Application specific connected service provision system

    公开(公告)号:US10797981B2

    公开(公告)日:2020-10-06

    申请号:US16255507

    申请日:2019-01-23

    Abstract: A vehicle application enabling system is provided and includes a memory and initialization, latency evaluation, and application enable modules. The initialization module: receives a maximum network latency; sets a percentage of occurrences that the maximum network latency is not satisfied, a maximum false positive rate, and a maximum deviation value; and calculates a weighting factor based on the percentage of occurrences, maximum false positive rate and maximum deviation value. The latency evaluation module implements a latency evaluation algorithm, which includes: comparing one or more latency estimates to the maximum network latency to provide one or more samples; updating confusion matrix statistics based on the one or more samples; updating a probability threshold based on the maximum false positive rate; updating weighted observations based on the weighting factor; and determining a predicted decision based on the probability threshold. The application enable module executes the vehicle application based on the probability threshold.

    Driving context generation system for generating driving behavior description information
    2.
    发明授权
    Driving context generation system for generating driving behavior description information 有权
    用于产生驾驶行为描述信息的驾驶上下文生成系统

    公开(公告)号:US09527384B2

    公开(公告)日:2016-12-27

    申请号:US14731766

    申请日:2015-06-05

    CPC classification number: B60K28/066 B60W40/09 G08G1/0104

    Abstract: In a system, a behavior description generator extracts a feature portion from at least one of segmented behavior-data sequences corresponding to at least one target driving situation included in sequential driving situations, and generates behavior-description information indicative of a description of a driver's behavior associated with the at least one target driving situation. An event description generator sequentially detects traffic events in at least one environmental data sequence indicative of time-series driving environments of a vehicle. The event description generator generates event-description information including a description indicative of each of the detected traffic events. A context description generator extracts, from the sequentially detected traffic events, one target traffic event that is detected immediately adjacent to the feature portion. The context description generator generates context information indicative of a context between behavior-description information and the event-description information about the target traffic event.

    Abstract translation: 在系统中,行为描述生成器从对应于包括在顺序驾驶状况中的至少一个目标驾驶状况的分段行为数据序列中的至少一个提取特征部分,并且生成表示驾驶员行为描述的行为描述信息 与至少一个目标驾驶状况相关联。 事件描述生成器顺序地检测指示车辆的时间序列驾驶环境的至少一个环境数据序列中的交通事件。 事件描述生成器生成包括指示每个检测到的交通事件的描述的事件描述信息。 上下文描述生成器从顺序检测到的交通事件中提取与特征部分紧邻地检测到的一个目标交通事件。 上下文描述生成器生成指示行为描述信息与关于目标交通事件的事件描述信息之间的上下文的上下文信息。

    System for detecting abnormal driving behavior
    3.
    发明授权
    System for detecting abnormal driving behavior 有权
    检测异常驾驶行为的系统

    公开(公告)号:US09111400B2

    公开(公告)日:2015-08-18

    申请号:US14210669

    申请日:2014-03-14

    CPC classification number: G07C5/00 G07C5/08

    Abstract: In an abnormal driving behavior detection system for a vehicle, an obtainer repeatedly obtains an observed value indicative of at least one of a running condition of the vehicle and a driver's driving operation of the vehicle. A mode-probability calculator calculates, each time an observed value is obtained at a given obtaining timing as a target obtained value, a mode probability for each of driving modes as a function of one or more previous observed values. A deviation calculator obtains a predicted observed value for each driving mode using a driver's normal behavior model defined therefor, and calculates a deviation of the target observed value from the predicted observed value for each driving mode. An abnormality determiner determines whether there is at least one driver's abnormal behavior based on the mode probability for each driving mode and the deviation calculated for each driving mode.

    Abstract translation: 在用于车辆的异常驾驶行为检测系统中,获得者重复地获得指示车辆的行驶状态和驾驶员的驾驶操作中的至少一个的观察值。 模式概率计算器每当在作为目标获得值的给定获取定时获得观测值时,计算作为一个或多个先前观测值的函数的每个驱动模式的模式概率。 偏差计算器使用为其定义的驾驶员的正常行为模型获得每个驾驶模式的预测观测值,并且计算目标观测值与每个驾驶模式的预测观测值的偏差。 异常判定部基于各驾驶模式的模式概率和针对各驾驶模式计算出的偏差来判定是否存在至少一个驾驶员的异常行为。

    Drive assist apparatus
    4.
    发明授权

    公开(公告)号:US10152061B2

    公开(公告)日:2018-12-11

    申请号:US15284986

    申请日:2016-10-04

    Abstract: A drive assist apparatus includes a data collection part that collects driving behavior data representing driving maneuvers and vehicle behaviors caused by the driving maneuvers for each drivers, a classification part that classifies the driving behavior data into a plurality of clusters each showing a tendency of driving behavior of the drivers by clustering the driving behavior data, a storage part that stores cluster information representing a driving behavior characteristic of each of the clusters, a subject data acquisition part that acquires, as subject data, the driving behavior data for a subject driver to be assisted, an estimation part that estimates, as a corresponding cluster, one of the clusters to which the subject driver is assumed to belong by comparing the subject data with the cluster information stored in the storage part, and an assist providing part that provides a drive assist depending on the estimated corresponding cluster.

    Drive data collection system
    5.
    发明授权

    公开(公告)号:US09940759B2

    公开(公告)日:2018-04-10

    申请号:US14940190

    申请日:2015-11-13

    CPC classification number: G07C5/008 G07C5/0816

    Abstract: A drive data collection system includes an in-vehicle system and an information center. The in-vehicle system includes a data collector that repeatedly collects measurement values indicative of various indexes regarding a state of a subject vehicle, a model memory that memorizes model information regarding discretization rules that are shared by each of participating vehicles in the system, and a data discretizer that discretizes drive data, which includes time-series measurement values collected by the data collector, into multiple data parts according to the model information. The information center includes a data accumulator that accumulates the discretized drive data in a server. The in-vehicle system sends the discretized drive data to the information center through a communicator. Therefore, the drive data collection system efficiently collects the drive data in a versatilely-utilizable manner for the analysis of general driving practices/behaviors.

    SYSTEM FOR DETECTING ABNORMAL DRIVING BEHAVIOR
    8.
    发明申请
    SYSTEM FOR DETECTING ABNORMAL DRIVING BEHAVIOR 有权
    检测异常驾驶行为的系统

    公开(公告)号:US20140277832A1

    公开(公告)日:2014-09-18

    申请号:US14210669

    申请日:2014-03-14

    CPC classification number: G07C5/00 G07C5/08

    Abstract: In an abnormal driving behavior detection system for a vehicle, an obtainer repeatedly obtains an observed value indicative of at least one of a running condition of the vehicle and a driver's driving operation of the vehicle. A mode-probability calculator calculates, each time an observed value is obtained at a given obtaining timing as a target obtained value, a mode probability for each of driving modes as a function of one or more previous observed values. A deviation calculator obtains a predicted observed value for each driving mode using a driver's normal behavior model defined therefor, and calculates a deviation of the target observed value from the predicted observed value for each driving mode. An abnormality determiner determines whether there is at least one driver's abnormal behavior based on the mode probability for each driving mode and the deviation calculated for each driving mode.

    Abstract translation: 在用于车辆的异常驾驶行为检测系统中,获得者重复地获得指示车辆的行驶状态和驾驶员的驾驶操作中的至少一个的观察值。 模式概率计算器每当在作为目标获得值的给定获取定时获得观测值时,计算作为一个或多个先前观测值的函数的每个驱动模式的模式概率。 偏差计算器使用为其定义的驾驶员的正常行为模型获得每个驾驶模式的预测观测值,并且计算目标观测值与每个驾驶模式的预测观测值的偏差。 异常判定部基于各驾驶模式的模式概率和针对各驾驶模式计算出的偏差来判定是否存在至少一个驾驶员的异常行为。

    Vehicle recommendation and translation system for setting personalized parameters within vehicles of mobility sharing environments

    公开(公告)号:US11267415B2

    公开(公告)日:2022-03-08

    申请号:US16001439

    申请日:2018-06-06

    Abstract: A system for setting parameters within a first vehicle for a first user of the first vehicle is provided and includes a memory, transceiver, and a processing module. The memory stores normalized parameters, which are specific to the first user. Each of the normalized parameters is a parameter of the vehicle. The transceiver receives the normalized parameters from a mobile device of the first user, a server in a cloud-based network, or a portable memory device. The processing module: determines whether the first user is authorized for parameter translation services; if the first user is authorized for parameter translation services, translates the normalized parameters to resultant parameters; generates parameter recommendations based on the resultant parameters; presents the parameter recommendations to the first user; and adjusts current parameters of the first vehicle based on the resultant parameters and a received response from the first user with regards to the parameter recommendations.

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