Each of the plurality of candidate speed funnels comprises a different pair of learned speed signs selected from the plurality of learned speed signs.
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公开(公告)号：US11340077B2
公开(公告)日：2022-05-24
申请号：US16367746
申请日：2019-03-28
申请人： HERE Global B.V.
发明人： Jeremy M. Young , Leon Stenneth
摘要： A vehicle apparatus, for example, receives map data comprising a sensor quality index table; accesses the sensor quality index table to determine an expected sensor effectiveness of a sensor onboard a vehicle along at least a portion of a planned route based on current and/or expected driving conditions; and responsive to determining that the expected sensor effectiveness for the at least one sensor satisfies a threshold requirement, perform a low sensor quality mitigation function. The vehicle apparatus is onboard the vehicle and is in communication with the sensor onboard the vehicle. The sensor quality index table may be generated by a network apparatus based on a plurality of sensor quality communications, generated by probe apparatuses, that are partitioned based on location and timestamp. Sensor quality index tables may be aggregated to generate driving condition tables.
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