JPWO2020018435A5 - - Google Patents

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JPWO2020018435A5
JPWO2020018435A5 JP2021502572A JP2021502572A JPWO2020018435A5 JP WO2020018435 A5 JPWO2020018435 A5 JP WO2020018435A5 JP 2021502572 A JP2021502572 A JP 2021502572A JP 2021502572 A JP2021502572 A JP 2021502572A JP WO2020018435 A5 JPWO2020018435 A5 JP WO2020018435A5
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vehicle collision
document
start time
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Priority claimed from US16/035,861 external-priority patent/US10246037B1/en
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様々な他のデータ要素が、記述の要素の基礎を構成することができる。記述は、データ要素の所与のセットに対して幅広い方法で表現され得る。
他の実装もまた以下の請求項の範囲内である。
[付記1]
車両に関連する衝突の文書を自動的に生成する方法であって、前記方法は、
前記車両のテレマティクス装置に関連付けられた1つまたは複数のセンサによって生成されたテレマティクスデータを受信する工程と、
前記テレマティクスデータに基づき、車両衝突の開始時刻に開始し終了時刻に終了する車両衝突期間を決定する工程と、
前記テレマティクスデータに基づき、前記車両衝突期間中の前記車両に関連付けられた1つまたは複数のメトリックスを決定する工程と、
前記1つまたは複数のメトリックスに基づき、前記車両衝突に関して人間が読める文書を自動的に生成する、文書自動生成工程と、を備える方法。
[付記2]
衝突検出構成要素が、衝突検出モデルに基づき、前記テレマティクスデータが車両衝突に関連付けられている確率を計算する工程、を備える付記1に記載の方法。
[付記3]
前記人間が読める文書は、前記1つまたは複数のメトリックスの記述を含む前記車両衝突の記載を備える、付記1に記載の方法。
[付記4]
前記車両衝突に関して前記人間が読める文書を表示する工程、を備える付記3に記載の方法。
[付記5]
衝突メトリックス構成要素が、前記テレマティクスデータに基づき、第1高度変化率および第2高度変化率を計算する工程と、
前記衝突メトリックス構成要素が、前記第1高度変化率と前記第2高度変化率との差を計算する工程と、
前記衝突メトリックス構成要素が、所定の閾値を満足する前記差に基づき、前記車両に関連付けられたエアバッグが展開されたと判定する工程と、を備える付記1に記載の方法。
[付記6]
衝突メトリックス構成要素が、前記テレマティクスデータに基づき、前記テレマティクス装置に関連付けられた1つ以上の軸の1つまたは複数のピーク加速度値を計算する工程と、
前記衝突メトリックス構成要素が、前記1つまたは複数のピーク加速度値に基づき、加速イベントを計算する工程であって、前記加速イベントは、前記テレマティクス装置に関連付けられた1つ以上の軸の各々の1つのピーク加速値のみを含む工程と、
前記衝突メトリックス構成要素が、前記加速イベントに基づき、前記テレマティクス装置に関連付けられた前記1つ以上の軸の各々の加速度の定性的測定を決定する工程と、を備える付記1に記載の方法。
[付記7]
前記加速イベントに基づき、前記車両の車両衝撃の方向を計算する工程、を備える付記6に記載の方法。
[付記8]
前記加速イベントに基づき、車両衝撃前の前記車両の操作を計算する工程、を備える付記6に記載の方法。
[付記9]
前記1つまたは複数のメトリックスに基づき、前記車両衝突の深刻度スコアを計算する工程、を備える付記1に記載の方法。
[付記10]
前記テレマティクスデータに基づき、前記車両衝突期間の前記開始時刻後に発生する人間の歩行を識別する工程、を備える付記1に記載の方法。
[付記11]
車両衝突の文書を自動的に生成する車両テレマティクスシステムであって、前記システムは、
プロセッサと、
前記プロセッサによって実行可能な命令の記憶部と、を備え、前記プロセッサは、
テレマティクス装置に関連付けられた1つまたは複数のセンサからテレマティクスデータを取得する工程と、
前記テレマティクスデータに基づき、前記車両衝突の開始時刻に開始し終了時刻に終了する車両衝突期間を計算する工程と、
前記テレマティクスデータに基づき、前記車両衝突期間中の車両に関連付けられた1つまたは複数のメトリックスを決定する工程と、
前記1つまたは複数のメトリックスに基づき、前記車両衝突に関して人間が読める文書を自動的に提供する工程と、を行うシステム。
[付記12]
前記1つまたは複数のセンサは、加速度計、速度計、気圧計、ジャイロスコープ、コンパス、および位置センサのうちの少なくとも1つを含む、付記11に記載のシステム。
[付記13]
前記車両衝突に関して前記人間が読める文書を表示するユーザインタフェース、を備える付記11に記載のシステム。
[付記14]
前記車両衝突に関して前記人間が読める文書は、前記1つまたは複数のメトリックスの記述を含む前記車両衝突の記載を備える、付記11に記載のシステム。
[付記15]
前記1つまたは複数のメトリックスは、衝突継続時間、衝撃の数、平均加速度、前記車両衝突中のヨーイング、車両衝撃の方向、エアバッグ展開の表示、車両横転の表示、車両操作の表示、前記車両が衝突後に運転されたかどうかの表示、および前記車両衝突中の環境条件の表示のうちの少なくとも1つを含む、付記11に記載のシステム。
[付記16]
前記テレマティクスデータ、前記車両衝突期間、前記1つまたは複数のメトリックス、および前記車両衝突に関して前記人間が読める文書のうちの1つまたは複数を遠隔サーバに通信する通信回路を備える、付記11に記載のシステム。
[付記17]
前記遠隔サーバは、自動車安全機関、保険会社、緊急サービス、前記テレマティクス装置のユーザ、および前記車両のユーザのうちの少なくとも1つに関連付けられる、付記16に記載のシステム。
[付記18]
前記テレマティクス装置はモバイル装置を含む、付記11に記載のシステム。
[付記19]
前記プロセッサによって実行可能な追加的命令を備え、
衝突検出構成要素が、衝突検出モデルに基づき、前記テレマティクスデータが車両衝突に関連付けられている確率を計算する工程を行う、付記11に記載のシステム。
[付記20]
前記プロセッサによって実行可能な追加的命令を備え、
前記テレマティクスデータに基づき、前記車両衝突期間の前記開始時刻後に発生する人間の歩行を識別する工程を行う、付記11に記載のシステム。
[付記21]
前記文書自動生成工程は、前記衝突の特徴を前記テレマティクスデータから導出する工程を備える、付記1に記載の方法。
[付記22]
前記衝突の前記特徴は、前記衝突の第1衝撃前のイベントを含む、付記21に記載の方法。
[付記23]
前記衝突の前記特徴は、前記衝突の最終衝撃後のイベントを含む、付記21に記載の方法。
[付記24]
前記衝突の前記特徴は、車速を含む、付記21に記載の方法。
[付記25]
前記衝突の前記特徴は、前記衝突の第1衝撃後かつ前記衝突の最終衝撃前のイベントを含む、付記21に記載の方法。
[付記26]
前記衝突の前記特徴は、前記衝突の最大衝撃に関して決定されたイベントを含む、付記21に記載の方法。
[付記27]
前記衝突の前記特徴は、前記衝突中の前記車両の位置または方向に関連付けられた特徴を含む、付記21に記載の方法。
[付記28]
前記人間が読める文書は、衝突記述を含む、付記1に記載の方法。
[付記29]
前記文書自動生成工程は、前記衝突の特徴に対応する所定の文章のフレーズを組み立てる工程を含む、付記1に記載の方法。
[付記30]
前記文章のフレーズは、(a)時刻、(b)位置または方向、および(c)速度のうちの少なくとも1つを特定する付記29に記載の方法。
Various other data elements can form the basis of the elements of the description. The description can be expressed in a wide variety of ways for a given set of data elements.
Other implementations are also within the scope of the following claims.
[Appendix 1]
A method of automatically generating vehicle-related collision documents, wherein the method is:
The process of receiving telematics data generated by one or more sensors associated with the vehicle's telematics device.
Based on the telematics data, the process of determining the vehicle collision period that starts at the start time of the vehicle collision and ends at the end time, and
A step of determining one or more metrics associated with the vehicle during the vehicle collision period based on the telematics data.
A method comprising an automatic document generation step of automatically generating a human readable document regarding the vehicle collision based on the one or more metrics.
[Appendix 2]
The method according to Appendix 1, wherein the collision detection component comprises a step of calculating the probability that the telematics data is associated with a vehicle collision based on a collision detection model.
[Appendix 3]
The method of Appendix 1, wherein the human readable document comprises a description of the vehicle collision including a description of the one or more metrics.
[Appendix 4]
The method according to Appendix 3, comprising a step of displaying a human-readable document regarding the vehicle collision.
[Appendix 5]
A step in which the collision metrics component calculates the first altitude change rate and the second altitude change rate based on the telematics data.
A step in which the collision metrics component calculates the difference between the first altitude change rate and the second altitude change rate.
The method according to Appendix 1, wherein the collision metrics component comprises a step of determining that the airbag associated with the vehicle has been deployed based on the difference satisfying a predetermined threshold.
[Appendix 6]
A step in which the collision metrics component calculates one or more peak acceleration values for one or more axes associated with the telematics device based on the telematics data.
The collision metrics component is the step of calculating an acceleration event based on the one or more peak acceleration values, where the acceleration event is one of each of one or more axes associated with the telematics device. A process that includes only one peak acceleration value and
The method of Appendix 1, wherein the collision metrics component determines a qualitative measurement of the acceleration of each of the one or more axes associated with the telematics device based on the acceleration event.
[Appendix 7]
The method according to Appendix 6, comprising a step of calculating the direction of the vehicle impact of the vehicle based on the acceleration event.
[Appendix 8]
The method according to Appendix 6, comprising a step of calculating the operation of the vehicle before the impact of the vehicle based on the acceleration event.
[Appendix 9]
The method according to Appendix 1, comprising the step of calculating the severity score of the vehicle collision based on the one or more metrics.
[Appendix 10]
The method according to Appendix 1, further comprising a step of identifying a human gait that occurs after the start time of the vehicle collision period based on the telematics data.
[Appendix 11]
A vehicle telematics system that automatically generates vehicle collision documents.
With the processor
The processor comprises a storage of instructions that can be executed by the processor.
The process of acquiring telematics data from one or more sensors associated with a telematics device, and
Based on the telematics data, a process of calculating a vehicle collision period that starts at the start time of the vehicle collision and ends at the end time, and
A step of determining one or more metrics associated with a vehicle during the vehicle collision period based on the telematics data.
A system that automatically provides a human-readable document regarding the vehicle collision based on the one or more metrics.
[Appendix 12]
11. The system of Appendix 11, wherein the one or more sensors comprises at least one of an accelerometer, a speedometer, a barometer, a gyroscope, a compass, and a position sensor.
[Appendix 13]
11. The system according to Appendix 11, comprising a user interface for displaying a human readable document with respect to the vehicle collision.
[Appendix 14]
11 The system of Appendix 11, wherein the human readable document with respect to the vehicle collision comprises a description of the vehicle collision including a description of the one or more metrics.
[Appendix 15]
The one or more metrics include collision duration, number of impacts, average acceleration, yawing during the vehicle collision, vehicle impact direction, airbag deployment display, vehicle rollover display, vehicle operation display, said vehicle. 11. The system of Appendix 11, comprising an indication of whether or not the vehicle was driven after a collision and at least one of the indications of environmental conditions during the vehicle collision.
[Appendix 16]
11 is provided with a communication circuit that communicates the telematics data, the vehicle collision period, the one or more metrics, and one or more of the human readable documents regarding the vehicle collision to a remote server. system.
[Appendix 17]
16. The system of Appendix 16, wherein the remote server is associated with at least one of a vehicle safety agency, an insurance company, an emergency service, a user of the telematics device, and a user of the vehicle.
[Appendix 18]
The system according to Appendix 11, wherein the telematics device includes a mobile device.
[Appendix 19]
With additional instructions that can be executed by the processor
The system according to Appendix 11, wherein the collision detection component performs a step of calculating the probability that the telematics data is associated with a vehicle collision based on the collision detection model.
[Appendix 20]
With additional instructions that can be executed by the processor
The system according to Appendix 11, wherein the step of identifying a human gait that occurs after the start time of the vehicle collision period based on the telematics data is performed.
[Appendix 21]
The method according to Appendix 1, wherein the document automatic generation step includes a step of deriving the characteristics of the collision from the telematics data.
[Appendix 22]
21. The method of Appendix 21, wherein the feature of the collision comprises an event prior to the first impact of the collision.
[Appendix 23]
21. The method of Appendix 21, wherein the feature of the collision comprises an event after the final impact of the collision.
[Appendix 24]
21. The method of Appendix 21, wherein the characteristic of the collision includes vehicle speed.
[Appendix 25]
21. The method of Appendix 21, wherein the feature of the collision comprises an event after the first impact of the collision and before the final impact of the collision.
[Appendix 26]
21. The method of Appendix 21, wherein the feature of the collision comprises an event determined with respect to the maximum impact of the collision.
[Appendix 27]
21. The method of Appendix 21, wherein said features of the collision include features associated with the position or orientation of the vehicle during the collision.
[Appendix 28]
The method according to Appendix 1, wherein the human-readable document includes a collision description.
[Appendix 29]
The method according to Appendix 1, wherein the document automatic generation step includes a step of assembling a phrase of a predetermined sentence corresponding to the characteristics of the collision.
[Appendix 30]
The method of Appendix 29, wherein the phrase in the sentence specifies at least one of (a) time, (b) position or direction, and (c) speed.

Claims (21)

車両衝突の開始時刻前のモバイル装置の状態を文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の通話に関連する状態を判定する命令を実行する工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記通話に関連する状態の表示含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A way to document the state of a mobile device before the start time of a vehicle collision .
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining a state related to a call of a mobile device before the start time of the vehicle collision based on the data.
A step in which the processor automatically generates a document relating to the vehicle collision, wherein the document comprises displaying a state associated with the call of the mobile device prior to the start time of the vehicle collision. Generation process and
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user.
前記通話に関連する状態は、進行中の通話を含む、請求項に記載の方法。 The method of claim 1 , wherein the state associated with the call comprises an ongoing call. 前記通話に関連する状態は、進行中の通話を含まない、請求項に記載の方法。 The method of claim 1 , wherein the state associated with the call does not include an ongoing call. 前記通話に関連する状態は、ハンズフリー状態を含む、請求項に記載の方法。 The method according to claim 1 , wherein the state related to the call includes a hands-free state. 受信した前記テレマティクスデータは、テレマティクス装置の1つまたは複数のセンサによって生成される、請求項に記載の方法。 The method of claim 1 , wherein the received telematics data is generated by one or more sensors of the telematics device. 前記モバイル装置は、前記テレマティクス装置を含む、請求項に記載の方法。 The method of claim 5 , wherein the mobile device comprises the telematics device. 前記1つまたは複数のセンサは、加速度計、速度計、気圧計、ジャイロスコープ、コンパス、および位置センサのうちの少なくとも1つを含む、請求項に記載の方法。 The method of claim 1 , wherein the one or more sensors comprises at least one of an accelerometer, a speedometer, a barometer, a gyroscope, a compass, and a position sensor. 前記1つまたは複数のセンサは、カメラまたは他の撮像装置を含む、請求項に記載の方法。 7. The method of claim 7 , wherein the one or more sensors comprises a camera or other imaging device. 前記ユーザ装置は、自動車安全機関、保険会社、緊急サービス、前記モバイル装置のユーザ、および前記車両のユーザのうちの少なくとも1つに関連付けられる、請求項に記載の方法。 The method of claim 1 , wherein the user device is associated with at least one of a vehicle safety agency, an insurance company, an emergency service, a user of the mobile device, and a user of the vehicle. 前記文書は、前記車両衝突の特徴に関して人間が読める記述的記載を含む、請求項に記載の方法。 The method of claim 1 , wherein the document comprises a human-readable descriptive description of the characteristics of the vehicle collision. 前記文書自動生成工程は、前記車両衝突の前記特徴に対応する所定の文章のフレーズを組み立てる工程を含む、請求項10に記載の方法。 The method according to claim 10 , wherein the document automatic generation step includes a step of assembling a phrase of a predetermined sentence corresponding to the feature of the vehicle collision. 前記文章のフレーズは、(a)時刻、(b)位置または方向、および(c)速度のうちの少なくとも1つを特定する請求項11に記載の方法。 11. The method of claim 11 , wherein the phrase in the sentence specifies at least one of (a) time, (b) position or direction, and (c) speed. 前記プロセッサは、前記車両にはない、請求項に記載の方法。 The method of claim 1 , wherein the processor is not in the vehicle. 1つまたは複数のメトリックスに基づき、前記車両の車両衝撃の方向を決定する工程と、 The process of determining the direction of the vehicle impact of the vehicle based on one or more metrics, and
前記車両衝撃の前記方向を含む、前記車両衝突に関する文書を生成する工程と、を備える請求項1に記載の方法。 The method of claim 1, comprising the step of generating a document relating to the vehicle collision, comprising said direction of the vehicle impact.
車両衝突に関連付けられる道路に対するユーザの熟知度を文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の状態を判定する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、前記車両衝突に関連付けられた道路を決定する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、前記車両衝突に関連付けられた前記道路に対する前記車両のユーザの熟知度を決定する工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記状態の表示と、前記道路に対する前記ユーザの前記熟知度とを含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A way to document a user's familiarity with the road associated with a vehicle collision.
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining the state of the mobile device before the start time of the vehicle collision based on the data.
A step in which the processor determines the road associated with the vehicle collision based on the telematics data.
A step in which the processor determines the user familiarity of the vehicle with respect to the road associated with the vehicle collision based on the telematics data.
The processor is a step of automatically generating a document relating to the vehicle collision, wherein the document is a display of the state of the mobile device before the start time of the vehicle collision and the user's said to the road. Automatic document generation process, including familiarity, and
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user .
車両衝突中の車両のヨーイングを文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の状態を判定する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、前記車両衝突中の前記車両のヨーレートを決定する工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記状態の表示と、既定の閾値を超える前記ヨーレートに基づき、前記車両衝突中に前記車両はヨーイングしていたという記載とを含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A way to document yawing of a vehicle in a vehicle collision,
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining the state of the mobile device before the start time of the vehicle collision based on the data.
A step in which the processor determines the yaw rate of the vehicle during the vehicle collision based on the telematics data.
The processor is a step of automatically generating a document relating to the vehicle collision, wherein the document displays the state of the mobile device before the start time of the vehicle collision and the yaw rate exceeding a predetermined threshold. Based on the automatic document generation step, including the statement that the vehicle was yawing during the vehicle collision.
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user .
車両の衝突後に発生する前記車両のユーザに関連付けられる人間の歩行を文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の状態を判定する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、前記車両のユーザに関連付けられた人間の歩行を検出する工程であって、前記人間の歩行は前記車両衝突後に発生する、工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記状態の表示と、前記ユーザの前記人間の歩行に基づき、前記衝突後に前記車両の前記ユーザが歩いていたという記載とを含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A method of documenting a human gait associated with a user of said vehicle that occurs after a vehicle collision.
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining the state of the mobile device before the start time of the vehicle collision based on the data.
A step in which the processor detects a human gait associated with a user of the vehicle based on the telematics data, wherein the human gait occurs after the vehicle collision.
The processor is a step of automatically generating a document relating to the vehicle collision, wherein the document displays the state of the mobile device before the start time of the vehicle collision and the user's gait. Based on the automatic document generation step, including the statement that the user of the vehicle was walking after the collision.
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user .
車両衝突中の車両の複数の位置を文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の状態を判定する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、前記車両衝突の前記開始時の前記車両の第1位置および前記車両衝突の終了時の前記車両の第2位置を決定する工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記状態の表示と、前記車両衝突中の前記車両の前記第1位置および前記第2位置を示す1つまたは複数のマーカを含む地図とを含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A method of documenting multiple positions of a vehicle in a vehicle collision,
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining the state of the mobile device before the start time of the vehicle collision based on the data.
A step in which the processor determines the first position of the vehicle at the start time of the vehicle collision and the second position of the vehicle at the end time of the vehicle collision based on the telematics data.
The processor is a step of automatically generating a document relating to the vehicle collision, wherein the document displays the state of the mobile device before the start time of the vehicle collision and the vehicle during the vehicle collision. An automatic document generation step comprising a map comprising the first position and one or more markers indicating the second position of the document.
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user .
車両衝突中に車両に関連付けられたエアバッグが展開されたことを文書化する方法であって、
プロセッサが、車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する命令を実行する工程と、
前記プロセッサが、前記車両衝突中の前記車両のデータを受信する命令を実行する工程と、
前記プロセッサが、前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の状態を判定する命令を実行する工程と、
前記プロセッサが、前記テレマティクスデータに基づき、第1高度変化率および第2高度変化率を計算する工程と、
前記プロセッサが、前記第1高度変化率と前記第2高度変化率との差を計算する工程と、
前記プロセッサが、前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記状態の表示と、既定の閾値を満足する前記差に基づき、前記車両に関連付けられた前記エアバッグが展開されたという記載とを含む、文書自動生成工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備える方法。
A way to document the deployment of airbags associated with a vehicle during a vehicle collision.
The process by which the processor executes an instruction to receive telematics data generated by one or more sensors in the vehicle.
A process in which the processor executes an instruction for specifying a vehicle collision start time based on the telematics data.
A step in which the processor executes an instruction to receive data of the vehicle during the vehicle collision.
A step in which the processor executes an instruction for determining the state of the mobile device before the start time of the vehicle collision based on the data.
The process in which the processor calculates the first altitude change rate and the second altitude change rate based on the telematics data, and
A step in which the processor calculates the difference between the first altitude change rate and the second altitude change rate.
The processor is a step of automatically generating a document relating to the vehicle collision, wherein the document satisfies the display of the state of the mobile device before the start time of the vehicle collision and a predetermined threshold. An automated document generation step, including a statement that the airbag associated with the vehicle was deployed based on the difference.
A method comprising a step of communicating the document with a user apparatus and presenting the document to the user .
車両衝突の開始時刻前のモバイル装置の状態を文書化するシステムであって、前記システムは、
プロセッサと、
前記プロセッサによって実行可能な命令の記憶部と、を備え、前記プロセッサは、
車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する工程と、
前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する工程と、
前記車両衝突中の前記車両のデータを受信する工程と、
前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の通話に関連する状態を判定する工程と、
前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記通話に関連する状態の表示を含む、工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を行うシステム。
A system that documents the state of a mobile device before the start time of a vehicle collision .
With the processor
The processor comprises a storage of instructions that can be executed by the processor.
The process of receiving telematics data generated by one or more sensors in the vehicle, and
A process of specifying the start time of a vehicle collision based on the telematics data, and
The process of receiving the data of the vehicle during the vehicle collision and
Based on the data, a step of determining a state related to a call of the mobile device before the start time of the vehicle collision, and a step of determining the state.
A step of automatically generating a document relating to a vehicle collision, wherein the document comprises displaying a state associated with the call of the mobile device prior to the start time of the vehicle collision.
A system that performs a process of communicating the document with a user device and presenting the document to the user.
プロセッサによって実行されると、前記プロセッサに車両衝突の開始時刻前のモバイル装置の状態を文書化するための演算を実行させる命令を有する非一時的なコンピュータ可読記憶媒体であって、前記演算は、
車両の1つまたは複数のセンサによって生成されたテレマティクスデータを受信する工程と、
前記テレマティクスデータに基づき、車両衝突の開始時刻を特定する工程と、
前記車両衝突中の前記車両のデータを受信する工程と、
前記データに基づき、前記車両衝突の前記開始時刻前のモバイル装置の通話に関連する状態を判定する工程と、
前記車両衝突に関する文書を自動的に生成する工程であって、前記文書は、前記車両衝突の前記開始時刻前の前記モバイル装置の前記通話に関連する状態の表示含む、工程と、
前記文書をユーザ装置に通信してユーザに提示する工程と、を備えるコンピュータ可読記憶媒体。
A non-temporary computer-readable storage medium having instructions that, when executed by a processor, causes the processor to perform an operation for documenting the state of a mobile device prior to the start time of a vehicle collision .
The process of receiving telematics data generated by one or more sensors in the vehicle, and
A process of specifying the start time of a vehicle collision based on the telematics data, and
The process of receiving the data of the vehicle during the vehicle collision and
Based on the data, a step of determining a state related to a call of the mobile device before the start time of the vehicle collision, and a step of determining the state.
A step of automatically generating a document relating to a vehicle collision, wherein the document comprises displaying a state associated with the call of the mobile device prior to the start time of the vehicle collision.
A computer-readable storage medium comprising a step of communicating the document with a user apparatus and presenting the document to the user.
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Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8977426B2 (en) * 2012-06-04 2015-03-10 Geotab Inc. VIN based accelerometer threshold
US10300876B1 (en) * 2015-11-09 2019-05-28 State Farm Mutual Automobile Insurance Company Detection and classification of events
US10764561B1 (en) 2016-04-04 2020-09-01 Compound Eye Inc Passive stereo depth sensing
ES2736901A1 (en) 2018-06-29 2020-01-08 Geotab Inc Characterization of a vehicle collision (Machine-translation by Google Translate, not legally binding)
US10246037B1 (en) * 2018-07-16 2019-04-02 Cambridge Mobile Telematics Inc. Vehicle telematics of vehicle crashes
US10582354B1 (en) * 2018-10-05 2020-03-03 Allstate Insurance Company Systems and methods for automatic breakdown detection and roadside assistance
US11308741B1 (en) 2019-05-30 2022-04-19 State Farm Mutual Automobile Insurance Company Systems and methods for modeling and simulation in vehicle forensics
US11699306B2 (en) * 2019-08-16 2023-07-11 Cambridge Mobile Telematics, Inc. Method and system for vehicle speed estimation
US11514482B2 (en) * 2019-09-06 2022-11-29 Honda Motor Co., Ltd. Systems and methods for estimating a remaining value
US10997800B1 (en) 2020-01-22 2021-05-04 Zendrive, Inc. Method and system for vehicular collision reconstruction
CN111243338A (en) * 2020-02-12 2020-06-05 南京理工大学 Vehicle acceleration-based collision risk evaluation method
EP4131121A4 (en) * 2020-03-25 2023-06-07 Bosch Corporation Event data processing device and vehicle assessment system
CN111598347B (en) * 2020-05-20 2024-02-09 上海评驾科技有限公司 Ultra-long travel segmentation optimization method for road transport vehicle
US11562603B2 (en) * 2020-06-26 2023-01-24 Allstate Insurance Company Collision analysis platform using machine learning to reduce generation of false collision outputs
JP2022109023A (en) * 2021-01-14 2022-07-27 トヨタ自動車株式会社 Information processing device, information processing method and information processing program
US11941986B2 (en) 2021-02-03 2024-03-26 Geotab Inc. Methods for characterizing a low-impact vehicle collision using high-rate acceleration data
US11884285B2 (en) 2021-02-03 2024-01-30 Geotab Inc. Systems for characterizing a vehicle collision
US11862022B2 (en) 2021-02-03 2024-01-02 Geotab Inc. Methods for characterizing a vehicle collision
US11841231B2 (en) * 2021-05-25 2023-12-12 Cambridge Mobile Telematics Inc. Method and system for vehicle route determination based on motion data
US20230035856A1 (en) * 2021-07-20 2023-02-02 Cambridge Mobile Telematics Inc. Identifying unreliable global navigation satellite system (gnss) data
FR3129518A1 (en) * 2021-11-19 2023-05-26 Psa Automobiles Sa Method for estimating the damage caused by a collision suffered by a motor vehicle, and associated electronic device
CN117765635B (en) * 2024-02-22 2024-04-19 天津布尔科技有限公司 Automobile collision event monitoring and recording method and automobile event recording system

Family Cites Families (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7050897B2 (en) 1992-05-05 2006-05-23 Automotive Technologies International, Inc. Telematics system
US6076028A (en) * 1998-09-29 2000-06-13 Veridian Engineering, Inc. Method and apparatus for automatic vehicle event detection, characterization and reporting
US6185490B1 (en) * 1999-03-15 2001-02-06 Thomas W. Ferguson Vehicle crash data recorder
JP2003182508A (en) * 2001-12-18 2003-07-03 Denso Corp Occupant protecting device for vehicle
US6882912B2 (en) * 2002-03-19 2005-04-19 Ford Global Technologies, Llc Real time stamping synchronization system
US7359821B1 (en) * 2002-06-11 2008-04-15 Injury Sciences Llc Methods and apparatus for using black box data to analyze vehicular accidents
DE10240838A1 (en) * 2002-09-04 2004-03-18 Robert Bosch Gmbh Motor vehicle accident reconstruction method, in which driving data for use in accident reconstruction is captured from existing onboard control electronics and used to generate a dynamic 3D kinematic model which is recorded
US20050038580A1 (en) * 2003-08-15 2005-02-17 Seim Kerri Jean Information about structural integrity of vehicles
US7180407B1 (en) * 2004-11-12 2007-02-20 Pengju Guo Vehicle video collision event recorder
US8520069B2 (en) * 2005-09-16 2013-08-27 Digital Ally, Inc. Vehicle-mounted video system with distributed processing
IL181851A0 (en) * 2007-03-11 2007-07-04 Truphatek Int Ltd Laryngoscope handle and accessories therefor
US20090051510A1 (en) * 2007-08-21 2009-02-26 Todd Follmer System and Method for Detecting and Reporting Vehicle Damage
KR101040118B1 (en) * 2008-08-04 2011-06-09 한국전자통신연구원 Apparatus for reconstructing traffic accident and control method thereof
DE102009046230A1 (en) * 2009-10-30 2011-05-12 Robert Bosch Gmbh Collision monitoring for a motor vehicle
US20110130906A1 (en) * 2009-12-01 2011-06-02 Ise Corporation Location Based Vehicle Data Logging and Diagnostic System and Method
US8805707B2 (en) * 2009-12-31 2014-08-12 Hartford Fire Insurance Company Systems and methods for providing a safety score associated with a user location
US8433471B2 (en) * 2010-05-18 2013-04-30 General Motors Llc Pre-filling vehicle data check
US9087362B2 (en) 2010-11-08 2015-07-21 International Business Machines Corporation Traffic collision incident visualization with location context
US8644165B2 (en) * 2011-03-31 2014-02-04 Navteq B.V. Method and apparatus for managing device operational modes based on context information
US20130052614A1 (en) * 2011-08-31 2013-02-28 Pulsar Informatics, Inc. Driver Performance Metric
JP2015513330A (en) 2012-01-13 2015-05-07 パルス ファンクション エフ6 リミテッド Telematics system with 3D inertial sensor
JP5842705B2 (en) * 2012-03-29 2016-01-13 株式会社Jvcケンウッド Electronic device, operation history erasure prevention method and program
US8457880B1 (en) 2012-11-28 2013-06-04 Cambridge Mobile Telematics Telematics using personal mobile devices
JP5796751B2 (en) * 2013-01-10 2015-10-21 株式会社デンソー Vehicle information recording device
US9524592B2 (en) * 2013-06-03 2016-12-20 Honda Motor Co., Ltd. Driving analytics
JP5786901B2 (en) * 2013-06-20 2015-09-30 株式会社デンソー Accident reporting system
US9696858B2 (en) * 2013-07-08 2017-07-04 Synaptics Incorporated Display device having an integrated sensing device with improved proximity sensing
US20150014569A1 (en) * 2013-07-10 2015-01-15 Hamilton Sundstrand Corporation Coating arrangement for sliding actuator assembly and method
US10002339B2 (en) * 2013-07-11 2018-06-19 Fluor Technologies Corporation Post-disaster assessment systems and methods
GB201317257D0 (en) * 2013-09-28 2013-11-13 Quartix Ltd Low-impact crash detection system
US10121291B2 (en) 2013-10-29 2018-11-06 Ford Global Technologies, Llc Method and apparatus for visual accident detail reporting
US9472104B2 (en) * 2013-11-26 2016-10-18 Elwha Llc Systems and methods for automatically documenting an accident
US20150287130A1 (en) * 2014-04-04 2015-10-08 Verc, Inc. Systems and methods for assessing damage of rental vehicle
LT3300032T (en) * 2014-04-29 2020-07-27 Discovery Limited A system for obtaining vehicle telematics data
US9628975B1 (en) * 2014-08-06 2017-04-18 Mobile Video Computing Solutions Llc Crash event detection, response and reporting apparatus and method
US9913099B2 (en) * 2014-08-06 2018-03-06 Mobile Video Computing Solutions, LLC Crash event detection, response and reporting apparatus and method
US9392431B2 (en) * 2014-09-30 2016-07-12 Verizon Patent And Licensing Inc. Automatic vehicle crash detection using onboard devices
JP6486640B2 (en) * 2014-10-09 2019-03-20 株式会社日立製作所 Driving characteristic diagnostic device, driving characteristic diagnostic system, driving characteristic diagnostic method, information output device, information output method
US9508201B2 (en) * 2015-01-09 2016-11-29 International Business Machines Corporation Identifying the origins of a vehicular impact and the selective exchange of data pertaining to the impact
US9767625B1 (en) * 2015-04-13 2017-09-19 Allstate Insurance Company Automatic crash detection
US9672719B1 (en) 2015-04-27 2017-06-06 State Farm Mutual Automobile Insurance Company Device for automatic crash notification
US20170017766A1 (en) * 2015-07-17 2017-01-19 Moj.Io Inc. Health-aware car accident telematics
US9818239B2 (en) 2015-08-20 2017-11-14 Zendrive, Inc. Method for smartphone-based accident detection
US9988056B2 (en) * 2015-12-15 2018-06-05 Octo Telematics Spa Systems and methods for controlling sensor-based data acquisition and signal processing in vehicles
US11220258B2 (en) 2016-01-26 2022-01-11 Cambridge Mobile Telematics Inc. Systems and methods for sensor-based vehicle crash prediction, detection, and reconstruction
US9886841B1 (en) * 2016-04-27 2018-02-06 State Farm Mutual Automobile Insurance Company Systems and methods for reconstruction of a vehicular crash
US11276256B2 (en) * 2016-08-25 2022-03-15 Airbnb, Inc. Traffic event recording and recreation
US10332320B2 (en) * 2017-04-17 2019-06-25 Intel Corporation Autonomous vehicle advanced sensing and response
WO2018229550A1 (en) * 2017-06-16 2018-12-20 Nauto Global Limited System and method for adverse vehicle event determination
ES2736901A1 (en) * 2018-06-29 2020-01-08 Geotab Inc Characterization of a vehicle collision (Machine-translation by Google Translate, not legally binding)
US10246037B1 (en) * 2018-07-16 2019-04-02 Cambridge Mobile Telematics Inc. Vehicle telematics of vehicle crashes
US11074769B2 (en) * 2019-03-26 2021-07-27 Cambridge Mobile Telematics Inc. Safety for vehicle users
US10997800B1 (en) * 2020-01-22 2021-05-04 Zendrive, Inc. Method and system for vehicular collision reconstruction

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