TWI723299B - Traffic condition monitoring method and system using the same - Google Patents
Traffic condition monitoring method and system using the same Download PDFInfo
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Abstract
Description
本發明係關於一種路況監測方法與路況監測系統。 The invention relates to a road condition monitoring method and a road condition monitoring system.
隨著生活水準的提升，以駕駛車輛作為交通手段的人數日益增加。如能知悉路況，將有助於駕駛人即時到達目的地，避免多餘的時間及油費支出。 With the improvement of living standards, the number of people who use vehicles as a means of transportation is increasing. Knowing the road conditions will help drivers reach their destinations in real time, avoiding extra time and fuel expenses.
常見獲知路況的方法包含透過路況廣播、路況資訊平台、道路即時影像、及線上地圖系統等。其中，路況廣播或路況資訊平台的路況資訊來自用路人或警政單位通報，較不即時。道路即時影像僅能被動由使用者觀看，無法主動通報路況，且必須逐一觀看才能確知狀況發生地點及狀況為何。線上地圖系統是透過蒐集用路人手機的回報資訊，估算道路的行車速度，較難具體反應路況。 Common ways to know road conditions include traffic broadcasts, traffic information platforms, real-time road images, and online map systems. Among them, the road condition information on the road condition broadcast or the road condition information platform is reported by passers-by or police units, which is less real-time. The real-time image of the road can only be watched by the user passively, and the road condition cannot be reported actively, and it must be watched one by one to determine where and what the situation is. The online map system is to estimate the speed of the road by collecting the report information from the passerby's mobile phone, and it is more difficult to reflect the road conditions in detail.
本發明之主要目的在於提供一種路況監測方法，能更即時、具體地獲知路況。 The main purpose of the present invention is to provide a road condition monitoring method, which can learn the road condition more instantly and specifically.
本發明之另一目的在於提供一種路況監測系統，能更即時、具體地獲知路況。 Another object of the present invention is to provide a road condition monitoring system that can learn the road condition more instantly and specifically.
本發明之路況監測方法，包含以下步驟：(S1000)由影像獲取裝置在第一時間獲取第一位置之第一影像資料；(S2000)由影像獲取裝置在第二時間獲取第一位置之第二影像資料；(S3000)由處理模組根據第一影像資料及第二影像資料判斷是否有物件留在第一位置；(S4000)當有物件留在第一位置，由處理模組比對第一影像資料及第二影像資料至少其中之一是否與物件輪廓資料相符；(S5000)當第一影像資料及第二影像資料至少其中之一與物件輪廓資料相符，由處理模組產生路況識別結果。 The road condition monitoring method of the present invention includes the following steps: (S1000) Obtain the first image data of the first location at the first time by the image acquisition device; (S2000) Obtain the second image data of the first location at the second time by the image acquisition device Image data; (S3000) The processing module determines whether there is an object in the first position based on the first image data and the second image data; (S4000) When there is an object in the first position, the processing module compares the first position Whether at least one of the image data and the second image data matches the object outline data; (S5000) When at least one of the first image data and the second image data matches the object outline data, the processing module generates a road condition recognition result.
在本發明的實施例中，步驟(S3000)包含：(S3100)由處理模組根據第一影像資料獲得第一物件影像資料；(S3200)由處理模組根據第二影像資料獲得第二物件影像資料；(S3300)由處理模組比對第一物件影像資料及第二物件影像資料是否相符；(S3400)當第一物件影像資料及第二物件影像資料相符，由處理模組判斷有物件留在第一位置。 In an embodiment of the present invention, the step (S3000) includes: (S3100) obtaining the first object image data by the processing module according to the first image data; (S3200) obtaining the second object image according to the second image data by the processing module Data; (S3300) compare the image data of the first object with the image data of the second object by the processing module; (S3400) when the image data of the first object and the image data of the second object match, the processing module determines that there is an object left In the first position.
在本發明的實施例中，路況監測方法進一步包含步驟(S6000)由處理模組傳送路況識別結果到伺服器。 In the embodiment of the present invention, the road condition monitoring method further includes the step (S6000): the processing module transmits the road condition identification result to the server.
在本發明的實施例中，路況監測方法進一步包含步驟(S7000)由伺服器傳送路況識別結果到電子裝置。 In the embodiment of the present invention, the road condition monitoring method further includes the step (S7000) of transmitting the road condition identification result from the server to the electronic device.
在本發明的實施例中，物件輪廓資料選自包含警用車輛輪廓資料、消防車輛輪廓資料、救護車輛輪廓資料、拖吊車輛輪廓資料、吊掛車輛輪廓資料其中之一或其組合之群組。 In the embodiment of the present invention, the object profile data is selected from the group consisting of one or a combination of police vehicle profile data, firefighting vehicle profile data, ambulance vehicle profile data, towed vehicle profile data, suspension vehicle profile data .
在本發明的實施例中，物件輪廓資料選自包含警示裝置輪廓資料、阻隔裝置輪廓資料其中之一或其組合之群組。 In an embodiment of the present invention, the object profile data is selected from a group including one or a combination of warning device profile data and blocking device profile data.
在本發明的實施例中，物件輪廓資料選自包含人體輪廓資料、自行車輪廓資料其中之一或其組合之群組。。 In an embodiment of the present invention, the object profile data is selected from a group including one or a combination of human body profile data and bicycle profile data. .
本發明之路況監測系統包含影像獲取裝置以及處理模組。影像獲取裝置，在第一時間獲取第一位置之第一影像資料，在第二時間獲取第一位置之第二影像資料。處理模組與影像獲取裝置通訊連接，根據第一影像資料及第二影像資料判斷是否有物件留在第一位置。當有物件留在第一位置，由處理模組比對第一影像資料及第二影像資料至少其中之一是否與物件輪廓資料相符。當第一影像資料及第二影像資料至少其中之一與物件輪廓資料相符，產生路況識別結果。 The road condition monitoring system of the present invention includes an image acquisition device and a processing module. The image acquisition device acquires the first image data of the first location at the first time, and acquires the second image data of the first location at the second time. The processing module is in communication connection with the image acquisition device, and judges whether there is an object in the first position according to the first image data and the second image data. When an object remains in the first position, the processing module compares whether at least one of the first image data and the second image data matches the outline data of the object. When at least one of the first image data and the second image data matches the contour data of the object, a road condition recognition result is generated.
在本發明的實施例中，處理模組根據第一影像資料獲得第一物件影像資料，根據第二影像資料獲得第二物件影像資料，比對第一物件影像資料及第二物件影像資料是否相符，當第一物件影像資料及第二物件影像資料相符，判斷有物件留在第一位置。 In the embodiment of the present invention, the processing module obtains the first object image data according to the first image data, obtains the second object image data according to the second image data, and compares whether the first object image data and the second object image data match When the image data of the first object and the image data of the second object match, it is determined that there is an object remaining in the first position.
在本發明的實施例中，路況監測系統進一步包含伺服器，供接收由處理模組傳送之路況識別結果。 In the embodiment of the present invention, the road condition monitoring system further includes a server for receiving the road condition identification result transmitted by the processing module.
100‧‧‧影像獲取裝置 100‧‧‧Image capture device
200‧‧‧處理模組 200‧‧‧Processing Module
300‧‧‧伺服器 300‧‧‧Server
S1000‧‧‧步驟 S1000‧‧‧Step
S2000‧‧‧步驟 S2000‧‧‧Step
S3000‧‧‧步驟 S3000‧‧‧Step
S3100‧‧‧步驟 S3100‧‧‧Step
S3200‧‧‧步驟 S3200‧‧‧Step
S3300‧‧‧步驟 S3300‧‧‧Step
S3400‧‧‧步驟 S3400‧‧‧Step
S4000‧‧‧步驟 S4000‧‧‧Step
S5000‧‧‧步驟 S5000‧‧‧Step
S6000‧‧‧步驟 S6000‧‧‧Step
S7000‧‧‧步驟 S7000‧‧‧Step
圖1A為本發明路況監測方法之實施例流程示意圖；圖1B為本發明路況監測方法之不同實施例流程示意圖；圖2為本發明路況監測方法之不同實施例流程示意圖；圖3為本發明路況監測方法之不同實施例流程示意圖；圖4為本發明路況監測系統之實施例示意圖；圖5為本發明路況監測系統之不同實施例示意圖。 Figure 1A is a schematic flow chart of an embodiment of the road condition monitoring method of the present invention; Figure 1B is a schematic flow chart of different embodiments of the road condition monitoring method of the present invention; Figure 2 is a schematic flow chart of different embodiments of the road condition monitoring method of the present invention; Figure 3 is a schematic diagram of the road conditions of the present invention Fig. 4 is a schematic diagram of an embodiment of the road condition monitoring system of the present invention; Fig. 5 is a schematic diagram of different embodiments of the road condition monitoring system of the present invention.
本發明之路況監測方法及系統較佳係用於道路系統，但不限於此。例如，可應用在管制區域或停車場。 The road condition monitoring method and system of the present invention are preferably used in road systems, but are not limited thereto. For example, it can be used in controlled areas or parking lots.
如圖1A所示之實施例，本發明車輛識別方法包含例如以下步驟。 As shown in the embodiment shown in FIG. 1A, the vehicle identification method of the present invention includes, for example, the following steps.
步驟S1000，由影像獲取裝置在第一時間獲取第一位置之第一影像資料。具體而言，係以數位照相機作為影像獲取裝置，並在第一時間對道路的第一位置照相作為第一影像資料。在不同實施例中，亦可使用數位攝影機對車輛錄影，然後再對錄影畫面中的車輛進行畫面擷取作為第一影像資料。其中，第一位置可以是道路的任一位置，包含但不限於交叉路口、岔路口、出入口、收費道路計費點等，且可以為影像獲取裝置攝錄像可及的範圍。在較佳實施例中，影像獲取裝置設置在第一位置，獲取經過該第一位置之影像資料，供作為路況監視、通行費費用計算等的依據。 In step S1000, the first image data of the first location is acquired by the image acquisition device at the first time. Specifically, a digital camera is used as the image acquisition device, and the first position of the road is taken at the first time as the first image data. In different embodiments, a digital camera may also be used to record a vehicle, and then a screen capture of the vehicle in the recorded picture is taken as the first image data. Wherein, the first location can be any location on the road, including but not limited to intersections, forks, entrances and exits, toll road charging points, etc., and can be a range that can be captured and recorded by the image acquisition device. In a preferred embodiment, the image acquisition device is set at the first location to acquire image data passing through the first location for use as a basis for road condition monitoring, toll fee calculation, etc.
步驟S2000，由影像獲取裝置在第二時間獲取第一位置之第二影像資料。具體而言，係以數位照相機作為影像獲取裝置，並在第二時間對道路的第一位置照相作為第二影像資料。在不同實施例中，亦可使用數位攝影機對車輛錄影，然後再對錄影畫面中的車輛進行畫面擷取作為第二影像資料。其中，第一時間及第二時間之時間差距可視需求預先決定。例如，可預定第一時間經過15分鐘後的時間為第二時間；換言之，影像獲取裝置在獲取第一影像資料後，經過15分鐘獲取第二影像資料。 In step S2000, the second image data of the first location is acquired by the image acquisition device at the second time. Specifically, a digital camera is used as the image acquisition device, and the first position of the road is taken at the second time as the second image data. In different embodiments, a digital camera may also be used to record the vehicle, and then the vehicle in the recorded image may be captured as the second image data. Among them, the time gap between the first time and the second time can be determined in advance according to requirements. For example, the time after 15 minutes has elapsed from the first time can be predetermined as the second time; in other words, the image acquisition device acquires the second image data after 15 minutes after acquiring the first image data.
步驟S3000，由處理模組根據第一影像資料及第二影像資料判斷是否有物件留在第一位置。具體而言，處理模組包含資料處理功能， 可以例如是直接設置在影像獲取裝置的晶片組或與藉由網際網路、有線電話、行動電話、數據電纜、微波、無線電等方式與影像獲取裝置通訊連接的計算機或伺服器。其中，通訊連接泛指藉由網際網路、有線電話、行動電話、數據電纜、微波、無線電等方式可達成訊號傳輸的連接。第一影像資料及第二影像資料可由影像獲取裝置傳送至處理模組。進一步而言，處理模組是利用人工智慧根據第一影像資料及第二影像資料進行各種條件判斷是否有物件留在第一位置。例如，假若在第一影像資料以及第二影像資料中有相同的外觀輪廓，則判斷有具備該外觀輪廓的物件留在第一位置。 In step S3000, the processing module determines whether an object remains in the first position according to the first image data and the second image data. Specifically, the processing module contains data processing functions, It can be, for example, a chipset directly installed in the image capturing device, or a computer or server that communicates with the image capturing device via the Internet, wired telephone, mobile phone, data cable, microwave, radio, or the like. Among them, communication connection generally refers to a connection that can achieve signal transmission through the Internet, wired phones, mobile phones, data cables, microwaves, and radio. The first image data and the second image data can be sent to the processing module by the image acquisition device. Furthermore, the processing module uses artificial intelligence to perform various conditions to determine whether there is an object in the first position based on the first image data and the second image data. For example, if the first image data and the second image data have the same appearance contour, it is determined that an object with the appearance contour remains in the first position.
進一步而言，如圖1B所示，在一實施例中，步驟S3000包含例如以下步驟。 Furthermore, as shown in FIG. 1B, in one embodiment, step S3000 includes, for example, the following steps.
步驟S3100，由處理模組根據第一影像資料獲得第一物件影像資料。步驟S3200，由處理模組根據第二影像資料獲得第二物件影像資料。步驟S3300，由處理模組比對第一物件影像資料及第二物件影像資料是否相符。步驟S3400，當第一物件影像資料及第二物件影像資料相符，由處理模組判斷有物件留在第一位置。 In step S3100, the processing module obtains the image data of the first object according to the first image data. In step S3200, the processing module obtains the second object image data according to the second image data. In step S3300, the processing module compares whether the image data of the first object and the image data of the second object match. In step S3400, when the image data of the first object and the image data of the second object match, the processing module determines that there is an object remaining in the first position.
步驟S4000，當有物件留在第一位置，由處理模組比對第一影像資料及第二影像資料至少其中之一是否與物件輪廓資料相符。其中，物件輪廓資料泛指物件外型的概括性輪廓。物件輪廓資料可預存錄於第一處理模組，或存錄於外接儲存媒體供第一處理模組連接讀取。所謂第一影像資料與物件輪廓資料之比對結果相符，包含第一影像資料與物件輪廓資料具有相同的特徵。 In step S4000, when an object remains in the first position, the processing module compares whether at least one of the first image data and the second image data is consistent with the outline data of the object. Among them, the object outline data generally refers to the general outline of the object appearance. The object profile data can be pre-stored in the first processing module, or stored in an external storage medium for the first processing module to connect and read. The so-called match between the first image data and the object outline data includes the first image data and the object outline data having the same characteristics.
步驟S5000，當第一影像資料及第二影像資料至少其中之一與物件輪廓資料相符，由處理模組產生路況識別結果。在一實施例中，物件輪廓資料選自包含警用車輛輪廓資料、消防車輛輪廓資料、救護車輛輪廓資料、拖吊車輛輪廓資料、吊掛車輛輪廓資料其中之一或其組合之群組，相應的路況識別結果包含交通事故結果。在一實施例中，物件輪廓資料選自包含警示裝置輪廓資料、阻隔裝置輪廓資料其中之一或其組合之群組，相應的路況識別結果包含道路障礙結果。在一實施例中，物件輪廓資料選自包含人體輪廓資料、自行車輪廓資料其中之一或其組合之群組，相應的 路況識別結果包含行人警示結果。 In step S5000, when at least one of the first image data and the second image data matches the contour data of the object, the processing module generates a road condition recognition result. In one embodiment, the object profile data is selected from a group including one or a combination of police vehicle profile data, firefighting vehicle profile data, ambulance vehicle profile data, towing vehicle profile data, suspension vehicle profile data, and corresponding The road condition recognition results include the results of traffic accidents. In one embodiment, the object profile data is selected from a group including one or a combination of warning device profile data and blocking device profile data, and the corresponding road condition recognition result includes a road obstacle result. In one embodiment, the object profile data is selected from a group including one of human body profile data, bicycle profile data, or a combination thereof, correspondingly The road condition recognition result includes the pedestrian warning result.
更具體而言，在一實施例中，甲車輛於位在A道路上的B位置(第一位置)發生事故，乙拖吊車輛到B位置處理。因此位在B位置的監視器(影像獲取裝置)在第一時間獲取的第一影像資料及在經過一段時間後的第二時間獲取的第二影像資料中，都會出現乙車輛。位於伺服器的處理模組收到由影像獲取裝置傳送的第一影像資料及第二影像資料後，分別根據第一影像資料及第二影像資料獲得第一物件影像資料以及第二物件影像資料。通過處理模組比對，第一物件影像資料及第二物件影像資料相符，均為乙拖吊車輛，故判斷有物件留在第一位置。接著，通過處理模組比對，第一物件影像資料及第二物件影像資料與拖吊車輛輪廓資料相符(例如具有拖吊桿)。於是，處理模組產生「交通事故結果」之路況識別結果。 More specifically, in an embodiment, a vehicle A has an accident at a position B (the first position) on a road A, and the vehicle B is towed to the position B for treatment. Therefore, in the first image data acquired by the monitor (image acquisition device) at position B at the first time and the second image data acquired at the second time after a certain period of time, vehicle B will appear. After receiving the first image data and the second image data sent by the image acquisition device, the processing module located on the server obtains the first object image data and the second object image data according to the first image data and the second image data, respectively. Through the comparison of the processing module, the image data of the first object and the image data of the second object are consistent, and both are the second towed vehicle, so it is determined that there is an object left in the first position. Then, through the comparison of the processing module, the first object image data and the second object image data are consistent with the contour data of the towing vehicle (for example, with a towing rod). Therefore, the processing module generates the road condition recognition result of the "traffic accident result".
如圖2所示，本發明路況監測方法進一步包含步驟S6000，由處理模組傳送路況識別結果到伺服器。更具體而言，在前述實施例中，處理模組產生「交通事故結果」之路況識別結果，處理模組可將此路況識別結果傳送到例如位於交通控制中心的伺服器。據此，交通控制中心可即時、具體地獲知A道路上的B位置發生事故。 As shown in FIG. 2, the road condition monitoring method of the present invention further includes step S6000, in which the processing module transmits the road condition identification result to the server. More specifically, in the foregoing embodiment, the processing module generates a road condition recognition result of the "traffic accident result", and the processing module can transmit the road condition recognition result to, for example, a server located in a traffic control center. According to this, the traffic control center can instantly and specifically know that an accident occurred at position B on the A road.
如圖3所示，本發明路況監測方法進一步包含步驟S7000，由伺服器傳送路況識別結果到電子裝置。更具體而言，道路用路人可將自己的行動電話與伺服器通訊連接，伺服器傳送路況識別結果到行動電話。據此，用路人可即時、具體地獲知A道路上的B位置發生事故。 As shown in FIG. 3, the road condition monitoring method of the present invention further includes step S7000, in which the server transmits the road condition identification result to the electronic device. More specifically, road users can connect their mobile phones to the server for communication, and the server sends the road condition identification results to the mobile phone. According to this, passers-by can instantly and specifically know that an accident occurred at position B on road A.
在另一實施例中，位在A道路上的B位置(第一位置)發生坑洞，路人丙為了避免事故發生，在B位置放置丁交通錐(警示裝置)。因此位在B位置的監視器(影像獲取裝置)在第一時間獲取的第一影像資料及在經過一段時間後的第二時間獲取的第二影像資料中，都會出現丁交通錐。位於伺服器的處理模組收到由影像獲取裝置傳送的第一影像資料及第二影像資料後，分別根據第一影像資料及第二影像資料獲得第一物件影像資料以及第二物件影像資料。通過處理模組比對，第一物件影像資料及第二物件影像資料相符，均為丁交通錐，故判斷有物件留在第一位置。接 著，通過處理模組比對，第一物件影像資料及第二物件影像資料與警示裝置輪廓資料相符(例如均為三角錐狀)。於是，處理模組產生「道路障礙結果」之路況識別結果。 In another embodiment, a pothole occurs at position B (the first position) on the road A, and passer C places a traffic cone (warning device) at position B in order to avoid accidents. Therefore, traffic cones will appear in the first image data acquired by the monitor (image acquisition device) at position B at the first time and the second image data acquired at the second time after a period of time has passed. After receiving the first image data and the second image data sent by the image acquisition device, the processing module located on the server obtains the first object image data and the second object image data according to the first image data and the second image data, respectively. Through the comparison of the processing module, the image data of the first object and the image data of the second object are consistent, and they are all traffic cones, so it is determined that there is an object left in the first position. Pick up Therefore, through the comparison of the processing module, the image data of the first object and the image data of the second object are consistent with the outline data of the warning device (for example, both are triangular pyramid-shaped). Therefore, the processing module generates the road condition recognition result of the "road obstacle result".
如圖4所示的實施例，本發明之路況監測系統900包含影像獲取裝置100以及處理模組200。影像獲取裝置在第一時間獲取第一位置之第一影像資料，在第二時間獲取第一位置之第二影像資料。處理模組200與影像獲取裝置100通訊連接，根據第一影像資料及第二影像資料判斷是否有物件留在第一位置。當有物件留在第一位置，由處理模組比對第一影像資料及第二影像資料至少其中之一是否與物件輪廓資料相符。當第一影像資料及第二影像資料至少其中之一與物件輪廓資料相符，產生路況識別結果。
As shown in the embodiment shown in FIG. 4, the road
在一實施例中，處理模組根據第一影像資料獲得第一物件影像資料，根據第二影像資料獲得第二物件影像資料，比對第一物件影像資料及第二物件影像資料是否相符，當第一物件影像資料及第二物件影像資料相符，判斷有物件留在第一位置。 In one embodiment, the processing module obtains the first object image data according to the first image data, obtains the second object image data according to the second image data, and compares whether the first object image data and the second object image data match, when The image data of the first object matches the image data of the second object, and it is determined that there is an object remaining in the first position.
如圖5所示的不同實施例，路況監測系統900進一步包含伺服器300，供接收由處理模組傳送之路況識別結果。
As shown in the different embodiment shown in FIG. 5, the road
雖然前述的描述及圖式已揭示本發明之較佳實施例，必須瞭解到各種增添、許多修改和取代可能使用於本發明較佳實施例，而不會脫離如所附申請專利範圍所界定的本發明原理之精神及範圍。熟悉本發明所屬技術領域之一般技藝者將可體會，本發明可使用於許多形式、結構、佈置、比例、材料、元件和組件的修改。因此，本文於此所揭示的實施例應被視為用以說明本發明，而非用以限制本發明。本發明的範圍應由後附申請專利範圍所界定，並涵蓋其合法均等物，並不限於先前的描述。 Although the foregoing description and drawings have disclosed the preferred embodiment of the present invention, it must be understood that various additions, many modifications and substitutions may be used in the preferred embodiment of the present invention without departing from the scope of the attached patent application. The spirit and scope of the principles of the present invention. Those skilled in the art to which the present invention belongs will be able to appreciate that the present invention can be used for many modifications of forms, structures, arrangements, proportions, materials, elements and components. Therefore, the embodiments disclosed herein should be considered to illustrate the present invention, rather than to limit the present invention. The scope of the present invention should be defined by the scope of the attached patent application, and cover its legal equivalents, and is not limited to the previous description.
S1000‧‧‧步驟 S1000‧‧‧Step
S2000‧‧‧步驟 S2000‧‧‧Step
S3100‧‧‧步驟 S3100‧‧‧Step
S3200‧‧‧步驟 S3200‧‧‧Step
S3300‧‧‧步驟 S3300‧‧‧Step
S3400‧‧‧步驟 S3400‧‧‧Step
S4000‧‧‧步驟 S4000‧‧‧Step
S5000‧‧‧步驟 S5000‧‧‧Step
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