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TWI782751B - Method and system of intelligent auxiliary judgement and processing for traffic violations - Google Patents

Method and system of intelligent auxiliary judgement and processing for traffic violations Download PDF

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TWI782751B
TWI782751B TW110138205A TW110138205A TWI782751B TW I782751 B TWI782751 B TW I782751B TW 110138205 A TW110138205 A TW 110138205A TW 110138205 A TW110138205 A TW 110138205A TW I782751 B TWI782751 B TW I782751B
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traffic
vehicle
event
server
data
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TW202316361A (en
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方昱翔
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神達數位股份有限公司
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Abstract

In a system of intelligent auxiliary judgement and processing for traffic violations, a judgement server uses a pre-trained AI violation judgement model to analyze received driving record data related to a traffic event. When judging the violation of the traffic event, the judgement server transmits to an electronic terminal report, which is generated based on the driving record image, time data of the traffic event and vehicle’s location data, together with the link URL of a report platform, such that the report is thus sent from the electronic terminal to the report platform. When the traffic event cannot be successfully judged, upon judging based on sound data of the traffic event, the driving record data and vehicle’s inertial data that there is property damage or personal damage, the judgement server transmits the driving record data and contact information of a vehicle’s driver to a consulting server, such that the consulting server provides consulting services to the vehicle’s driver.

Description

交通違規的智能輔助判斷及處理方法及系統Intelligent auxiliary judgment and processing method and system for traffic violations

本發明是有關交通違規行為的判斷,特別是指一種交通違規的智能輔助判斷及處理方法及系統。 The invention relates to the judgment of traffic violations, in particular to an intelligent auxiliary judgment and processing method and system for traffic violations.

目前的行車紀錄器可以自動或手動的方式紀錄車輛在行駛中的相關影像。特別是在遭遇到交通事故或遇見另一車輛可能發生交通違規的情況下,由於一般駕駛人針對各種交通違規行為在法律或法規上的認知未免不足,而往往無法根據行車紀錄器所紀錄的相關影像正確地判斷是否存在有交通違規的情事,因而錯失舉發違規的先機,如此不僅恐導致自身的權益受損而不自知,而且也可能無形中姑息了故意違規的駕駛人。 The current driving recorder can automatically or manually record relevant images of the vehicle in motion. Especially in the case of encountering a traffic accident or encountering another vehicle that may cause traffic violations, because ordinary drivers have insufficient knowledge of laws or regulations for various traffic violations, they often cannot The video correctly judges whether there is a traffic violation, and thus misses the opportunity to report the violation. This will not only cause damage to one's own rights and interests without knowing it, but also may imperceptibly appease drivers who deliberately violate the rules.

另一方面,當駕駛人遭遇交通事故時,駕駛人及相關的當事人恐另須求助於法律顧問的諮詢,以釐清肇責,如此將導致相對昂貴的法律諮詢費用。 On the other hand, when a driver encounters a traffic accident, the driver and related parties may have to seek help from legal counsel to clarify the culpability, which will result in relatively expensive legal consultation fees.

因此,如何發想出使駕駛人花費最少卻能正確地判斷交通違規以提升交通安全和公共安全的方式已成為相關技術領域所欲解決的議題之一。 Therefore, it has become one of the issues to be solved in the relevant technical field how to devise a way to make the driver spend the least amount of money to correctly judge traffic violations to improve traffic safety and public safety.

因此,本發明的目的,即在提供一種交通違規的智能輔助判斷及處理方法及系統,其能克服現有技術至少一個缺點。 Therefore, the object of the present invention is to provide an intelligent auxiliary judgment and processing method and system for traffic violations, which can overcome at least one shortcoming of the prior art.

於是,本發明所提供的一種交通違規的智能輔助判斷及處理方法係利用一判斷伺服器來執行,並包含以下步驟:(A)接收有關於一車輛及另一車輛其中至少一者的一交通事件的一事件判斷請求,該事件判斷請求包含該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料,該行車紀錄資料包括含有該車輛中的駕駛人及乘客的車內影像資訊、含有該另一車輛的車外影像資訊、及該車輛所處環境的聲音資訊;(B)利用一預先訓練的AI違規判斷模型,分析該車外影像資訊,以獲得一對應於該交通事件的判斷結果,該判斷結果指示出與該交通事件匹配的交通違規行為,或無法成功判斷該交通事件;(C)當該判斷結果指示出與該交通事件匹配的該交通違規行為時,根據該車外影像資訊、該時間資料和該定位資料產生一對應於該交通違規行為的檢舉報告,並將一包含該檢舉報告和一檢舉平台的連結網址的事件判斷回覆傳送 至一電子終端,以供該電子終端透過該連結網址將該檢舉報告傳送至該檢舉平台;及(D)當該判斷結果指示出無法成功判斷該交通事件時,根據該聲音資訊、該車內影像資訊和該慣性資料,判斷該交通事件是否發生有高於一預定金額的財損或人損,並在判斷出該交通事件發生有高於該預定金額的財損或者在判斷出該交通事件發生有人損時,將包含該行車紀錄資料和該車輛的駕駛人的聯絡資料的的事件諮詢資料傳送至一諮詢伺服器,以供該諮詢伺服器對於該駕駛人進一步提供有關該交通事件的諮詢服務。 Therefore, an intelligent auxiliary judging and processing method for traffic violations provided by the present invention is implemented by a judging server, and includes the following steps: (A) receiving a traffic information about at least one of a vehicle and another vehicle An event judgment request for an event, the event judgment request includes the positioning data, time data, driving record data and inertial data of the vehicle corresponding to the traffic event, the driving record data includes the vehicle interior information of the driver and passengers in the vehicle Image information, image information outside the vehicle containing the other vehicle, and sound information of the environment in which the vehicle is located; (B) using a pre-trained AI violation judgment model to analyze the image information outside the vehicle to obtain a corresponding traffic incident (C) when the judgment result indicates the traffic violation that matches the traffic event, according to the The image information outside the vehicle, the time data and the positioning data generate a reporting report corresponding to the traffic violation, and send an event judgment reply including the reporting report and a link URL of a reporting platform to an electronic terminal, so that the electronic terminal transmits the reporting report to the reporting platform through the linked website; and (D) when the judgment result indicates that the traffic incident cannot be successfully judged, according to the sound information, the image information and the inertial data to determine whether the traffic incident has property damage or personal damage higher than a predetermined amount, and when it is judged that the traffic incident has a property loss higher than the predetermined amount or when it is judged that the traffic incident has occurred When a person is damaged, the event consultation information including the driving record data and the driver's contact information of the vehicle is sent to a consultation server, so that the consultation server can provide further consultation on the traffic incident to the driver Serve.

本發明的交通違規的智能輔助判斷及處理方法還利用一安裝於該車輛且能與該判斷伺服器通訊連接的車載系統來執行,並在步驟(A)之前還包含以下步驟:(E)當該車載系統在該交通事件發生時偵測到與該車輛的行車速度和行車方向其中至少一者的變化相關聯的一特定行駛狀況時,或者當該車載系統接收到對應於該交通事件的一輸入控制時,該車載系統回應於該特定行駛狀況或該輸入控制而蒐集該定位資料、該時間資料、該行車紀錄資料及該慣性資料以產生該事件判斷請求,並將該事件判斷請求發送至該判斷伺服器。 The intelligent auxiliary judging and processing method of traffic violations of the present invention also utilizes an on-vehicle system installed in the vehicle and capable of communicating with the judging server to execute, and also includes the following steps before step (A): (E) when When the vehicle-mounted system detects a specific driving condition associated with a change in at least one of the vehicle's driving speed and driving direction when the traffic event occurs, or when the vehicle-mounted system receives a corresponding to the traffic event When the control is input, the in-vehicle system collects the positioning data, the time data, the driving record data and the inertial data in response to the specific driving situation or the input control to generate the event judgment request, and sends the event judgment request to The judgment server.

本發明的交通違規的智能輔助判斷及處理方法中,在步驟(E)中,該特定行駛狀況包含緊急煞車和緊急轉向其中至少一者。 In the intelligent auxiliary judging and processing method for traffic violations of the present invention, in step (E), the specific driving condition includes at least one of emergency braking and emergency steering.

於是,本發明所提供的一種交通違規的智能輔助判斷及 處理系統包含一判斷伺服器、及一諮詢伺服器。 Therefore, a kind of intelligent assistant judging and The processing system includes a judging server and a consulting server.

該判斷伺服器配置有一含有與各種交通違規行為有關的大量參考影像資料的交通違規資料庫,並儲存有一預先根據該大量參考影像資料經由機器學習的訓練方式而建立的AI違規判斷模型。 The judging server is configured with a traffic violation database containing a large amount of reference image data related to various traffic violations, and stores an AI violation judgment model established in advance through machine learning training based on the large amount of reference image data.

該諮詢伺服器連接該判斷伺服器,並操作來提供有關交通事件的在交通或法律上的諮詢服務。 The consulting server is connected to the judging server, and operates to provide a traffic or legal consulting service on traffic events.

該判斷伺服器接收有關於一車輛及另一車輛其中至少一者的一交通事件的一事件判斷請求,該事件判斷請求包含該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料,該行車紀錄資料包括含有該車輛中的駕駛人及乘客的車內影像資訊、含有該另一車輛的車外影像資訊、及該車輛所處環境的聲音資訊。 The judging server receives an event judging request related to a traffic event of at least one of a vehicle and another vehicle, the event judging request includes positioning data, time data, driving record data and Inertial data, the driving record data includes in-vehicle image information containing the driver and passengers in the vehicle, external image information containing the other vehicle, and sound information of the environment in which the vehicle is located.

該判斷伺服器利用該AI違規判斷模型,分析該車外影像資訊,以獲得一對應於該交通事件的判斷結果,該判斷結果指示出與該交通事件匹配的交通違規行為,或無法成功判斷該交通事件。 The judging server uses the AI violation judging model to analyze the image information outside the vehicle to obtain a judging result corresponding to the traffic event. event.

當該判斷結果指示出與該交通事件匹配的該交通違規行為時,該判斷伺服器根據該車外影像資訊、該時間資料和該定位資料產生一對應於該交通違規行為的檢舉報告,並將一包含該檢舉報告和一檢舉平台的連結網址的事件判斷回覆傳送至一電子終端,以供該電子終端透過該連結網址將該檢舉報告傳送至該檢舉平台。 When the judging result indicates the traffic violation matching the traffic event, the judging server generates a reporting report corresponding to the traffic violation according to the outside image information, the time data and the positioning data, and sends a An event judgment reply including the reporting report and a linked website of a reporting platform is sent to an electronic terminal, so that the electronic terminal transmits the reporting report to the reporting platform through the linked website.

當該判斷結果指示出無法成功判斷該交通事件時,該判斷伺服器根據該聲音資訊、該車內影像資訊和該慣性資料,判斷該交通事件是否發生有高於一預定金額的財損或人損,並在判斷出該交通事件發生有高於該預定金額的財損或者在判斷出該交通事件發生有人損時,將包含該行車紀錄資料和該車輛的駕駛人的聯絡資料的的事件諮詢資料傳送至該諮詢伺服器,以供該諮詢伺服器對於該駕駛人進一步提供有關該交通事件的諮詢服務。 When the judging result indicates that the traffic event cannot be successfully judged, the judging server judges whether the traffic event has property damage or personal injury higher than a predetermined amount according to the sound information, the in-vehicle image information and the inertial data. loss, and when it is judged that the traffic event has a property loss higher than the predetermined amount or when it is judged that the traffic event has caused personal damage, the event consultation including the driving record data and the contact information of the driver of the vehicle The data is sent to the consulting server, so that the consulting server can further provide consulting services about the traffic incident to the driver.

本發明的交通違規的智能輔助判斷及處理系統還包含一車載系統。該車載系統適於安裝於該車輛,通訊連接該判斷伺服器,並操作來提供該車輛啟動後的行車紀錄資料、行駛軌跡、和與慣性相關的行車控制資訊。當該車載系統在該交通事件發生時偵測到與該車輛的行車速度和行車方向其中至少一者的變化關聯的一特定行駛狀況時,或者當該車載系統接收到對應於該交通事件的一輸入控制時,該車載系統回應於該特定行駛狀況或該輸入控制而蒐集該定位資料、該時間資料、該行車紀錄資料及該慣性資料以產生該事件判斷請求,並將該事件判斷請求發送至該判斷伺服器。 The intelligent auxiliary judging and processing system for traffic violations of the present invention also includes a vehicle-mounted system. The vehicle-mounted system is adapted to be installed on the vehicle, communicated with the judging server, and operates to provide driving record data, driving trajectory, and driving control information related to inertia after the vehicle is started. When the vehicle-mounted system detects a specific driving condition associated with a change in at least one of the vehicle's driving speed and driving direction when the traffic event occurs, or when the vehicle-mounted system receives a corresponding to the traffic event When the control is input, the in-vehicle system collects the positioning data, the time data, the driving record data and the inertial data in response to the specific driving situation or the input control to generate the event judgment request, and sends the event judgment request to The judgment server.

本發明的交通違規的智能輔助判斷及處理系統中,該特定行駛狀況包含緊急煞車和緊急轉向其中至少一者。 In the intelligent auxiliary judging and processing system for traffic violations of the present invention, the specific driving condition includes at least one of emergency braking and emergency steering.

本發明的交通違規的智能輔助判斷及處理系統中,當該判斷結果指示出與該交通事件匹配的該交通違規行為時,該判斷伺 服器將該車外影像資訊作為對應於該交通違規行為的參考影像資料儲存於該交通違規資料庫。 In the intelligent auxiliary judging and processing system for traffic violations of the present invention, when the judging result indicates the traffic violation matching the traffic event, the judging The server stores the image information outside the vehicle as reference image data corresponding to the traffic violation in the traffic violation database.

本發明的功效在於:該判斷伺服器先利用該AI違規判斷模型分析車外影像資訊以進行對於交通事件是否匹配於交通違規行為的初階判斷,並在成功判斷出匹配的交通違規行為時,自動地產生檢舉報告並提供給駕駛人,以利檢舉人提出違規舉發;而在初階判斷失敗的情況下,進一步確認出該交通事件出現有高於預定金額的財損或人損時,透過諮詢伺服器來提供駕駛人在交通或法律上的進階諮詢,藉此,能以相對方便且正確的方式檢舉交通違規進而有助於提升整體的交通安全和公共安全,並且能以花費相對最少的方式獲得交通或法律上的諮詢資訊以兼顧駕駛人自身的權益。 The effect of the present invention is that: the judging server first uses the AI violation judging model to analyze the image information outside the car to make a preliminary judgment on whether the traffic event matches the traffic violation, and when the matching traffic violation is successfully judged, automatically Locally generate the reporting report and provide it to the driver, so that the informant can report violations; and if the preliminary judgment fails, if it is further confirmed that the traffic accident has more than the predetermined amount of property damage or personal damage, through consultation The server provides drivers with advanced consultation on traffic or law, so that traffic violations can be reported in a relatively convenient and correct way, which can help improve overall traffic safety and public safety, and can be spent at a relatively minimal cost In order to obtain traffic or legal consulting information in order to take into account the driver's own rights and interests.

100:交通違規的智能輔助判斷及處理系統 100: Intelligent auxiliary judgment and processing system for traffic violations

1:車載系統 1: Vehicle system

11:行車紀錄模組 11: Driving record module

12:GPS模組 12:GPS module

13:慣性感測模組 13: Inertial sensing module

14:行車電腦系統 14: Trip computer system

15:通訊模組 15: Communication module

2:判斷伺服器 2: Determine the server

21:影像資料庫 21: Image database

200:通訊網路 200: communication network

300:電子終端 300: electronic terminal

400:駕駛人 400: driver

S21~S27:步驟 S21~S27: Steps

本發明的其他的特徵及功效,將於參照圖式的實施方式中清楚地呈現,其中:圖1是一方塊圖,示例性地說明本發明實施例的一種交通違規的智能輔助判斷及處理系統;及圖2是一流程圖,示例性地說明該實施例的一判斷伺服器如何執行對應於一交通事件的交通違規的智能輔助判斷及處理程序。 Other features and effects of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: Fig. 1 is a block diagram illustrating an intelligent auxiliary judgment and processing system for a traffic violation according to an embodiment of the present invention ; and FIG. 2 is a flow chart illustrating how a judging server of this embodiment executes an intelligent auxiliary judging and processing procedure corresponding to a traffic violation of a traffic event.

在本發明被詳細描述之前,應當注意在以下的說明內容中,類似的元件是以相同的編號來表示。 Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same numerals.

參閱圖1,示例性地繪示出本發明實施例的一種交通違規的智能輔助判斷及處理系統100係用來針對行駛中車輛駕駛人所遇見或車輛本身所發生的任何交通事件,提供交通違規的智能輔助判斷和相關處理的服務。該交通違規的智能輔助判斷及處理系統100例如包含一適於安裝於一車輛(圖未示)的車載系統1、一判斷伺服器2、及一諮詢伺服器3。值得一提的是,在實際使用之前,對應於該車輛的用戶(例如,該車輛的所有人或駕駛人)可以藉由註冊程序提供相關會員基本資料(例如,包含作為車輛識別的車牌號碼、用戶名稱、用戶的聯絡資料等)以成為可以使用上述服務的會員。 Referring to Fig. 1, it schematically shows a kind of intelligent auxiliary judging and processing system 100 for traffic violations according to the embodiment of the present invention, which is used to provide traffic violation information for any traffic incidents encountered by the driver of the vehicle or the vehicle itself. Intelligent auxiliary judgment and related processing services. The intelligent auxiliary judging and processing system 100 for traffic violations includes, for example, an in-vehicle system 1 suitable for installation in a vehicle (not shown), a judging server 2 , and a consulting server 3 . It is worth mentioning that before the actual use, the user corresponding to the vehicle (for example, the owner or driver of the vehicle) can provide relevant member basic information through the registration process (for example, including the license plate number used as vehicle identification, user name, user's contact information, etc.) to become a member who can use the above services.

在本實施例中,該車載系統1操作來提供該車輛啟動後的行車紀錄資料、行駛軌跡、和與慣性相關的行車控制資訊。該車載系統1例如包含一行車紀錄模組11、一GPS模組12、一慣性感測模組13、一行車電腦系統14和一通訊模組15。該通訊模組15可操作來連接一通訊網路200。較佳地,該行車紀錄模組11操作來在紀錄於該車輛的行駛期間該車輛的內部影像資訊和外部影像資訊,以及該車輛所處環境的聲音資訊,以獲得行車紀錄資料。舉例來說,該外部影像資訊例如至少包含該車輛前方的影像資訊,更佳地,還可 以包含該車輛後方的影像資訊以及該車輛的兩側盲區的影像資訊。該GPS模組12操作來在該行駛期間定位該車輛,以獲得GPS資料並可以紀錄該行駛期間的定位資料作為該車輛的行駛軌跡。該慣性感測模組13(例如可包含多軸加速度感測器、陀螺儀等)操作來在該行駛期間感測該車輛的慣性行為(例如,在加速度和方向上的慣性行為)。該行車電腦系統14操作來監控該車輛在該行駛期間的行車控制(例如,在速度和方向上的控制)。 In this embodiment, the vehicle-mounted system 1 operates to provide driving record data, driving trajectory, and inertia-related driving control information of the vehicle after it is started. The vehicle system 1 includes, for example, a driving record module 11 , a GPS module 12 , an inertial sensing module 13 , a driving computer system 14 and a communication module 15 . The communication module 15 is operable to connect to a communication network 200 . Preferably, the driving recording module 11 operates to record the internal image information and external image information of the vehicle during the driving of the vehicle, as well as the sound information of the environment in which the vehicle is located, so as to obtain driving recording data. For example, the external image information at least includes the image information in front of the vehicle, more preferably, it can also The image information of the rear of the vehicle and the image information of the blind spots on both sides of the vehicle are included. The GPS module 12 operates to locate the vehicle during the driving to obtain GPS data and can record the positioning data during the driving as the driving track of the vehicle. The inertial sensing module 13 (eg, may include multi-axis acceleration sensors, gyroscopes, etc.) operates to sense the inertial behavior of the vehicle (eg, inertial behavior in terms of acceleration and orientation) during the driving. The trip computer system 14 operates to monitor the driving control (eg, control in speed and direction) of the vehicle during the drive.

該判斷伺服器連接該通訊網路200,配置有一含有事先蒐集到與各種交通違規行為有關的大量參考影像資料的交通違規資料庫,並儲存有一預先建立的AI違規判斷模型。在本實施例中,該AI違規判斷模型例如根據該大量參考影像資料經由機器學習的訓練方式而建立。 The judging server is connected to the communication network 200, configured with a traffic violation database containing a large amount of reference image data collected in advance related to various traffic violations, and stores a pre-established AI violation judgment model. In this embodiment, the AI violation judgment model is established, for example, according to the large amount of reference image data through machine learning training.

該諮詢伺服器3連接該判斷伺服器2,並操作來例如但不限於以人機器對話方式,提供有關交通事件的法律諮詢服務。 The consulting server 3 is connected to the judging server 2 and operates, for example but not limited to, to provide legal consulting services related to traffic incidents by man-machine dialogue.

在本實施例中,當該車載系統1在有關於該車輛及另一車輛其中至少一者的一交通事件發生時偵測到與該車輛的行車速度和行車方向其中至少一者的變化相關聯的一特定行駛狀況時,或者當該車載系統1接收到對應於該交通事件的一輸入控制時,該車載系統1回應於該特定行駛狀況或該輸入控制而蒐集該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料以產生 一事件判斷請求,並透過該通訊模組15該將該事件判斷請求發送至該判斷伺服器1。具體而言,該特定行駛狀況可以包含緊急煞車、緊急轉向,或者緊急煞車與轉向。 In this embodiment, when the vehicle-mounted system 1 detects that a traffic event related to at least one of the vehicle and another vehicle occurs, it is associated with a change in at least one of the vehicle's driving speed and driving direction. When a specific driving condition of the vehicle, or when the vehicle-mounted system 1 receives an input control corresponding to the traffic event, the vehicle-mounted system 1 responds to the specific driving condition or the input control and collects the information of the vehicle corresponding to the traffic event Positioning data, time data, driving record data and inertia data to generate An event judgment request, and send the event judgment request to the judgment server 1 through the communication module 15 . Specifically, the specific driving situation may include emergency braking, emergency steering, or emergency braking and steering.

舉例來說,若該交通事件是該車輛與另一車輛的碰撞事件,該車輛的駕駛人往往會在快要碰撞該另一車輛時以緊急地重踩煞車及/或緊急地旋轉方向盤的方式操控該車輛以避開該另一車輛,於是在該車載系統1中,該行車電腦系統14偵測到該車輛的煞車踏板瞬間被踩壓的程度過大及/或該車輛的方向盤轉動的角速度過大,或者該GPS模組12或該慣性感測模組13感測到該車輛在移動時的角速度過大時,此代表由該車載系統1偵測到該車輛所發生的該特定行駛狀況。又或者,若該車輛的駕駛人在目睹有關於另一車輛的一交通事件(例如,疑似不當超車、急煞或闖紅燈)後,該駕駛人可以經由手動操作該車載系統1的一使用者輸入輸出介面,例如,觸控螢幕(圖未示)而產生該輸入控制。換言之,該事件判斷請求可以由該車載系統1在偵測到該特定行駛狀況而自動地產生,或者由該車輛的駕駛人在目睹交通事件後手動觸發而產生。 For example, if the traffic event is a collision event between the vehicle and another vehicle, the driver of the vehicle will often steer by pressing the brakes heavily and/or turning the steering wheel urgently when the other vehicle is about to collide The vehicle avoids the other vehicle, so in the vehicle-mounted system 1, the trip computer system 14 detects that the brake pedal of the vehicle is pressed too much and/or the angular velocity of the steering wheel of the vehicle is too large, Or when the GPS module 12 or the inertial sensing module 13 senses that the angular velocity of the vehicle is too high when it is moving, it means that the vehicle-mounted system 1 has detected the specific driving condition of the vehicle. Alternatively, if the driver of the vehicle witnesses a traffic incident related to another vehicle (for example, suspected improper overtaking, sudden braking or running a red light), the driver can manually operate a user of the vehicle-mounted system 1 The input and output interface, for example, touches the screen (not shown) to generate the input control. In other words, the event determination request can be automatically generated by the vehicle-mounted system 1 upon detecting the specific driving condition, or manually triggered by the driver of the vehicle after witnessing the traffic event.

在本實施例中,該事件判斷請求例如包含該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料。特別是,該行車紀錄資料包括含有該車輛中所有人(即,駕駛人及乘客)的車內影像資訊、含有該另一車輛的車外影像資訊、及該車輛所 處環境的聲音資訊(例如,包含該車輛內、外的收音音訊)。特別一提的是,在該車載系統1偵測到該特定行駛狀況的情況下,該行車紀錄資料可以包含從該車載系統1偵測到該特定行駛狀況之偵測時點之前的第一時間(例如,前5秒)到該偵測時點之後的第二時間(例如,後10秒)的期間內所紀錄到的該車內影像資訊、該車外影像資訊及該聲音資訊;而在該駕駛人目睹該交通事件的情況下,該行車紀錄資料可以包含從該車載系統1接收到該輸入控制之接收時點之前的第三時間(例如,前20秒)到該接收時點之後的第四時間(例如,後5秒)的期間內所紀錄到的該車內影像資訊、該奢外影像資訊及該聲音資訊。 In this embodiment, the event determination request includes, for example, the positioning data, time data, driving record data, and inertial data of the vehicle corresponding to the traffic event. In particular, the driving record data includes in-vehicle image information containing the owners of the vehicle (i.e., the driver and passengers), external image information containing the other vehicle, and The sound information of the environment (for example, including the radio audio inside and outside the vehicle). In particular, when the vehicle-mounted system 1 detects the specific driving condition, the driving record data may include the first time ( For example, the first 5 seconds) to the second time after the detection time point (for example, the last 10 seconds) recorded the image information inside the car, the image information outside the car and the sound information; In the case of witnessing the traffic event, the driving record data may include the third time (for example, before 20 seconds) before the receiving time point when the vehicle-mounted system 1 receives the input control to the fourth time after the receiving time point (for example, , the last 5 seconds) of the in-vehicle image information, the extravagant image information and the audio information recorded during the period.

以下,將參閱圖1及圖2來示例地詳細說明,在該車載系統1發送出對應於該交通事件的該事件判斷請求後,該判斷伺服器2如何執行對應於該交通事件的交通違規的智能輔助判斷及處理程序。該交通違規的智能輔助判斷及處理程序包含以下步驟S21~S27。在本實施例中,該車輛的駕駛人400(見圖1)例如為已和該車輛共同註冊此智能輔助判斷服務的會員。 Hereinafter, referring to Fig. 1 and Fig. 2, it will be described in detail by way of example, after the vehicle-mounted system 1 sends out the event judging request corresponding to the traffic event, how the judging server 2 executes the traffic violation corresponding to the traffic event. Intelligent auxiliary judgment and processing procedures. The intelligent auxiliary judgment and processing program for traffic violations includes the following steps S21-S27. In this embodiment, the driver 400 (see FIG. 1 ) of the vehicle is, for example, a member who has registered with the vehicle for the intelligent assistant judgment service.

當該判斷伺服器2接收到來自該車載系統1的該事件判斷請求(步驟S21)後,在步驟S22中,該判斷伺服器2利用該AI違規判斷模型,對於該車外影像資訊進行影像分析,以判斷該車外影像資訊是否匹配於一交通違規行,於是獲得一對應於該交通事件的判斷 結果。若該判斷伺服器2判斷出該車外影像資訊匹配於一交通違規行為(例如,有關於該交通違規資料庫中儲存的大量參考影像資料的各種不同交通違規行為其中的一種交通違規行為)時,在此情況下,該判斷伺服器2產生的該判斷結果將會指示出與該交通事件匹配的交通違規行為;然後流程將進行步驟S23。相反地,若該判斷伺服器2無法成功地判斷出任何與該車外影像資訊匹配的交通違規行為時(例如,由於該車外影像資訊不清楚或不足以判斷出與其匹配的交通違規行為,或者雖可判斷出一匹配的交通違規行為但對此判斷(為正確)的信心度低於一預定閾值),在此情況下,該判斷伺服器2產生的該判斷結果將會指示出無法成功判斷該交通事件;然後流程將進行步驟S25。 After the judging server 2 receives the event judging request from the vehicle-mounted system 1 (step S21), in step S22, the judging server 2 uses the AI violation judging model to analyze the image information outside the car, To determine whether the image information outside the vehicle matches a traffic violation line, and then obtain a judgment corresponding to the traffic event result. If the judging server 2 judges that the image information outside the vehicle matches a traffic violation (for example, one of various traffic violations related to a large amount of reference image data stored in the traffic violation database), In this case, the judging result generated by the judging server 2 will indicate a traffic violation matching the traffic event; then the process will go to step S23. On the contrary, if the judging server 2 cannot successfully judge any traffic violation matching the image information outside the vehicle (for example, because the image information outside the vehicle is unclear or insufficient to determine the matching traffic violation, or although A matching traffic violation can be judged but the degree of confidence in this judgment (being correct) is lower than a predetermined threshold), in this case, the judging result generated by the judging server 2 will indicate that the judgment cannot be successfully judged. traffic event; then the process will proceed to step S25.

在步驟S23中,該判斷伺服器2根據該車外影像資訊、該時間資料和該定位資料產生一對應於該(判斷的)交通違規行為的檢舉報告。具體而言,該檢舉報告例如具有一特定形式或格式。此外,在步驟S23中,該判斷伺服器2還將該車外影像資訊作為對應於該(判斷的)交通違規行為的參考影像資料儲存於該交通違規資料庫21。 In step S23, the judging server 2 generates a report corresponding to the (judged) traffic violation according to the outside image information, the time data and the location data. Specifically, the reporting report has a specific form or format, for example. In addition, in step S23 , the judging server 2 also stores the image information outside the vehicle in the traffic violation database 21 as reference image data corresponding to the (judged) traffic violation behavior.

接著,在步驟S24中,該判斷伺服器2將一包含該檢舉報告和一檢舉平台的連結網址的事件判斷回覆傳送至一電子終端300。具體而言,該電子終端300例如可以是該駕駛人400所使用的 個人電腦或智慧型手機;於是,該電子終端300在接收到該事件判斷回覆後,經由人為操作,將檢舉人的身分識別資料填入該檢舉報告並透過該連結網址將該檢舉報告傳送至該檢舉平台,藉此完成該交通違規行為的檢舉程序。舉例來說,在該電子終端300為智慧型手機的情況下,該電子終端300在接收到該事件判斷回覆時,可經由一預先安裝的專屬應用程式的執行,推播指示出例如「已接收到該事件判斷回覆」的訊息,以提醒該駕駛人400可透過該專屬應用程式所提供的操作介面繼續完成該交通違規行為的檢舉程序。 Next, in step S24 , the judging server 2 sends an event judging reply including the reporting report and a link URL of a reporting platform to an electronic terminal 300 . Specifically, the electronic terminal 300 may be used by the driver 400, for example personal computer or smart phone; therefore, after receiving the event judgment reply, the electronic terminal 300 manually fills in the reporting report with the informant’s identification information and transmits the reporting report to the Reporting platform, in order to complete the reporting procedure of the traffic violation. For example, in the case that the electronic terminal 300 is a smart phone, when the electronic terminal 300 receives the event judgment reply, it can push and broadcast instructions such as "received To remind the driver 400 that he can continue to complete the reporting procedure of the traffic violation through the operation interface provided by the exclusive application program.

在該判斷伺服器2無法成功判斷該交通事件後,該判斷伺服器2根據該聲音資訊、該車內影像資訊和該慣性資料,判斷該交通事件是否出現有高於一預定金額的財損或人損。具體而言,在步驟S25中,該判斷伺服器2將執行以下操作。該判斷伺服器2利用影像辨識分析該車內影像資訊,以確認該車內影像資訊是否出現有例如人員受傷或流血的特徵影像。另一方面,該判斷伺服器2根據該聲音資訊和該慣性資料推估該車輛是否出現有財損。舉例來說,若該判斷伺服器2確認該聲音資訊含有碰撞的聲音特徵,並同時確認該慣性資料指示出在(含行進方向的)多軸方向上的(異常)加速度,在此情況下,該判斷伺服器2將會判斷出該交通事件出現有該車輛的碰撞,亦即財損。然後,該判斷伺服器2可以根據該慣性資料指示出在多軸方向上的加速度的大小推估該車輛的撞擊點和撞 擊力大小。更具體地,該判斷伺服器2可根據推估出的撞擊點確定該車輛受到撞擊的車體部位及/或零件,並且可根據加速度的大小且利用例如含有加速度和撞擊力的關聯性資料的查找表或資料庫而推估出該車輛的撞擊力大小,於是透過確定該車輛受撞擊的部位及/或零件和撞擊力大小可以綜合估測出該車輛的損害程度與所需維修金額,亦即在財損上的金額。於是,當該判斷伺服器2確認出該車內影像資訊出現有該特徵影像時,或者當該判斷伺服器2確認出估測的財損金額高於該預定金額時,流程將進行至步驟S26,否則,流程將進行至步驟S27。 After the judging server 2 fails to judge the traffic event, the judging server 2 judges whether the traffic event has property damage higher than a predetermined amount or Human loss. Specifically, in step S25, the judging server 2 will perform the following operations. The judging server 2 utilizes image recognition to analyze the in-vehicle image information to confirm whether the in-vehicle image information has characteristic images such as injuries or bleeding. On the other hand, the judging server 2 estimates whether the vehicle has property damage according to the sound information and the inertial data. For example, if the judging server 2 confirms that the sound information contains the sound feature of a collision, and at the same time confirms that the inertia data indicates (abnormal) acceleration in multi-axis directions (including the direction of travel), in this case, The judging server 2 will judge that there is a collision of the vehicle in the traffic event, that is, a property loss. Then, the judging server 2 can estimate the impact point and impact point of the vehicle according to the magnitude of the acceleration in the multi-axis direction indicated by the inertial data. The size of the impact. More specifically, the judging server 2 can determine the body parts and/or parts of the vehicle hit by the impact according to the estimated impact point, and can use, for example, the correlation data containing acceleration and impact force according to the magnitude of the acceleration. The impact force of the vehicle can be estimated by looking up the table or database, so by determining the impacted parts and/or parts of the vehicle and the impact force, the damage degree of the vehicle and the amount of repairs required can be comprehensively estimated. That is, the amount in the financial loss. Therefore, when the judging server 2 confirms that the characteristic image appears in the in-vehicle image information, or when the judging server 2 confirms that the estimated amount of property loss is higher than the predetermined amount, the process will proceed to step S26 , otherwise, the process will proceed to step S27.

在步驟S26中,該判斷伺服器2將包含該行車紀錄資料和該車輛的駕駛人的聯絡資料的事件諮詢資料傳送至該諮詢伺服器3,以供該諮詢伺服器3例如透過人機對話對於該駕駛人400進一步提供遠端諮詢服務。舉例來說,該電子終端300例如為該駕駛人所使用的智慧型手機且該聯絡資料為該智慧型手機的手機號碼,於是該諮詢伺服器3可經由手機號碼的撥接並結合預先安裝於該電子終端300的專屬應用程式的執行來對該駕駛人400提供語音諮詢服務。 In step S26, the judgment server 2 sends the event consultation data including the driving record data and the contact information of the driver of the vehicle to the consultation server 3, for the consultation server 3, for example, through man-machine dialogue. The driver 400 further provides remote consulting services. For example, the electronic terminal 300 is the smart phone used by the driver and the contact information is the mobile phone number of the smart phone, so the consulting server 3 can be dialed through the mobile phone number and combined with the pre-installed The exclusive application program of the electronic terminal 300 is executed to provide voice consultation service to the driver 400 .

值得注意的是,在其他實施例中,當該判斷伺服器2確認出該車內影像資訊出現有該特徵影像時,或者當該判斷伺服器2確認出估測的財損金額高於該預定金額時,該判斷伺服器2可先將是 否需要諮詢服務的詢問通知傳送至該電子終端300,之後該判斷伺服器2在接收到來自該電子終端300的確認(需要諮詢服務)回覆後才執行步驟S26。 It should be noted that, in other embodiments, when the judging server 2 confirms that the in-vehicle image information has the characteristic image, or when the judging server 2 confirms that the estimated amount of property loss is higher than the predetermined amount, the judging server 2 can first set the An inquiry notification of whether consultation service is required is sent to the electronic terminal 300 , and then the judgment server 2 executes step S26 after receiving a confirmation (consultation service is required) reply from the electronic terminal 300 .

當該判斷伺服器2確認該車內影像資訊不含有該特徵影像(即,判斷出該交通事件未出現有人損),並且確認該聲音資料不含有碰撞聲音(即,判斷出該交通事件未出現因碰撞的財損)或者確認出在發生有碰撞的情況下財損上的金額不高於該預定金額時,在步驟S27中,該判斷伺服器2可以將例如事件判斷失敗但無人損及財損,或者事件判斷失敗但無人損且財損金額未高於該預定金額的相關資訊通知該車載系統1或該電子終端300。 When the judging server 2 confirms that the in-vehicle image information does not contain the feature image (that is, it is judged that there is no human damage in the traffic event), and it is confirmed that the audio data does not contain collision sound (that is, it is judged that the traffic event does not occur property damage due to collision) or when it is confirmed that the amount of property damage in the case of a collision is not higher than the predetermined amount, in step S27, the judging server 2 can judge the event as failure but no one has damaged property. Notify the on-vehicle system 1 or the electronic terminal 300 of related information that the event judgment fails but no one is damaged and the amount of property loss is not higher than the predetermined amount.

綜上所述,該判斷伺服器2先利用該AI違規判斷模型分析該車外影像資訊以進行對於該交通事件是否匹配於交通違規行為的初階判斷,並在成功判斷出匹配的交通違規行為時,自動地產生檢舉報告並提供給駕駛人,以利檢舉人提出違規舉發;而在初階判斷失敗的情況下,進一步確認出該交通事件出現有高於預定金額的財損或人損時,透過該諮詢伺服器3來提供駕駛人在交通或法律上進階的諮詢服務,藉此,能以相對方便且正確的方式檢舉交通違規進而有助於提升整體的交通安全和公共安全,並且能以花費相對最少的方式獲得交通或法律上的諮詢資訊以兼顧駕駛人自身的權益。因此,本發明交通違規的智能輔助判斷及處理系統100確實能 達成本發明的目的。 To sum up, the judging server 2 first uses the AI violation judging model to analyze the image information outside the car to make a preliminary judgment on whether the traffic event matches a traffic violation, and when the matching traffic violation is successfully judged , automatically generate a report and provide it to the driver, so that the reporter can report violations; and in the case of a preliminary judgment failure, when it is further confirmed that there is a property loss or personal loss higher than the predetermined amount in the traffic incident, Through the consulting server 3, the driver can be provided with advanced consulting services in terms of traffic or law, so that traffic violations can be reported in a relatively convenient and correct way, thereby helping to improve overall traffic safety and public safety, and can Obtain traffic or legal consulting information in a relatively minimal way to take into account the driver's own rights and interests. Therefore, the intelligent auxiliary judgment and processing system 100 of traffic violations of the present invention can really Reach the purpose of the present invention.

惟以上所述者,僅為本發明的實施例而已,當不能以此限定本發明實施的範圍,凡是依本發明申請專利範圍及專利說明書內容所作的簡單的等效變化與修飾,皆仍屬本發明專利涵蓋的範圍內。 But the above-mentioned ones are only embodiments of the present invention, and should not limit the scope of the present invention. All simple equivalent changes and modifications made according to the patent scope of the present invention and the content of the patent specification are still within the scope of the present invention. Within the scope covered by the patent of the present invention.

100:交通違規的智能輔助判斷及處理系統 100: Intelligent auxiliary judgment and processing system for traffic violations

1:車載系統 1: Vehicle system

11:行車紀錄模組 11: Driving record module

12:GPS模組 12:GPS module

13:慣性感測模組 13: Inertial sensing module

14:行車電腦系統 14: Trip computer system

15:通訊模組 15: Communication module

2:判斷伺服器 2: Determine the server

21:影像資料庫 21: Image database

200:通訊網路 200: communication network

300:電子終端 300: electronic terminal

400:駕駛人 400: driver

Claims (7)

一種交通違規的智能輔助判斷及處理方法,利用一判斷伺服器來執行,並包含以下步驟:(A)接收有關於一車輛及另一車輛其中至少一者的一交通事件的一事件判斷請求,該事件判斷請求包含該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料,該行車紀錄資料包括含有該車輛中的駕駛人及乘客的車內影像資訊、含有該另一車輛的車外影像資訊、及該車輛所處環境的聲音資訊;(B)利用一預先訓練的AI違規判斷模型,分析該車外影像資訊,以獲得一對應於該交通事件的判斷結果,該判斷結果指示出與該交通事件匹配的交通違規行為,或無法成功判斷該交通事件;(C)當該判斷結果指示出與該交通事件匹配的該交通違規行為時,根據該車外影像資訊、該時間資料和該定位資料產生一對應於該交通違規行為的檢舉報告,並將一包含該檢舉報告和一檢舉平台的連結網址的事件判斷回覆傳送至一電子終端,以供該電子終端透過該連結網址將該檢舉報告傳送至該檢舉平台;及(D)當該判斷結果指示出無法成功判斷該交通事件時,根據該聲音資訊、該車內影像資訊和該慣性資料,判斷該交通事件是否發生有高於一預定金額的財損或人損,並在判斷出該交通事件發生有高於該預定金額的財損或者在判斷出該交通事件發生有人損時,將包含該行 車紀錄資料和該車輛的駕駛人的聯絡資料的的事件諮詢資料傳送至一諮詢伺服器,以供該諮詢伺服器對於該駕駛人進一步提供有關該交通事件的諮詢服務。 An intelligent auxiliary judging and processing method for traffic violations is implemented by a judging server, and includes the following steps: (A) receiving an event judging request related to a traffic event of at least one of a vehicle and another vehicle, The event judgment request includes the positioning data, time data, driving record data and inertial data of the vehicle corresponding to the traffic event. The driving record data includes in-car image information containing the driver and passengers in the vehicle, including the other The image information outside the vehicle and the sound information of the environment where the vehicle is located; (B) using a pre-trained AI violation judgment model to analyze the image information outside the vehicle to obtain a judgment result corresponding to the traffic incident, the judgment result Indicate the traffic violation that matches the traffic event, or fail to successfully judge the traffic event; (C) When the judgment result indicates the traffic violation that matches the traffic event, according to the image information outside the vehicle, the time data Generate a reporting report corresponding to the traffic violation with the positioning data, and send an event judgment reply including the reporting report and a link URL of a reporting platform to an electronic terminal, so that the electronic terminal can use the link URL to The reporting report is sent to the reporting platform; and (D) when the judgment result indicates that the traffic incident cannot be successfully judged, according to the sound information, the in-vehicle image information and the inertial data, determine whether the traffic incident has occurred with high A predetermined amount of property damage or personal loss, and when it is judged that the traffic incident has a property loss higher than the predetermined amount or when it is judged that the traffic incident has caused a personal loss, the line will be included The event consultation information of the vehicle record data and the contact information of the driver of the vehicle is sent to a consultation server, so that the consultation server can further provide consultation services about the traffic incident to the driver. 如請求項1所述的交通違規的智能輔助判斷及處理方法,還利用一安裝於該車輛且能與該判斷伺服器通訊連接的車載系統來執行,並在步驟(A)之前還包含以下步驟:(E)當該車載系統在該交通事件發生時偵測到與該車輛的行車速度和行車方向其中至少一者的變化相關聯的一特定行駛狀況時,或者當該車載系統接收到對應於該交通事件的一輸入控制時,該車載系統回應於該特定行駛狀況或該輸入控制而蒐集該定位資料、該時間資料、該行車紀錄資料及該慣性資料以產生該事件判斷請求,並將該事件判斷請求發送至該判斷伺服器。 The intelligent auxiliary judging and processing method for traffic violations as described in claim 1 is also executed by using an on-board system installed in the vehicle and capable of communicating with the judging server, and also includes the following steps before step (A) : (E) When the vehicle-mounted system detects a specific driving condition associated with a change in at least one of the vehicle's driving speed and driving direction when the traffic event occurs, or when the vehicle-mounted system receives a corresponding During an input control of the traffic event, the vehicle-mounted system collects the positioning data, the time data, the driving record data and the inertial data in response to the specific driving situation or the input control to generate the event judgment request, and sends the The event judgment request is sent to the judgment server. 如請求項2所述的交通違規的智能輔助判斷及處理方法,其中,在步驟(E)中,該特定行駛狀況包含緊急煞車和緊急轉向其中至少一者。 The intelligent assistance judging and processing method for traffic violations according to Claim 2, wherein, in step (E), the specific driving condition includes at least one of emergency braking and emergency steering. 一種交通違規的智能輔助判斷及處理系統,包含:一判斷伺服器,配置有一含有與各種交通違規行為有關的大量參考影像資料的交通違規資料庫,並儲存有一預先根據該大量參考影像資料經由機器學習的訓練方式而建立的AI違規判斷模型;及一諮詢伺服器,連接該判斷伺服器,並操作來提供有關交通事件在交或法律上的諮詢服務;其中,該判斷伺服器接收有關於一車輛及另一車輛 其中至少一者的一交通事件的一事件判斷請求,該事件判斷請求包含該車輛對應於該交通事件的定位資料、時間資料、行車紀錄資料及慣性資料,該行車紀錄資料包括含有該車輛中的駕駛人及乘客的車內影像資訊、含有該另一車輛的車外影像資訊、及該車輛所處環境的聲音資訊;其中,該判斷伺服器利用該AI違規判斷模型,分析該車外影像資訊,以獲得一對應於該交通事件的判斷結果,該判斷結果指示出與該交通事件匹配的交通違規行為,或無法成功判斷該交通事件;其中,當該判斷結果指示出與該交通事件匹配的該交通違規行為時,該判斷伺服器根據該車外影像資訊、該時間資料和該定位資料產生一對應於該交通違規行為的檢舉報告,並將一包含該檢舉報告和一檢舉平台的連結網址的事件判斷回覆傳送至一電子終端,以供該電子終端透過該連結網址將該檢舉報告傳送至該檢舉平台;及其中,當該判斷結果指示出無法成功判斷該交通事件時,該判斷伺服器根據該聲音資訊、該車內影像資訊和該慣性資料,判斷該交通事件是否發生有高於一預定金額的財損或人損,並在判斷出該交通事件發生有高於該預定金額的財損或者在判斷出該交通事件發生有人損時,將包含該行車紀錄資料和該車輛的駕駛人的聯絡資料的的事件諮詢資料傳送至該諮詢伺服器,以供該諮詢伺服器對於該駕駛人進一步提供有關該交通事件的諮詢 服務。 An intelligent auxiliary judging and processing system for traffic violations, comprising: a judging server configured with a traffic violation database containing a large amount of reference image data related to various traffic violations, and storing a device based on the large amount of reference image data in advance An AI violation judgment model established by learning training methods; and a consulting server, connected to the judgment server, and operated to provide traffic or legal consulting services related to traffic incidents; wherein, the judgment server receives information about a vehicle and another vehicle An event determination request for a traffic event of at least one of them, the event determination request includes the positioning data, time data, driving record data and inertial data of the vehicle corresponding to the traffic event, the driving record data includes The in-vehicle image information of the driver and passengers, the external image information of the other vehicle, and the sound information of the vehicle's environment; wherein, the judgment server uses the AI violation judgment model to analyze the external image information to Obtaining a judgment result corresponding to the traffic event, the judgment result indicating a traffic violation matching the traffic event, or failing to judge the traffic event successfully; wherein, when the judgment result indicates the traffic violation matching the traffic event In the event of a violation, the judging server generates a reporting report corresponding to the traffic violation based on the image information outside the vehicle, the time data and the positioning data, and judges an event including the reporting report and a link URL of a reporting platform The reply is sent to an electronic terminal for the electronic terminal to transmit the reporting report to the reporting platform through the linked website; and wherein, when the judgment result indicates that the traffic incident cannot be successfully judged, the judging server Information, the image information in the car and the inertial data, to determine whether the traffic incident has property damage or personal damage higher than a predetermined amount, and when it is judged that the traffic incident has a property loss higher than the predetermined amount or When it is judged that the traffic incident has caused human damage, the event consultation information including the driving record data and the driver's contact information of the vehicle is sent to the consultation server, so that the consultation server can further provide relevant information to the driver. Inquiries about the traffic incident Serve. 如請求項4所述的交通違規的智能輔助判斷及處理系統,還包含:一車載系統,適於安裝於該車輛,通訊連接該判斷伺服器,並操作來提供該車輛啟動後的行車紀錄資料、行駛軌跡、和與慣性相關的行車控制資訊;其中,當該車載系統在該交通事件發生時偵測到與該車輛的行車速度和行車方向其中至少一者的變化相關聯的一特定行駛狀況時,或者當該車載系統接收到對應於該交通事件的一輸入控制時,該車載系統回應於該特定行駛狀況或該輸入控制而蒐集該定位資料、該時間資料、該行車紀錄資料及該慣性資料以產生該事件判斷請求,並將該事件判斷請求發送至該判斷伺服器。 The intelligent auxiliary judging and processing system for traffic violations as described in claim 4, further comprising: a vehicle-mounted system, adapted to be installed on the vehicle, connected to the judging server through communication, and operated to provide driving record data after the vehicle is started , driving trajectory, and driving control information related to inertia; wherein, when the vehicle-mounted system detects a specific driving condition associated with a change in at least one of the vehicle's driving speed and driving direction when the traffic event occurs , or when the on-board system receives an input control corresponding to the traffic event, the on-board system collects the positioning data, the time data, the driving record data and the inertia in response to the specific driving situation or the input control data to generate the event judgment request, and send the event judgment request to the judgment server. 如請求項5所述的交通違規的智能輔助判斷及處理系統,其中,該特定行駛狀況包含緊急煞車和緊急轉向其中至少一者。 The intelligent auxiliary judging and processing system for traffic violations according to claim 5, wherein the specific driving condition includes at least one of emergency braking and emergency steering. 如請求項4所述的交通違規的智能輔助判斷及處理系統,其中,當該判斷結果指示出與該交通事件匹配的該交通違規行為時,該判斷伺服器將該車外影像資訊作為對應於該交通違規行為的參考影像資料儲存於該交通違規資料庫。 The intelligent auxiliary judging and processing system for traffic violations as described in claim 4, wherein when the judging result indicates the traffic violation matching the traffic event, the judging server regards the image information outside the vehicle as corresponding to the Reference image data of traffic violations are stored in the traffic violation database.
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TWI451283B (en) * 2011-09-30 2014-09-01 Quanta Comp Inc Accident information aggregation and management systems and methods for accident information aggregation and management thereof
CN110689460A (en) * 2019-10-09 2020-01-14 腾讯科技(深圳)有限公司 Traffic accident data processing method, device, equipment and medium based on block chain
TWI740372B (en) * 2020-02-11 2021-09-21 國立臺北科技大學 Intelligent helmet for vehicle

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US8171032B2 (en) * 1994-11-29 2012-05-01 Pinpoint, Incorporated Providing customized electronic information
TWI451283B (en) * 2011-09-30 2014-09-01 Quanta Comp Inc Accident information aggregation and management systems and methods for accident information aggregation and management thereof
CN110689460A (en) * 2019-10-09 2020-01-14 腾讯科技(深圳)有限公司 Traffic accident data processing method, device, equipment and medium based on block chain
TWI740372B (en) * 2020-02-11 2021-09-21 國立臺北科技大學 Intelligent helmet for vehicle

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