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公开(公告)号:US11440555B2
公开(公告)日:2022-09-13
申请号:US16947918
申请日:2020-08-24
Applicant: Verizon Connect Development Limited
Inventor: Matteo Simoncini , Douglas Coimbra De Andrade , Samuele Salti , Leonardo Taccari , Fabio Schoen , Francesco Sambo , Leonardo Sarti
Abstract: A maneuver classification platform may obtain video data and telematic data that are associated with a driving event involving a vehicle. The maneuver classification platform may analyze the video data to identify a path of the vehicle along a roadway during the driving event, and based on markings of a plurality of roadways. The maneuver classification platform may analyze the video data to determine a type of a vehicle maneuver performed by the vehicle during the driving event. The maneuver classification platform may determine a maneuver score of the driving event based on the type of the vehicle maneuver, the path of the vehicle, and the telematic data. The maneuver classification platform may send a message associated with the maneuver score and a vehicle identifier of the vehicle to a client device to permit the client device to use the maneuver score.
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公开(公告)号:US20220215693A1
公开(公告)日:2022-07-07
申请号:US17248021
申请日:2021-01-05
Applicant: VERIZON CONNECT DEVELOPMENT LIMITED
Inventor: Louis BURGER , Sean McGINN
Abstract: In some implementations, a vehicle device may receive, from a controller area network (CAN) bus of a vehicle and for a time period, messages received by the CAN bus after an engine of the vehicle is turned on. The vehicle device may combine identifiers provided in unique addresses, of the messages received by the CAN bus, to generate a unique identifier, and may utilize the unique identifier to determine data identifying a year, a make, and a model of the vehicle. The vehicle device may utilize the data identifying the year, the make, and the model of the vehicle to determine non-standard parameter identifiers associated with an engine control module of the vehicle.
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公开(公告)号:US11328505B2
公开(公告)日:2022-05-10
申请号:US16793829
申请日:2020-02-18
Applicant: Verizon Connect Development Limited
Inventor: Leonardo Taccari , Luca Kubin , Tommaso Bianconcini , Andrea Benericetti , Leonardo Sarti , Tommaso Innocenti
Abstract: A device may receive sensor data and video data associated with a vehicle, and may process the sensor data, with a rule-based detector model, to determine whether a probability of a vehicle accident satisfies a first threshold. The device may preprocess acceleration data of the sensor data to generate calibrated acceleration data, and may process the calibrated acceleration data, with an anomaly detector model, to determine whether the calibrated acceleration data includes anomalies. The device may filter the sensor data to generate filtered sensor data, and may process the filtered sensor data and anomaly data, with a decision model, to determine whether the probability of the vehicle accident satisfies a second threshold. The device may process the filtered sensor data, the anomaly data, and the video data, with a machine learning model, to determine whether the vehicle accident has occurred, and may perform one or more actions.
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公开(公告)号:US20220058400A1
公开(公告)日:2022-02-24
申请号:US17001139
申请日:2020-08-24
Applicant: VERIZON CONNECT DEVELOPMENT LIMITED
Inventor: Tommaso BIANCONCINI , Stefano CAPRASECCA , Tommaso MUGNAI , Luca BRAVI , Francesco SAMBO , Leonardo TACCARI
Abstract: A device may obtain video data associated with a driving event involving a first vehicle. The device may determine a vanishing point associated with the video data and may construct a cone of impact of the first vehicle based on the vanishing point. The device may detect a second vehicle within the cone of impact and may analyze the subset of video frames to determine a distance between the first vehicle and the second vehicle. The device may determine a speed of the first vehicle during a time period associated with a subset of video frames. The device may determine a headway score, representative of a severity associated with the first vehicle being within a proximity threshold of the second vehicle during the time period, based on the distance and the speed. The device may determine an occurrence of a tailgating event based on the headway score.
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公开(公告)号:US11210939B2
公开(公告)日:2021-12-28
申请号:US15518694
申请日:2016-12-02
Applicant: Verizon Connect Development Limited
Inventor: Samuele Salti , Francesco Sambo , Leonardo Taccari , Luca Bravi , Matteo Simoncini , Alessandro Lori
Abstract: A method and system for classifying a vehicle based on low frequency GPS tracks. The method and system comprise retrieving a low frequency GPS track having a sampling interval of at least 20 seconds; deriving additional data from the low frequency GPS track, the additional data including interval speed and instantaneous acceleration of the vehicle; extracting a plurality of data sets from the low frequency GPS track and the additional data; generating a plurality of features from the extracted data sets; and providing the plurality of generated features to a classifier that classifies the vehicle into a predetermined class.
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公开(公告)号:US11120687B2
公开(公告)日:2021-09-14
申请号:US16673306
申请日:2019-11-04
Applicant: Verizon Connect Development Limited
Inventor: Luca Bravi , Tommaso Mugnai , Alessandro Giannini
IPC: G08G1/14 , G05D1/02 , G06N20/00 , G06F16/9537
Abstract: A device may receive geographical data identifying a geographical area, and may receive, from vehicle devices of vehicles, first vehicle data identifying engine off conditions, locations during engine off conditions, and durations of the engine off conditions. The device may divide, based on the geographical data, the geographical area into clusters with particular dimensions, and may process data identifying the clusters and the first vehicle data, with a machine learning model, to determine parking data identifying public parking spaces in the geographical area. The device may receive, from a set of the vehicle devices associated with vehicles parked in the public parking spaces, vehicle data identifying engine on conditions and locations during the engine on conditions, and may identify available public parking spaces based on the second vehicle data and the parking data. The device may perform one or more actions based on data identifying the available public parking spaces.
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公开(公告)号:US11954949B2
公开(公告)日:2024-04-09
申请号:US17248021
申请日:2021-01-05
Applicant: Verizon Connect Development Limited
Inventor: Louis Burger , Sean McGinn
CPC classification number: G07C5/008 , B60W40/08 , G07C5/0841 , H04L12/40 , H04L2012/40215
Abstract: In some implementations, a vehicle device may receive, from a controller area network (CAN) bus of a vehicle and for a time period, messages received by the CAN bus after an engine of the vehicle is turned on. The vehicle device may combine identifiers provided in unique addresses, of the messages received by the CAN bus, to generate a unique identifier, and may utilize the unique identifier to determine data identifying a year, a make, and a model of the vehicle. The vehicle device may utilize the data identifying the year, the make, and the model of the vehicle to determine non-standard parameter identifiers associated with an engine control module of the vehicle.
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公开(公告)号:US11900657B2
公开(公告)日:2024-02-13
申请号:US17001161
申请日:2020-08-24
Applicant: Verizon Connect Development Limited
Inventor: Luca Bravi , Luca Kubin , Leonardo Taccari , Francesco Sambo , Matteo Simoncini , Douglas Coimbra De Andrade , Stefano Caprasecca
IPC: G06V20/58 , G06V10/764 , G06T7/70 , G06N20/00 , B60Q9/00 , G08G1/052 , G06F18/21 , G06F18/24 , G06N7/01 , B60R11/04 , G05D1/00
CPC classification number: G06V10/764 , B60Q9/00 , G06F18/21 , G06F18/24 , G06N7/01 , G06N20/00 , G06T7/70 , G06V20/582 , G08G1/052 , B60R11/04 , G05D1/0061 , G06T2207/20084 , G06T2207/30252
Abstract: A violation detection platform may obtain image data, location data, and sensor data associated with a vehicle. The violation detection platform may determine a probability that a frame of the image data includes an image of a stop sign. The violation detection platform may determine that the probability satisfies a probability threshold. The violation detection platform may identify location data and sensor data associated with the frame of the image data based on the probability satisfying the probability threshold. The violation detection platform may determine an occurrence of a type of a stop sign violation based on the probability, the location data, and the sensor data. The violation detection platform may perform one or more actions based on determining the occurrence of the type of the stop sign violation.
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公开(公告)号:US11827247B2
公开(公告)日:2023-11-28
申请号:US16794825
申请日:2020-02-19
Applicant: Verizon Connect Development Limited
Inventor: Douglas Coimbra De Andrade
CPC classification number: B60W60/0051 , B60W60/0059 , G05D1/0214 , G05D1/0278 , G05D1/0289
Abstract: A device may include one or more processors configured to receive sensor data from an external sensor associated with an autonomous driving zone; generate a map of the autonomous driving zone based on the sensor data; determine that a vehicle is entering the autonomous driving zone; and transmit a signal to the vehicle based on the vehicle entering the autonomous driving zone. The signal may cause the vehicle to begin operating in a full autonomous mode. The one or more processors may be configured further to determine an objective associated with the vehicle; receive first data obtained by one or more first sensors associated with the vehicle and second data obtained by the external sensor; determine a route based on the objective, the first data, and the second data; and transmit information identifying the route to the vehicle. The route may allow the vehicle to satisfy the objective.
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公开(公告)号:US11820611B2
公开(公告)日:2023-11-21
申请号:US17446208
申请日:2021-08-27
Applicant: Verizon Connect Development Limited
Inventor: Marco Gualtieri , Leonardo Taccari , Andrea Benericetti , Tommaso Bianconcini , Alessio Frusciante , David Di Lorenzo
CPC classification number: B65G15/30 , G06T19/006 , G09B9/00 , B65G2814/0304
Abstract: A load planning platform may generate, according to one or more loading rules, a preliminary packing solution that simulates placing unpacked items, in a set of items, into a container. The load planning platform may generate a set of packing solutions by applying one or more available moves to the preliminary packing solution. The load planning platform may select a final packing solution from the set of packing solutions based on one or more optimization criteria associated with the container and the set of items. The load planning platform may provide access to a three-dimensional rendering of the final packing solution that differentiates each item in the set of items based on a sequence in which the set of items are to be unloaded from the container.
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