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公开(公告)号:US10417909B1
公开(公告)日:2019-09-17
申请号:US15905506
申请日:2018-02-26
发明人: Francesco Sambo , Luca Bravi , Samuele Salti , Leonardo Taccari , Matteo Simoncini , Alessandro Lori , Leonardo Sarti , Jason M. Koch
IPC分类号: G08G1/0967 , G08G1/056 , G08G1/00 , G01C21/36 , G08G1/015
摘要: A device can obtain acceleration data and GPS location data. The GPS location data can include a plurality of GPS location data samples relating to vehicles. The acceleration data can include a plurality of acceleration data samples relating to one or more of the vehicles. The device can determine, using the plurality of acceleration data samples or the plurality of GPS location data samples, a potential wrong-way travel event associated with a vehicle, determine whether the vehicle is associated with an industry in which vehicles legitimately engage in wrong-way travel after determining the potential wrong-way travel event, and perform one or more actions to cause information regarding the potential wrong-way travel event to be provided to a user device based on determining the potential wrong-way travel event and determining whether the vehicle is associated with an industry in which vehicles legitimately engage in wrong-way travel.
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公开(公告)号:US20190156680A1
公开(公告)日:2019-05-23
申请号:US15958914
申请日:2018-04-20
发明人: Leonardo Sarti , Luca Bravi , Francesco Sambo , Leonardo Taccari , Matteo Simoncini , Samuele Salti , Alessandro Lori
摘要: A device receives location information and work order information associated with multiple vehicles, and groups the location information into engine off information, idling information, and journey information. The device combines, based on the journey information, the engine off information and the idling information to generate vehicle stop information associated with the plurality of vehicles, and matches corresponding work order information with the vehicle stop information to generate matched information. The device extracts stop-wise features, points of interest features, stop cluster features, and sequential features from the vehicle stop information, and utilizes the stop-wise features, the points of interest features, the stop cluster features, and the sequential features with a model to determine work order stops and non-work order stops for the multiple vehicles. The device provides information associated with the work order stops and the non-work order stops for the multiple vehicles.
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公开(公告)号:US10345449B2
公开(公告)日:2019-07-09
申请号:US15601814
申请日:2017-05-22
发明人: Samuele Salti , Francesco Sambo , Leonardo Taccari , Luca Bravi , Matteo Simoncini , Alessandro Lori
摘要: A device can receive GPS data or values for a set of metrics at a set of GPS points that form a GPS track of a vehicle. The device can determine additional values for additional metrics using the GPS data or the values for the set of metrics. The device can determine a set of vectors for the set of GPS points using the GPS data, the values, or the additional values. The set of vectors can be used in a recurrent neural network (RNN) to classify the vehicle. The device can process the set of vectors via one or more sets of RNN layers of the RNN. The device can determine a classification of the vehicle using a result of processing the set of vectors. The result can be output by the output layer. The device can perform an action based on the classification of the vehicle.
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公开(公告)号:US20190266893A1
公开(公告)日:2019-08-29
申请号:US15905506
申请日:2018-02-26
发明人: Francesco Sambo , Luca Bravi , Samuele Salti , Leonardo Taccari , Matteo Simoncini , Alessandro Lori , Leonardo Sarti , Jason M. Koch
IPC分类号: G08G1/0967 , G08G1/056 , G08G1/015 , G01C21/36 , G08G1/00
摘要: A device can obtain acceleration data and GPS location data. The GPS location data can include a plurality of GPS location data samples relating to vehicles. The acceleration data can include a plurality of acceleration data samples relating to one or more of the vehicles. The device can determine, using the plurality of acceleration data samples or the plurality of GPS location data samples, a potential wrong-way travel event associated with a vehicle, determine whether the vehicle is associated with an industry in which vehicles legitimately engage in wrong-way travel after determining the potential wrong-way travel event, and perform one or more actions to cause information regarding the potential wrong-way travel event to be provided to a user device based on determining the potential wrong-way travel event and determining whether the vehicle is associated with an industry in which vehicles legitimately engage in wrong-way travel.
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公开(公告)号:US10699137B2
公开(公告)日:2020-06-30
申请号:US16103707
申请日:2018-08-14
发明人: Francesco Sambo , Luca Bravi , Samuele Salti , Leonardo Taccari , Matteo Simoncini , Alessandro Lori , Leonardo Sarti , Wan Luo , Yaoyang Qian , Peter Mitchell , John Molamphy
摘要: A video classification platform receives a first message that includes a link to video data including video frames captured by one or more cameras associated with the vehicle, and including information concerning a vehicle and a driving event. The platform obtains the video data using the link, identifies the vehicle and the driving event based on the information, and determines objects in a video frame. The platform constructs a collision cone of the vehicle for the video frame and determines, based on the collision cone, a set of objects that have a potential to collide with the vehicle. The platform assigns a category to the driving event based on the set of objects, the collision cone of the vehicle, and the information, generates a second message that includes the category and the information, and sends the second message to a client device to display the second message.
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公开(公告)号:US20200057894A1
公开(公告)日:2020-02-20
申请号:US16103707
申请日:2018-08-14
发明人: Francesco Sambo , Luca Bravi , Samuele Salti , Leonardo Taccari , Matteo Simoncini , Alessandro Lori , Leonardo Sarti , Wan Luo , Yaoyang Qian , Peter Mitchell , John Molamphy
摘要: A video classification platform receives a first message that includes a link to video data including video frames captured by one or more cameras associated with the vehicle, and including information concerning a vehicle and a driving event. The platform obtains the video data using the link, identifies the vehicle and the driving event based on the information, and determines objects in a video frame. The platform constructs a collision cone of the vehicle for the video frame and determines, based on the collision cone, a set of objects that have a potential to collide with the vehicle. The platform assigns a category to the driving event based on the set of objects, the collision cone of the vehicle, and the information, generates a second message that includes the category and the information, and sends the second message to a client device to display the second message.
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