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公开(公告)号：US11613271B2
公开(公告)日：2023-03-28
申请号：US16996484
申请日：2020-08-18
发明人： Emad Isaac
IPC分类号： G06N20/00 , B60W50/14 , B60W40/09 , G06F16/9535 , G06Q30/06 , B60W60/00 , G06N5/04 , G07C5/08 , G09B19/16 , G08G1/00 , G06Q30/0645 , G06Q50/30 , G05D1/00
摘要： Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.
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公开(公告)号：US20220055639A1
公开(公告)日：2022-02-24
申请号：US17001209
申请日：2020-08-24
发明人： Emad Isaac
摘要： Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.
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公开(公告)号：US20220027963A1
公开(公告)日：2022-01-27
申请号：US16936633
申请日：2020-07-23
发明人： Emad Isaac
摘要： Methods, computer-readable media, software, and apparatuses may assist in determining the value of a vehicle, based on vehicle usage information, sensor data, and/or fault codes generated by the vehicle. The sensor data and/or the fault codes may be compared to a pre-determined grouping, and the vehicle value may be based in part on a cost of a repair associated with the pre-determined grouping.
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公开(公告)号：US20230294730A1
公开(公告)日：2023-09-21
申请号：US18126529
申请日：2023-03-27
发明人： Emad Isaac
IPC分类号： B60W60/00 , G06N20/00 , G06N5/04 , G07C5/08 , G09B19/16 , B60W50/14 , G08G1/00 , B60W40/09 , G06F16/9535
CPC分类号： B60W60/001 , G06N20/00 , G06N5/04 , G07C5/0816 , G09B19/167 , B60W50/14 , G08G1/22 , B60W40/09 , B60W60/0059 , G06F16/9535 , B60W2540/30 , G06Q2240/00 , G06Q30/0645
摘要： Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.
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公开(公告)号：US12043274B2
公开(公告)日：2024-07-23
申请号：US17001209
申请日：2020-08-24
发明人： Emad Isaac
CPC分类号： B60W50/085 , B60W50/045 , B60W2050/0075 , B60W2050/0085 , B60W2556/10 , B60W2556/55
摘要： Methods and systems for autonomous driving algorithm evaluation are described herein. A computing device may receive, via telematics sensors associated with a vehicle, telematics data corresponding to one or more trips taken by the vehicle during a period of time. Portions of the telematics data corresponding to use of an autonomous driving algorithm may be determined. One or more performance metrics of the autonomous driving algorithm may be determined based on the portions of the telematics data corresponding to use of the autonomous driving algorithm. The one or more performance metrics may be compared to one or more other performance metrics, such as those corresponding to other autonomous driving algorithms. An autonomous vehicle score may be assigned to the autonomous driving algorithm. Based on the autonomous vehicle score, an indication of a second autonomous driving algorithm may be sent to the vehicle.
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公开(公告)号：US20220410906A1
公开(公告)日：2022-12-29
申请号：US17360550
申请日：2021-06-28
发明人： Emad Isaac
摘要： Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.
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公开(公告)号：US12071139B2
公开(公告)日：2024-08-27
申请号：US17360550
申请日：2021-06-28
发明人： Emad Isaac
CPC分类号： B60W40/08 , G06F18/217 , G06F18/24 , G06N20/20 , G06V20/59 , H04W4/40 , H04W4/70 , B60W2040/0881 , B60W2420/54 , B60W2540/043
摘要： Aspects of the disclosure relate to using ultrasonic or other types of signals to detect a driver in a vehicle. A computing platform may receive ultrasonic sensing data associated with mobile devices in the vehicle from a signal transmitter. Unique identifiers of the mobile devices may be determined. Based on the ultrasonic sensing data and the unique identifier, a relative distance from the signal transmitter to each mobile device in the vehicle may be determined. The computing platform may use a machine learning classifier to determine that a particular occupant is a driver in the vehicle based on the relative distance.
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公开(公告)号：US20220169266A1
公开(公告)日：2022-06-02
申请号：US17540848
申请日：2021-12-02
发明人： Emad Isaac
摘要： Aspects of the disclosure relate to computing platforms that utilize improved machine learning techniques to identify vehicle problems and control ancillary computing systems. A computing platform may receive vibration data corresponding to a vehicle component. Using one or more machine learning models and based on the vibration data, the computing platform may identify a vehicle problem corresponding to the vibration data. After identifying the vehicle problem, the computing platform may transmit one or more commands directing the autonomous vehicle control system to autonomously navigate a vehicle to a service facility, where transmitting the one or more commands directing the autonomous vehicle control system to autonomously navigate the vehicle to the service facility causes the autonomous vehicle control system to autonomously navigate the vehicle to the service facility.
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公开(公告)号：US20220055649A1
公开(公告)日：2022-02-24
申请号：US16996484
申请日：2020-08-18
发明人： Emad Isaac
IPC分类号： B60W60/00 , G06F16/9535 , G06N20/00 , G06N5/04 , G07C5/08 , G09B19/16 , B60W50/14 , G08G1/00 , B60W40/09
摘要： Methods and systems for tracking driver behavior across a variety of vehicles are described herein. One or more first performance metrics which indicate performance of a first vehicle when driven by a user may be determined. One or more second performance metrics indicating performance of a second vehicle when driven by the user may be determined. The first vehicle and the second vehicle may be compared to determine a vehicle difference. The performance metrics may be compared. One or more third performance metrics that predict performance of a third vehicle, different from the first vehicle and the second vehicle, when driven by the user may be determined based on the vehicle difference and the comparison. Whether to provide the user access to the third vehicle may be determined based on the one or more third performance metrics.
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