TWI664101B - System and method for collaborative sighting based on Internet of Vehicles - Google Patents
System and method for collaborative sighting based on Internet of Vehicles Download PDFInfo
- Publication number
- TWI664101B TWI664101B TW106123923A TW106123923A TWI664101B TW I664101 B TWI664101 B TW I664101B TW 106123923 A TW106123923 A TW 106123923A TW 106123923 A TW106123923 A TW 106123923A TW I664101 B TWI664101 B TW I664101B
- Authority
- TW
- Taiwan
- Prior art keywords
- image
- module
- accident
- information
- vehicle
- Prior art date
Links
Landscapes
- Traffic Control Systems (AREA)
- Closed-Circuit Television Systems (AREA)
Abstract
本發明係揭露一種基於車聯網協同目擊的系統及方法，當車輛於行進間遭遇事故時，該事故車輛除了擷取出事故當下之圖像、前後時間區間之影像以及時間證明訊息；並利用車聯網路將時間戳記及地點訊息傳輸至此車聯網路下之鄰近車輛，鄰近的車輛再依據其時間戳記擷取該時間戳記之圖像、前後時間區間之影像及時間證明訊息，並將圖像以無線傳輸之方式傳送至事故車輛上，如此事故車輛可獲得事故發生時各種角度之圖像及影像，提升後續釐清事故肇事責任歸屬之證據力，並節省取得目擊證據的成本。 The invention discloses a system and method based on collaborative sighting of a connected vehicle. When a vehicle encounters an accident while traveling, the accident vehicle not only captures the current image of the accident, the images of the time zone before and after, and time certification information; and uses the connected vehicle. The timestamp and location information are transmitted to the neighboring vehicles under the connected vehicle road. The neighboring vehicles then capture the timestamp image, the time before and after time intervals, and the time certification information according to their timestamps. The transmission method is transmitted to the accident vehicle. In this way, the accident vehicle can obtain images and images from various angles at the time of the accident, which enhances the subsequent power of clarifying the attribution of responsibility for the accident and saves the cost of obtaining witness evidence.
Description
本發明屬於一種基於車聯網協同目擊的系統及方法，尤指一種藉由該系統中無線通訊模組與鄰近車輛建立車聯網路，並隨著鄰近車輛變換而變動此車聯網拓樸。 The invention belongs to a system and method based on collaborative vision of a connected vehicle, and more particularly, to establish a connected vehicle road with a neighboring vehicle through a wireless communication module in the system, and changes the connected vehicle topology as the neighboring vehicle changes.
過往在道路上當車輛於行車時發生事故時，除了倚賴路邊的監視影像或事故當事人行車紀錄影像外，只有求助於其他車輛的行車紀錄器，但往往找尋不易，甚至沒有其他曾經過該路段得駕駛者可以提供，警方僅能倚賴路邊的監視影像逐步詢問曾經過該路段的車輛駕駛，但相當耗費時間跟金錢，造成釐清事故責任的困難或是法律責任上的誤判。 In the past, when an accident occurred while a vehicle was driving on the road, in addition to relying on the roadside surveillance images or the driving record images of the parties involved in the accident, only the vehicle's driving recorder was turned to. Drivers can provide that the police can only rely on roadside surveillance images to gradually inquire about the driving of vehicles that have passed that section of the road, but it is time-consuming and expensive, which makes it difficult to clarify the liability of the accident or misjudgment of legal liability.
本案發明人鑑於上述習用方式所衍生的各項缺點，乃亟思加以改良創新，並經多年苦心孤詣潛心研究後，終於成功研發完成本基於車聯網協同目擊的系統及方法。 In view of the various shortcomings derived from the above-mentioned conventional methods, the inventor of this case has been eager to improve and innovate. After years of painstaking and meticulous research, he finally successfully developed the system and method based on the collaborative sighting of the connected car.
為達上述目的，本發明提出提供一種基於車聯網協同目擊的系統及方法，當車輛於行進時，會藉由該系統中無線通訊模組與鄰近車輛建立車聯網路，並隨著鄰近車輛變換而變動此車聯網拓樸。當車輛遭遇事故時，該事故車輛透過影 像擷取模組取得事故當下之圖像及特定時間區間之影像資訊，再透過影像戳記模組取得時間證明訊息並將圖像、影像資訊以及時間證明訊息儲存至佐證資料處理模組；並在同時間利用車聯網路，將透過定位軌跡模組取得的事故發生當下之時間戳記及地點訊息廣播至此架構下之其他車輛之系統，其他車輛之系統收到事故廣播訊息後，透過影像擷取模組取得該事故時間戳記之圖像及該時間戳記前後時間區間之影像，並將其儲存至佐證資料處理模組，再利用影像戳記模組取得影像時間證明訊息並儲存至佐證資料處理模組，最後利用佐證資料處理模組將圖像調整為利於傳送之大小，並藉由車聯網路傳輸至事故車輛之系統中之佐證資料處理模組並儲存，以供後續釐清事故肇事責任歸屬之利用。 In order to achieve the above object, the present invention proposes to provide a system and method based on coordinated sighting of a connected vehicle. When a vehicle is traveling, a wireless network module in the system is used to establish a connected vehicle road with a neighboring vehicle, and changes with the neighboring vehicle. And change this car networking topology. When the vehicle encounters an accident, the accident vehicle obtains the current image of the accident and the image information of the specific time interval through the image capture module, and then obtains the time certification information and the image, image information, and time certification information through the image stamping module. Save to supporting data processing module; and use the Internet of Vehicles at the same time to broadcast the current timestamp and location information of the accident obtained through the positioning trajectory module to the systems of other vehicles under this structure, and the systems of other vehicles receive After the accident broadcast message, the image of the accident time stamp and the time interval before and after the time stamp are obtained through the image capture module, and stored in the corroboration data processing module, and then the image time stamp is used to obtain the image time certificate. The information is stored in the supporting data processing module. Finally, the supporting data processing module is used to adjust the image to a size convenient for transmission, and it is transmitted to the supporting vehicle data processing module in the system of the accident vehicle through the connected network. For subsequent clarification of the attribution of responsibility for the accident.
一種基於車聯網協同目擊的系統，其包括一無線通訊模組，是與鄰近車輛建立車聯網路及影像傳輸；一定位軌跡模組，是透過衛星定位裝置取得衛星定位資訊及定位軌跡資訊並將資訊儲存至一佐證資料處理模組；一影像擷取模組，是以取得事故及特定時間區間之圖像及影像並將圖像及影像儲存至佐證資料處理模組；一影像戳記模組，是以取得時間證明訊息；佐證資料處理模組，是以儲存供後續佐證資料，且與其他車輛進行資料傳輸。 A system based on coordinated sighting of a car network includes a wireless communication module that establishes a car network road and image transmission with neighboring vehicles; a positioning trajectory module that obtains satellite positioning information and positioning trajectory information through a satellite positioning device and Information is stored in a corroborative data processing module; an image capture module is to obtain images and images of accidents and specific time intervals and store the images and images in corroborative data processing module; an image stamping module, It is to obtain the time proof information; the corroboration data processing module is to store the data for subsequent corroboration and perform data transmission with other vehicles.
其中影像擷取模組，是利用行動影像紀錄裝置取得原始影像，並擷取出事故當下之圖像及特定時間區間之影像並將其儲存至佐證資料處理模組，其中影像戳記模組，是將影像擷取模組取得的圖像及影像資訊以及事故發生的時間點或時間區間之相關時間資訊，透過第三方公正單位提供的存證服務取得時間證明訊息並儲存至佐證資料處理模組。其中 後續佐證資料，是包括儲存衛星定位資訊及定位軌跡資訊、圖像及影像與時間證明訊息。其資料傳輸，是將圖像調整為利於傳送之大小並透過無線通訊模組與其他車輛進行傳輸。 Among them, the image capture module is to obtain the original image using a mobile image recording device, and to extract the current image of the accident and the image of a specific time interval and store it in the corroboration data processing module. Among them, the image stamping module is to The image and image information obtained by the image capture module and the relevant time information of the time point or time interval of the accident are obtained through the certificate storage service provided by a third-party impartial unit and the time certification information is stored in the supporting data processing module. The follow-up corroboration data includes storage of satellite positioning information and positioning trajectory information, images, images and time certification information. The data transmission is to adjust the image to a size convenient for transmission and transmit it to other vehicles through the wireless communication module.
一種基於車聯網協同目擊的方法，其包括：步驟一、當車輛於行進間，車輛與鄰近車輛相互形成車聯網路；步驟二、當車輛於遭遇事故時，該事故車輛上之系統透過影像擷取模組取得圖像及影像資訊，並且透過影像戳記模組取得時間證明訊息後將圖像、影像資訊及時間證明訊息儲存至佐證資料處理模組；步驟三、該事故車輛利用車聯網路將透過定位軌跡模組取得事故發生當下之時間戳記及衛星定位資訊廣播至此車聯網路下之其他車輛之系統；步驟四、其他車輛之系統在收到事故車輛之系統所傳遞之訊息後，藉由影像擷取模組擷取該事故時間戳記之圖像及該時間戳記前後時間區間之影像，並將其儲存至佐證資料處理模組；步驟五、其他車輛之系統透過影像戳記模組取得影像時間證明訊息並儲存至佐證資料處理模組；以及步驟六、利用其他車輛系統之佐證資料處理模組將圖像調整為利於傳送之大小並藉由車聯網路傳輸至事故車輛之系統中之佐證資料處理模組並儲存。 A method for collaborative sighting based on the Internet of Vehicles includes the following steps: when the vehicle is traveling, the vehicle and adjacent vehicles form a connected vehicle road with each other; and when the vehicle encounters an accident, the system on the accident vehicle captures images Take the module to obtain the image and image information, and save the image, image information and time certification information to the corroboration data processing module after obtaining the time certification information through the image stamping module; step three, the accident vehicle uses the Internet of Vehicles to Obtain the current time stamp and satellite positioning information of the accident through the positioning trajectory module to other vehicles' systems under the connected vehicle road; Step 4. After receiving the information transmitted by the accidental vehicle's system, the other vehicle's system will use the The image capture module captures the image of the accident timestamp and the time interval before and after the timestamp, and stores them to the corroboration data processing module; Step 5. Other vehicle systems obtain the image time through the image stamp module The certification information is stored in the corroboration data processing module; and step 6, using other vehicle systems Card data processing module adjusts the image size is conducive to the transmission of road transport and by car networking system to a vehicle accident in the evidence of the data processing module and storage.
綜上所述，其中步驟一之車聯網路，是為利用無線通訊模組建立，且並隨著鄰近車輛變換而變動此車聯網拓樸，其中步驟二之影像擷取模組，是利用行動影像紀錄裝置取得原始影像，再透過影像擷取模組擷取出事故當下之圖像及特 定時間區間之影像，將關鍵圖像及影像透過影像戳記模組進行存證，並獨立儲存於佐證資料處理模組中，其中步驟四之影像擷取模組，是利用行動影像紀錄裝置取得原始影像，再透過影像擷取模組擷取出事故時間戳記當下之圖像及時間戳記前後時間區間之影像，其中步驟五之影像戳記模組，是將影像擷取模組取得的圖像及影像資訊以及事故發生的時間點或時間區間之相關時間資訊，透過第三方公正單位提供的存證服務取得時間證明訊息並儲存至佐證資料處理模組，其中步驟六之佐證資料處理模組，是將事故的圖像調整成適合傳輸的大小，並以即時傳輸。 To sum up, one of the car networking roads in step one is to use the wireless communication module to build and change this car networking topology as the neighboring vehicles change. The image capture module in step two is to use mobile The image recording device obtains the original image, and then extracts the current image of the accident and the image of the specific time interval through the image capture module, stores the key images and images through the image stamping module, and stores them independently in the supporting data processing Among the modules, the image capture module in step 4 is to obtain the original image by using a mobile image recording device, and then use the image capture module to capture the current image of the time stamp and the time interval before and after the time stamp. The image stamping module in step 5 is to obtain the time certification information through the certificate storage service provided by a third-party impartial unit, using the image and image information obtained by the image capture module and the relevant time information of the time or period of the accident. And store it in the supporting data processing module. The supporting data processing module in step 6 adjusts the image of the accident to Combine the size of the transfer and transfer instantly.
本發明所提供一種基於車聯網協同目擊的系統及方法，與其他習用技術相互比較時，更具備下列優點： Compared with other conventional technologies, the system and method provided by the present invention for collaborative sighting based on the Internet of Vehicles have the following advantages:
1.本發明讓事故當事人在需要舉證時，能夠快速的取得更多事故發生時不同角度的圖像及影像，以減少調閱相關佐證時需耗費的時間，提升事故當事人舉證之效率。 1. The present invention allows the parties involved in the accident to quickly obtain more images and images from different angles at the time of the accident when they need to provide evidence, so as to reduce the time required for reviewing relevant supporting evidence and improve the efficiency of the parties involved in the process of proof.
2.本發明讓事故發生後，除了倚賴路邊的監視影像外及事故當事人行車紀錄影像外，提供了其他周遭車輛之圖像及影像，能提升釐清事故肇事責任歸屬之證據力。 2. According to the present invention, in addition to the surveillance images on the side of the road and the driving record images of the parties to the accident after the accident, the images and images of other surrounding vehicles are provided, which can improve the evidence power to clarify the responsibility of the accident.
3.本發明提供事故影像時間證明訊息，避免該影像遭到竄改或偽造，提高證據的證據能力。 3. The invention provides the time proof information of the accident image to prevent the image from being tampered or forged, and improve the evidence ability of the evidence.
110‧‧‧無線通訊模組 110‧‧‧Wireless communication module
120‧‧‧定位軌跡模組 120‧‧‧ Positioning Track Module
130‧‧‧影像擷取模組 130‧‧‧Image capture module
140‧‧‧影像戳記模組 140‧‧‧Image Stamping Module
150‧‧‧佐證資料處理模組 150‧‧‧ Supporting data processing module
S210~S260‧‧‧流程 S210 ~ S260‧‧‧Process
請參閱有關本發明之詳細說明及其附圖，將可進一步瞭解本發明之技術內容及其目的功效；有關附圖為： 圖1為本發明基於車聯網協同目擊的系統及方法之架構圖；圖2為本發明基於車聯網協同目擊的系統及方法之流程圖。 Please refer to the detailed description of the present invention and the accompanying drawings for further understanding of the technical content of the present invention and its purpose and effectiveness. The related drawings are as follows: FIG. 1 is a structural diagram of a system and method based on collaborative vision of the Internet of Vehicles of the present invention; FIG. 2 is a flowchart of a system and method for collaborative sighting based on the Internet of Vehicles of the present invention.
為了使本發明的目的、技術方案及優點更加清楚明白，下面結合附圖及實施例，對本發明進行進一步詳細說明。應當理解，此處所描述的具體實施例僅用以解釋本發明，但並不用於限定本發明。 In order to make the objectives, technical solutions, and advantages of the present invention clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not intended to limit the present invention.
以下，結合附圖對本發明進一步說明：請參閱圖1所示，為一種基於車聯網協同目擊的系統及方法之架構圖，一種基於車聯網協同目擊的系統，其包括一無線通訊模組110，是與鄰近車輛建立車聯網路及影像傳輸；一定位軌跡模組120，是透過衛星定位裝置取得衛星定位資訊及定位軌跡資訊並將資訊儲存至一佐證資料處理模組150；一影像擷取模組130，是以取得事故及特定時間區間之圖像及影像，並將圖像及影像儲存至佐證資料處理模組150；一影像戳記模組140，是以取得時間證明訊息；佐證資料處理模組150，是以儲存供後續佐證資料，且與其他車輛進行資料傳輸。 Hereinafter, the present invention will be further described with reference to the accompanying drawings. Please refer to FIG. 1, which is a structural diagram of a system and method based on coordinated sighting of the Internet of Vehicles. A system based on coordinated sighting of Internet of Vehicles includes a wireless communication module 110, It is to establish a connected vehicle road and image transmission with neighboring vehicles; a positioning trajectory module 120 is to obtain satellite positioning information and positioning trajectory information through a satellite positioning device and store the information in a supporting data processing module 150; an image acquisition module Group 130 is to obtain images and images of accidents and specific time intervals and store the images and images to corroborating data processing module 150; an image stamping module 140 is to acquire time proof information; corroborating data processing module The group 150 stores data for subsequent corroboration and performs data transmission with other vehicles.
其中影像擷取模組130，是利用行動影像紀錄裝置取得原始影像，並擷取出事故當下之圖像及特定時間區間之影像，並自動將其影像儲存至佐證資料處理模組150，其中影像戳記模組140，是將影像擷取模組130取得的圖像及影像資訊以及事故發生的時間點或時間區間之相關時間資訊，運用密碼學中雜湊函式取得訊息摘要(Message Digest)，透過第三 方公正單位提供的存證服務取得時間證明訊息並儲存至佐證資料處理模組150，而其中的後續佐證資料，包括儲存衛星定位資訊及定位軌跡資訊、圖像及影像與時間證明訊息。其中資料傳輸，是將圖像調整為利於傳送之大小並透過無線通訊模組與其他車輛進行傳輸。 The image capture module 130 uses the mobile image recording device to obtain the original image, extracts the current image of the accident and the image of the specific time interval, and automatically saves its image to the corroborating data processing module 150, where the image is stamped Module 140 is to use the hash function in cryptography to obtain the message digest through the image and image information obtained by the image capture module 130 and the time information related to the time or interval of the accident. The documentary certification service provided by the three-party fair unit obtains the time certification information and stores it in the supporting data processing module 150, and the subsequent supporting information includes storage of satellite positioning information and positioning trajectory information, images, images, and time certification information. The data transmission is to adjust the image to a size convenient for transmission and transmit to other vehicles through the wireless communication module.
請參閱圖2所示，為一種基於車聯網協同目擊的系統及方法之流程圖，其流程如下：步驟一、S210當車輛於行進間，車輛與鄰近車輛相互形成車聯網路；步驟二、S220當車輛於遭遇事故時，該事故車輛上之系統透過影像擷取模組取得圖像及影像資訊，並且透過影像戳記模組取得時間證明訊息後將圖像、影像資訊及時間證明訊息儲存至佐證資料處理模組；步驟三、S230該事故車輛利用車聯網路將透過定位軌跡模組取得事故發生當下之時間戳記及衛星定位資訊廣播至此車聯網路下之其他車輛之系統；步驟四、S240其他車輛之系統在收到事故車輛之系統所傳遞之訊息後，藉由影像擷取模組擷取該事故時間戳記之圖像及該時間戳記前後時間區間之影像，並將其儲存至佐證資料處理模組；步驟五、S250其他車輛之系統透過影像戳記模組取得影像時間證明訊息並儲存至佐證資料處理模組；以及步驟六、S260利用其他車輛系統之佐證資料處理模組將圖像調整為利於傳送之大小並藉由車聯網路傳 輸至事故車輛之系統中之佐證資料處理模組並儲存。 Please refer to FIG. 2, which is a flowchart of a system and method for collaborative sighting based on the Internet of Vehicles. The flow is as follows: Step 1: S210 When the vehicle is on the road, vehicles and neighboring vehicles form a network of vehicles with each other; Step 2, S220 When the vehicle encounters an accident, the system on the accident vehicle obtains the image and image information through the image capture module, and obtains the time certification information through the image stamping module, and stores the image, image information and time certification information to the evidence Data processing module; step three, S230 The vehicle using the connected vehicle will use the positioning track module to obtain the time stamp and satellite positioning information of the accident to other vehicles on the connected vehicle system; step four, S240 and other After receiving the information from the vehicle system of the accident, the vehicle's system uses the image capture module to capture the image of the accident timestamp and the time interval before and after the timestamp, and stores it to the supporting data processing. Module; Step 5: The system of S250 other vehicles obtains the image time certification information through the image stamping module and saves it to And the data processing module of step 6; S260 uses the supporting data processing module of other vehicle systems to adjust the image to a size convenient for transmission and transmits to the supporting data processing module in the system of the accident vehicle through the vehicle network. Save.
由上述流程可以得知，當車輛於行進間，車輛間透過無線通訊模組與鄰近車輛之無線通訊模組相互形成車聯網路，並隨著鄰近車輛變換而變動此車聯網拓樸；當某車輛於行進時遭遇到事故時，該事故車輛上的車聯網協同目擊的系統(事故車輛)，透過影像擷取模組取得事故當下之圖像及特定時間區間之影像資訊，再透過影像戳記模組取得時間證明訊息並將圖像、影像資訊以及時間證明訊息儲存至佐證資料處理模組；在同時間，利用車聯網路將透過定位軌跡模組取得的事故發生當下之時間戳記及地點訊息藉由無線通訊模組廣播至此架構下之車聯網協同目擊的系統(其他車輛)，車聯網協同目擊的系統(其他車輛)在收到車聯網協同目擊的系統(事故車輛)所傳遞之訊息時，藉由影像擷取模組擷取該事故時間戳記之圖像及該時間戳記前後時間區間之影像，並將其儲存至佐證資料處理模組，再利用影像戳記模組取得影像時間證明訊息並儲存至佐證資料處理模組，最後利用佐證資料處理模組將圖像調整為利於傳送之大小並藉由車聯網路傳輸至車聯網協同目擊的系統(事故車輛)中之佐證資料處理模組並儲存，以供後續釐清事故肇事責任歸屬之利用。 It can be known from the above process that when the vehicle is traveling, the vehicle communicates with the wireless communication module of the neighboring vehicle through the wireless communication module to form a connected vehicle road, and changes the connected vehicle topology as the neighboring vehicles change; When a vehicle encounters an accident while traveling, the vehicle-connected network on the accident vehicle (the accident vehicle) cooperates with the system (accident vehicle) to obtain the current image of the accident and the image information of the specific time interval through the image capture module, and then through the image stamping mode The team obtains the time certification information and stores the image, image information and time certification information to the corroborating data processing module; at the same time, the car network road will borrow the current time stamp and location information of the accident obtained through the positioning track module. The wireless communication module broadcasts to the car network collaborative sighting system (other vehicles) under this architecture. When the car network collaborative sighting system (other vehicles) receives the message transmitted by the car network collaborative sighting system (accident vehicle), Use the image capture module to capture the image of the accident time stamp and the images of the time interval before and after the time stamp, and Save it to the supporting data processing module, then use the image stamping module to obtain the image time certification information and save it to the supporting data processing module. Finally, use the supporting data processing module to adjust the image to a size convenient for transmission and use the Internet of Vehicles It is transmitted to the supporting data processing module in the car network collaborative sighting system (accident vehicle) and stored for later use to clarify the attribution of responsibility for the accident.
上列詳細說明乃針對本發明之一可行實施例進行具體說明，惟該實施例並非用以限制本發明之專利範圍，凡未脫離本發明技藝精神所為之等效實施或變更，均應包含於本案之專利範圍中。 The above detailed description is a specific description of a feasible embodiment of the present invention, but this embodiment is not intended to limit the patent scope of the present invention. Any equivalent implementation or change that does not depart from the technical spirit of the present invention should be included in Within the scope of the patent in this case.
綜上所述，本案不僅於技術思想上確屬創新，並具備習用之傳統方法所不及之上述多項功效，已充分符合新穎 性及進步性之法定發明專利要件，爰依法提出申請，懇請 貴局核准本件發明專利申請案，以勵發明，至感德便。 To sum up, this case is not only innovative in terms of technical ideas, but also has many of the above-mentioned effects that are not used by traditional methods. It has fully met the requirements of statutory invention patents that are novel and progressive. To approve this invention patent application, to encourage invention, to the utmost convenience.
Claims (11)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW106123923A TWI664101B (en) | 2017-07-18 | 2017-07-18 | System and method for collaborative sighting based on Internet of Vehicles |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| TW106123923A TWI664101B (en) | 2017-07-18 | 2017-07-18 | System and method for collaborative sighting based on Internet of Vehicles |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW201908168A TW201908168A (en) | 2019-03-01 |
| TWI664101B true TWI664101B (en) | 2019-07-01 |
Family
ID=66590271
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW106123923A TWI664101B (en) | 2017-07-18 | 2017-07-18 | System and method for collaborative sighting based on Internet of Vehicles |
Country Status (1)
| Country | Link |
|---|---|
| TW (1) | TWI664101B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI712519B (en) * | 2019-08-26 | 2020-12-11 | 神達數位股份有限公司 | Cooperative driving image collection method and system |
| CN110837576A (en) * | 2019-11-18 | 2020-02-25 | 英业达科技有限公司 | Traffic accident driving recording image collecting system and method thereof |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004215213A (en) * | 2003-01-08 | 2004-07-29 | Daigo Tsuno | Witness net system |
| CN1570980A (en) * | 2004-05-13 | 2005-01-26 | 中国科学院计算技术研究所 | A method for implementing automatic recording of traffic accident |
| CN105809957A (en) * | 2014-12-31 | 2016-07-27 | ***通信集团公司 | Vehicle collision information reporting method and device |
-
2017
- 2017-07-18 TW TW106123923A patent/TWI664101B/en active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004215213A (en) * | 2003-01-08 | 2004-07-29 | Daigo Tsuno | Witness net system |
| CN1570980A (en) * | 2004-05-13 | 2005-01-26 | 中国科学院计算技术研究所 | A method for implementing automatic recording of traffic accident |
| CN105809957A (en) * | 2014-12-31 | 2016-07-27 | ***通信集团公司 | Vehicle collision information reporting method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| TW201908168A (en) | 2019-03-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111010433B (en) | Traffic accident collaborative authentication processing and tracing system based on block chain technology | |
| AU2020100946A4 (en) | Multi-source traffic information sensing roadside device for smart highway | |
| CN110060484B (en) | Road passenger traffic violation real-time early warning system and method based on block chain | |
| TWI664101B (en) | System and method for collaborative sighting based on Internet of Vehicles | |
| CN103969701A (en) | System and method for realtime monitoring of city full-area air quality | |
| CN108306904A (en) | Car networking road conditions video acquisition and sharing method and system | |
| CN104781865A (en) | Method for making available route information by means of at least one motor vehicle | |
| CN103577412B (en) | High-definition video based traffic incident frame tagging method | |
| CN109741482B (en) | Information sharing method and device | |
| JP2019504561A (en) | Wireless mesh network distributed vision traffic marker and method | |
| US20180357895A1 (en) | Intelligent Distributed Vision Traffic Marker and Method Thereof | |
| CN205621299U (en) | Supplementary station reporting system and automobile -mounted terminal based on video identification | |
| CN103531020B (en) | Based on the Traffic Information Sharing method and system of vehicle-mounted pick-up and running fix | |
| CN103971528B (en) | The implementation method of the intelligent traffic monitoring system interconnected with vehicle to be monitored | |
| CN104916140A (en) | Bus lane occupation snapshotting device | |
| CN106816013B (en) | Illegal vehicle identification system based on engineering vehicle | |
| CN116798247A (en) | Accident data prompting method and related equipment | |
| CN107831762A (en) | The path planning system and method for a kind of new-energy automobile | |
| CN204557786U (en) | Traffic comprehensive treatment equipment | |
| CN105374085A (en) | Automobile data recorder | |
| Lal et al. | An emergency event detection approach in real-time for efficient vehicle safety in smart city | |
| TW201901634A (en) | Parking space identification system | |
| CN106791610A (en) | A kind of management system for Environmental Sanitation Infrastructures data | |
| CN205983756U (en) | A drive action monitoring device unusually for a vehicle operation member | |
| CN207867728U (en) | The automobile for automatically recording parking position based on NB-IoT |