KR102295149B1 - System and method for estimating location of accident vehicle - Google Patents

Abstract

The present invention proposes an accident vehicle location estimation system and method for requesting emergency rescue by estimating the current location of the accident vehicle based on vehicle information collected from the accident vehicle at the current time and at the previous time point. Accident vehicle location estimation system according to the present invention includes: a vehicle information collection unit for collecting vehicle information obtained by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point; a current location estimator for estimating a current location of the accident vehicle based on vehicle information; and a rescue request unit for requesting rescue of a person who occupies the vehicle based on the current location of the accident vehicle.

Description

System and method for estimating location of accident vehicle

The present invention relates to a system and method for estimating the current location of an accident vehicle. More particularly, it relates to a system and method for estimating the current location of an accident vehicle in a Public Safety Answering Point (PSAP).

An emergency call system (eCall System; emergency call system) is a system that sends the location, speed, direction, and vehicle information of the accident vehicle to a nearby Public Safety Answering Point (PSAP) in the event of a vehicle accident so that rapid and efficient emergency measures are taken am.

However, if the global navigation satellite system (GNSS) of the accident vehicle does not operate normally due to a vehicle accident, the PSAP cannot receive information on the current location from the accident vehicle. In this case, there is a problem in that it is impossible to quickly rescue a vehicle accident.

Korean Patent Application Laid-Open No. 2007-0049700 proposes an apparatus for providing an emergency rescue service. However, this device cannot solve the above problem because it provides information about the accident vehicle when the GNSS of the accident vehicle operates normally.

The present invention has been devised to solve the above problems, and a system and method for estimating an accident vehicle location for requesting emergency rescue by estimating the current location of the accident vehicle based on vehicle information collected from the accident vehicle at the current time and at the previous time point aims to propose

However, the object of the present invention is not limited to the above, and other objects not mentioned will be clearly understood by those skilled in the art from the following description.

The present invention has been devised to achieve the above object, comprising: a vehicle information collection unit for collecting vehicle information obtained by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point; a current location estimator for estimating a current location of the accident vehicle based on the vehicle information; and a rescue requesting unit for requesting rescue of a person who occupies the vehicle based on the current location of the accident vehicle.

Preferably, the current location estimating unit uses previous location information of the accident vehicle, speed information of the accident vehicle, and movement direction information of the accident vehicle as the vehicle information.

Preferably, the current location estimator further uses environmental information of a place where the accident vehicle is located or driving information of another vehicle located within a predetermined distance from the accident vehicle as the vehicle information.

Preferably, the current location estimator corrects the speed information of the accident vehicle by using the environment information or the driving information of the other vehicle, and when estimating the current location of the accident vehicle, the corrected speed information of the accident vehicle use the

Preferably, the current location estimating unit is the environment information among the state information of the road surface on which the accident vehicle travels, information on obstacles located within a predetermined distance from the accident vehicle, and information on the topography in front of the accident vehicle. At least one piece of information is used.

Preferably, the accident vehicle location estimation system further includes a vehicle accident determination unit for determining whether the vehicle is the accident vehicle.

Preferably, when the vehicle accident determination unit determines that the vehicle is the accident vehicle, the vehicle information stored in the vehicle at the previous time is transmitted first, and is acquired by the sensors installed in the vehicle at the current time. The vehicle information is transmitted later.

Preferably, the accident vehicle location estimation system further includes an accident type estimator for estimating the type of accident occurring in the accident vehicle based on environmental information of a place where the accident vehicle is located.

Preferably, the accident vehicle location estimation system operates when the current location of the accident vehicle cannot be obtained using a Global Navigation Satellite System (GNSS).

In addition, the present invention comprises the steps of: collecting vehicle information obtained by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point; estimating a current location of the accident vehicle based on the vehicle information; and requesting a rescue for a person who occupies the vehicle based on the current location of the accident vehicle.

Preferably, the estimating uses previous location information of the accident vehicle, speed information of the accident vehicle, and movement direction information of the accident vehicle as the vehicle information.

Preferably, in the estimating, environment information of a place where the accident vehicle is located or driving information of another vehicle located within a predetermined distance from the accident vehicle is further used as the vehicle information.

Preferably, the estimating step corrects speed information of the accident vehicle using the environment information or driving information of the other vehicle, and when estimating the current location of the accident vehicle, corrected speed information of the accident vehicle use the

Preferably, in the estimating step, as the environment information, among the state information of the road surface on which the accident vehicle travels, information on obstacles located within a predetermined distance from the accident vehicle, and information on the topography in front of the accident vehicle At least one piece of information is used.

Preferably, before the collecting step, the method further comprises the step of determining whether the subject vehicle is the accident vehicle.

Preferably, in the determining step, when it is determined that the own vehicle is the accident vehicle, vehicle information stored in the own vehicle at the previous time is first transmitted and acquired by the sensors installed in the own vehicle at the current time. The vehicle information is transmitted later.

Preferably, before the requesting step, the method further comprises estimating the type of accident occurring in the accident vehicle based on environmental information of a place where the accident vehicle is located.

Preferably, the accident vehicle location estimation method is performed when the current location of the accident vehicle cannot be obtained using a Global Navigation Satellite System (GNSS).

The present invention can obtain the following effects by estimating the current location of the accident vehicle based on vehicle information collected from the accident vehicle at the current time and at the previous time and requesting emergency rescue.

First, it is possible to reduce the possibility of secondary additional damage by shortening the time it takes for rescue teams to reach the accident site.

Second, human casualties can be minimized through quick and accurate rescue activities.

1 is a schematic configuration diagram of an emergency call system according to an embodiment of the present invention.
2 is a block diagram schematically illustrating an internal configuration of an eCall module included in an emergency call system.
3 is a flowchart illustrating a process of estimating a current location of an accident vehicle by a vehicle information analysis unit.
4 is a flowchart illustrating a process for estimating the location of an accident vehicle according to an embodiment of the present invention.
5 is a block diagram schematically illustrating an accident vehicle location estimation system according to a preferred embodiment of the present invention.
6 is a flowchart schematically illustrating a method for estimating the location of an accident vehicle according to a preferred embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. First of all, it should be noted that in adding reference numerals to the components of each drawing, the same components are given the same reference numerals as much as possible even though they are indicated on different drawings. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description thereof will be omitted. In addition, preferred embodiments of the present invention will be described below, but the technical spirit of the present invention is not limited thereto and may be variously implemented by those skilled in the art without being limited thereto.

When it is determined that a vehicle accident has occurred, the eCall module installed in the vehicle transmits a Minimum Set of Data (MSD) message to the Public Safety Answering Point (PSAP) server.

However, the vehicle accident information transmitted to the PSAP server is only general vehicle information. In addition, depending on the circumstances, if the final location information of the vehicle cannot be transmitted to the server after an accident, the time it takes to extinguish the accident after dispatching the rescue team may be longer. In addition, safety issues for vehicle occupants due to delay in suppression time and secondary accidents such as vehicle explosions may additionally occur.

The present invention enables guessing and calculation by virtual simulation of the final location of the accident vehicle through the information finally transmitted when communication between the eCall module and the PSAP server is cut off after recognizing the occurrence of an accident from the eCall module.

1 is a schematic configuration diagram of an emergency call system according to an embodiment of the present invention.

The emergency call system (eCall System; 100) is a system that transmits accident information data to an accident reception center (PSAP) when an accident occurs, and then connects a voice channel between the accident and the center operator to determine the accident situation. This emergency call system 100 is to minimize human casualties through rapid rescue after an accident.

The emergency call system 100 is largely divided into three parts. That is, it is divided into IVS (In-Vehicle System) directly in charge of terminal, MNO (Mobile Network Operator) in charge of intermediate connection, and PSAP that receives and processes information from the end.

The most important function in IVS is to generate and deliver a Minimum Set of Data (MSD) message. When an accident occurs, IVS collects basic information about the vehicle and driver, generates a 140-byte MSD message, and sends it to the PSAP through Modem.

The emergency call system 100 estimates the current location of the accident vehicle by analyzing information provided from the accident vehicle and information stored in the database when a vehicle accident occurs. Accordingly, the emergency call system 100 can shorten the time required for the rescue team to arrive at the accident site by dispatching the rescue team to the estimated location, and can reduce the occurrence of additional secondary damage.

When a vehicle accident occurs, the accident presence determination unit 111 recognizes the vehicle accident. Thereafter, the vehicle information transmission unit 112 transmits the accident details and the current state information of the accident vehicle to the PSAP server 120 . The accident presence determination unit 111 and the vehicle information transmission unit 112 are configured to be included in the eCall module 110 mounted on the vehicle.

The PSAP server 120 continuously communicates with the eCall module 110 to receive vehicle information from the eCall module 110 in real time. Even if a vehicle accident occurs, if the eCall module 110 operates normally, the PSAP server 120 may obtain location information of the accident vehicle from the eCall module 110 of the accident vehicle. However, when an abnormality occurs in the operation of the eCall module 110 or communication is cut off due to an impact caused by a vehicle accident, a system error, etc., the PSAP server 120 becomes impossible to obtain the location of the accident vehicle.

In the present invention, in this case, the PSAP server 120 analyzes and calculates the vehicle information finally received from the eCall module 110 of the accident vehicle to estimate the location information of the vehicle. In the present invention, when precise analysis is difficult with only information transmitted from the vehicle, the current location of the vehicle is determined by constructing a database through local road condition information, surrounding environment information, weather information, statistics collected from previous accidents, etc. can be estimated

The accident presence determination unit 111 determines whether the vehicle has an accident. A method of determining the presence or absence of an accident is possible in a number of ways. In the present invention, the accident determination unit 111 may determine whether the vehicle has an accident using a method through voice, a method using acceleration data, a method through an airbag deployment signal, a method using multiple sensors, and the like.

In the case of using the method through voice, the accident determination unit 111 may determine whether the vehicle has an accident based on the content of the voice call between the driver and the PSAP center.

When the acceleration data is used, the accident presence/absence determining unit 111 may measure the acceleration data every predetermined time, and when the current acceleration data is 0, it may be determined that a vehicle accident has occurred. At this time, since the acceleration data may be 0 even when the vehicle is stopped, the accident presence determination unit 111 further considers the location of the transmission (P, R, N, D, 1, 2, etc.) to determine whether the vehicle has an accident or not. It is preferable to judge

In the case of using multiple sensors, the accident determination unit 111 determines whether or not the vehicle has an accident by using a combination of the presence or absence of a change in the location of the vehicle through the GPS sensor and the presence or absence of an impact applied to the vehicle through an impact sensor on the outer surface of the vehicle. can

The vehicle information transmitter 112 continuously records driving information while the vehicle is driving and deletes data of a previous time. When it is determined that a vehicle accident has occurred by the accident determination unit 111 , the vehicle information transmission unit 112 transmits both vehicle information at the time of the accident and the previous time to the PSAP server 120 . At this time, the vehicle information transmission unit 112 simultaneously transmits the information of the previous time (information stored in the memory) and the information of the current time (information acquired by the sensor), and then transmits the information acquired by the sensor in real time to the PSAP server. (120). The vehicle information transmitter 112 configures a separate memory to simultaneously transmit the information of the previous time and the information of the current time to store the information of the previous time.

2 is a block diagram schematically illustrating an internal configuration of an eCall module included in an emergency call system. The sensor unit 210 , the collection unit 220 , and the storage 230 are components provided in the accident determination unit 111 , and the transmitter 240 is a component provided in the vehicle information transmission unit 112 .

Vehicle information is collected by the collection unit 220 through the sensor unit 210 while the vehicle is running, and overwrites with new information through the storage 230 .

When an accident occurs, the collection unit 220 determines whether an accident has occurred, and when it is determined that an accident occurs, the information of the previous time stored in the storage 230 is not overwritten and transmitted to the PSAP server 120 and then transferred to the collection unit 220 Transmits time-information sequentially. Thereafter, the collection unit 220 directly transmits the transmission to the transmission unit 240 without going through the storage 230, and reduces the process of being stored in the storage 230 and then transmitted, thereby reducing the cause of transmission failure due to failure in the event of an accident. It can also be attributed to time reduction.

During driving, data is collected by the collecting unit 220 through the sensor unit 210 and transmitted to the transmitting unit 240 through the path ①. When an accident occurs, the previous data of the first accident occurrence data is transmitted through path ①, and subsequent data is transmitted through path ②.

It will be described again with reference to FIG. 1 .

The eCall module 110 transmits information such as fuel type, time, location of the accident vehicle, the movement direction of the accident vehicle, the locations of other vehicles located around the accident vehicle, the number of occupants, etc. to the PSAP server 120 to determine the current status of the accident vehicle. Reliability can be increased when estimating the location. In the present invention, there is no need for a vehicle mounting module such as an additional sensor attachment, and only the information transmitted from the previously defined eCall module 110 is used to estimate the current location of the accident vehicle along with the database contents built in the PSAP server 120 . can be calculated

The vehicle information analysis unit 121 estimates and calculates final location information of the accident vehicle by analyzing vehicle information transmitted from the accident vehicle.

If a signal can be continuously sent from the eCall module 110 mounted on the accident vehicle until the end of the accident, the most accurate location information can be received. Only the final signal should accurately analyze the location of the accident vehicle.

The vehicle information analysis unit 121 utilizes the last speed of the accident vehicle sent from the accident vehicle, the location of the accident vehicle, the direction of the accident vehicle, etc. It is possible to further utilize information about the surrounding environment, weather information, and surrounding vehicle operation information in the area where the accident occurred.

If the vehicle is moved to an unspecified area regardless of the driver's intention as it departs from a driving road in a remote mountainous area or off-island area, the location of the vehicle may be delayed even if a rescue team is dispatched. In the present invention, in consideration of this point, the vehicle information analysis unit 121 calculates the moving direction of the vehicle through location information, speed information, direction information, etc. transmitted from the vehicle, and then analyzes environmental factors to determine the degree of slippage due to rain, Predict information such as falling according to surrounding trees or rock structures. The vehicle information analysis unit 121 may refer to a similar location by inquiring a history of an accident occurring at the same location based on not only the location calculated value through the vehicle information and database information but also the previously occurring accident information.

The above contents may be organized as shown in FIG. 3 . 3 is a flowchart illustrating a process of estimating a current location of an accident vehicle by a vehicle information analysis unit.

The vehicle information analysis unit 121 acquires vehicle information 310 such as the location, speed, and direction of the accident vehicle finally received from the accident vehicle in order to estimate the current location of the accident vehicle.

It is possible to estimate the current location of the accident vehicle only with the vehicle information 305 . However, in order to more accurately derive the estimated location of the accident vehicle, the vehicle information analysis unit 121 may utilize information stored in the database 320 . In this case, the vehicle information analysis unit 121 is the information stored in the database 320, and the environmental factors 321 according to the vehicle movement direction, the surrounding vehicle information 322 of the accident point, weather information 323, the accident location The history 324 and the like can be used.

The vehicle information analysis unit 121 estimates the current location of the accident vehicle based on the vehicle information 310 and information stored in the database 320 ( 330 ). At this time, the vehicle information analysis unit 121 determines the current location of the accident vehicle from a plurality of candidates, namely, candidate 1 (340a), candidate 2 (340b), ... , candidate N(340n), and the like.

It will be described again with reference to FIG. 1 .

The rescue request unit 122 is a configuration for dispatching a rescue team and handling an accident.

In the event of a vehicle accident, the degree of additional damage may vary greatly depending on the arrival time of the rescue team at the accident site. According to the present invention, even if the location information is not provided from the accident vehicle, the current location of the accident vehicle is estimated using the vehicle information and information stored in the database, thereby remarkably shortening the time at which the rescue team arrives at the accident point compared to the prior art.

Next, the vehicle position estimation process of the vehicle information analysis unit 121 will be described in more detail.

The vehicle information analysis unit 121 estimates the location of the accident vehicle based on the collected data. The vehicle information analysis unit 121 utilizes the speed, direction, location, and environment information around the accident vehicle to which the last information was transmitted, weather information, etc. of the accident vehicle last received from the accident vehicle as data necessary for estimating the location of the accident vehicle. can

The vehicle information analysis unit 121 calculates a basic measurement value by using information transmitted from the accident vehicle. The vehicle information analysis unit 121 predicts the movement path of the accident vehicle by using the speed, direction, location, etc. of the accident vehicle, and determines the final speed by using additional information such as environmental factors according to the speed of the accident vehicle. The vehicle information analysis unit 121 determines the limit angle range of the moving direction based on the location and the moving direction of the accident vehicle to 30 degrees in total by 15 degrees left and right with respect to the moving direction.

The vehicle information analysis unit 121 may designate a speed change range due to environmental factors in a total of 10 steps by converting the rainfall amount, temperature, and humidity information into a database based on the weather information. For example, the vehicle information analysis unit 121 may designate as follows.

Stage 1: -20KM/h / Stage 2: -15KM/h / Stage 3: -10KM/h / Stage 4: -5KM/h / Stage 5: 0KM/h / Stage 6: +5KM/h / Stage 7: +10KM/h /8 stage: +15KM/h / 9th stage: +20KM/h / 10th stage: +25KM/h

The vehicle information analysis unit 121 may add environmental factor information when the speed increase/decrease is calculated based on the basic data and weather information.

The vehicle information analysis unit 121 may calculate the location of the accident vehicle by retrieving the environmental information stored in the database within the server within a limit angle of 30 degrees of the moving direction of the accident vehicle. The form of addition or subtraction of the environmental information consists of the road surface condition in the moving direction, the presence and shape of obstacles in the moving direction, and changes in topography such as cliffs.

The vehicle information analysis unit 121 may designate acceleration/deceleration in 10 steps according to the road surface condition in the moving direction, and may configure the speed fluctuation range from -5KM/h to +5KM/h.

The vehicle information analysis unit 121 may apply the obstacle information in the moving direction to the speed increase/decrease based on the database information in the server. The vehicle information analysis unit 121 may configure the speed fluctuation range from -50 KM/h to +0 KM/h, and may configure the addition/deduction step in 5 steps.

Changes in topography include rapid environmental changes such as cliffs and lakes. Since such information may give a large variation in estimating the speed of the accident vehicle, the vehicle information analysis unit 121 may start a new estimation based on the change time of the terrain.

The vehicle information analyzer 121 may calculate the accident vehicle occurrence point and relative location information in the similar terrain by using the similar event accident information of the database in the server along with the vehicle speed and direction information at the time of the change of the terrain. In this case, the vehicle information analysis unit 121 may calculate the final estimated location information by adding or subtracting the vehicle discovery point and the vehicle movement information in the most similar similar event accident information. It consists of a total of 6 steps, and location information is indicated by radius, not speed. It consists of 6 steps from a radius of 5 m to a radius of 30 m from the point.

Hereinafter, the accident vehicle estimation process will be described with an example.

Vehicle A collided with the vehicle in front due to the driver's drowsy driving, deviated from the driving lane, and disappeared 20 degrees to the right from the driving direction. The impact caused by the collision with the vehicle in front caused a problem in the in-vehicle system, and communication between the ECALL module and the PSAP server was cut 10 seconds after the collision. The last transmitted vehicle information was at a speed of 100 km/h and the direction of movement was exactly 45 degrees northeast.

It was raining at the time of the accident, and the speed increase/decrease step by weather information calculated from the PSAP server through the analysis of environmental information around the accident point is +10KM/h in 7 steps.

It was estimated that the vehicle was moving at a speed of 110 km/h at 45 degrees northeast.

The road surface condition at a radius of 30 degrees in the direction of 45 degrees northeast consists of unpaved lawns and gravel. The speed increase/decrease according to the road surface condition is applied in one step, -5KM/h.

The vehicle was estimated to travel at a speed of 105 km/h.

The environment in the direction of movement consists of a forest. According to the database data in the server, the speed increase/decrease step according to the environment is applied in 5 steps, -50KM/h.

It was estimated that the vehicle moved at a speed of 55 km/h.

It was confirmed through the database that there was no specific terrain change in the direction of vehicle movement. The vehicle moved at 55 KM/h in a 45 degree northeast direction from the incident point.

The vehicle is divided into the case of deceleration by stepping on the brake from the moment of the incident and the case of continuous acceleration, and the final position is estimated according to the increase or decrease in speed.

The driver applied the brake at the time of the accident and deceleration was determined through vehicle information, and the estimated location of the final vehicle was estimated to be 500m from the accident point.

4 is a flowchart illustrating a process for estimating the location of an accident vehicle according to an embodiment of the present invention.

Normally, the vehicle information analysis unit 121 of the PSAP server 120 communicates with the eCall module 110 of the vehicle to collect vehicle information from the vehicle information transmission unit 112 (S405).

When it is determined that an accident has occurred in the vehicle by the accident determination unit 111 (S410), the vehicle information analysis unit 121 performs a process of estimating the location of the vehicle using the vehicle information last received from the vehicle. (S415).

First, the vehicle information analysis unit 121 determines whether there is a connectable vehicle around the accident point (S420). When it is determined that there is a connectable vehicle around the accident point, the vehicle information analysis unit 121 determines whether the final location of the accident vehicle is possible ( S425 ). If it is determined that the final location of the accident vehicle can be confirmed, the vehicle information analysis unit 121 determines the final location of the accident vehicle based on the information ( S460 ). On the other hand, if it is determined that the final location of the accident vehicle cannot be confirmed or there is no connectable vehicle near the accident point, the vehicle information analysis unit 121 first estimates the current location of the vehicle by analyzing the finally received vehicle information. do (S430).

Thereafter, the vehicle information analysis unit 121 secondarily estimates the current location of the vehicle by applying the weather information of the accident point (S435).

Thereafter, the vehicle information analysis unit 121 determines whether there is an environmental factor affecting the movement of the vehicle on the movement path to the second estimated current location of the vehicle ( S440 ). If it is determined that there is an environmental factor on the moving path, the vehicle information analysis unit 121 applies the environmental factor to thirdly estimate the current location of the vehicle ( S445 ). Thereafter, the vehicle information analysis unit 121 inquires the accident history by using the third estimated current location of the vehicle as an accident occurrence point (S450). On the other hand, when it is determined that there is no environmental factor on the moving path, the vehicle information analysis unit 121 continuously performs step S450.

After step S450, the vehicle information analysis unit 121 selects a candidate group for an estimated location of the vehicle based on the accident history inquiry result at the accident point (S455). Thereafter, the vehicle information analysis unit 121 determines the final location of the accident vehicle (S460).

An embodiment of the present invention has been described above with reference to FIGS. 1 to 4 . Hereinafter, a preferred embodiment of the present invention that can be inferred from such an embodiment will be described. 5 is a block diagram schematically illustrating an accident vehicle location estimation system according to a preferred embodiment of the present invention.

According to FIG. 5 , the accident vehicle location estimation system 500 includes an eCall module 510 and a PSAP server 520 .

The eCall module 510 is mounted on a vehicle and includes a vehicle accident determination unit 511 , a first power supply unit 512 , and a first main control unit 513 .

The first power supply unit 512 performs a function of supplying power to each component constituting the eCall module 510 . The first main control unit 513 performs a function of controlling the overall operation of each component constituting the eCall module 510 . Considering that the eCall module 510 is mounted on a vehicle, receives power from a vehicle battery, and can be controlled by an MCU, ECU, etc., in this embodiment, the first power supply unit 512 and the first main control unit 513 are not provided. it's free even if you don't

The vehicle accident determination unit 511 performs a function of determining whether the own vehicle is an accident vehicle. If it is determined that the vehicle accident determination unit 511 is an accident vehicle, the vehicle information stored in the vehicle at the previous time is transmitted first, and the vehicle information acquired by the sensors installed in the vehicle at the current time is transmitted later. can

The PSAP server 520 is provided in a Public Safety Answering Point (PSAP), and includes a vehicle information collection unit 521 , a current location estimation unit 522 , a rescue request unit 523 , a second power supply unit 525 , and a second power supply unit 525 . and a main control unit 526 .

The second power supply unit 525 performs a function of supplying power to each component constituting the PSAP server 520 . The second main control unit 526 performs a function of controlling the overall operation of each component constituting the PSAP server 520 .

The vehicle information collection unit 521 performs a function of collecting vehicle information acquired by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point. In the above, the vehicle information stored at the previous time means vehicle information stored in the memory after being acquired by the sensors at the previous time.

The current location estimator 522 performs a function of estimating the current location of the accident vehicle based on vehicle information.

The current location estimator 522 may use previous location information of the accident vehicle, speed information of the accident vehicle, and movement direction information of the accident vehicle as vehicle information.

The current location estimator 522 may further use environmental information of a place where the accident vehicle is located or driving information of another vehicle located within a predetermined distance from the accident vehicle as vehicle information.

In the present embodiment, the current location estimator 522 determines the location of the accident vehicle from image information acquired by a camera mounted on the accident vehicle, weather information acquired by a temperature sensor, a humidity sensor, and an atmospheric pressure sensor mounted on the accident vehicle. It is possible to obtain environmental information of the place.

In this embodiment, the vehicle information stored at the previous time includes previous location information of the accident vehicle, speed information of the accident vehicle, movement direction information of the accident vehicle, etc., and the vehicle information obtained at the current time includes environmental information of the location where the accident vehicle is located. , and driving information of another vehicle located within a predetermined distance from the accident vehicle.

The current location estimator 522 may correct speed information of the accident vehicle using environmental information or driving information of another vehicle, and may use the corrected speed information of the accident vehicle when estimating the current location of the accident vehicle.

The current location estimator 522 receives at least one of information about the state of the road surface on which the accident vehicle has driven, information on obstacles located within a predetermined distance from the accident vehicle, and information on the topography in front of the accident vehicle as environmental information. Available.

In the present embodiment, the environmental information of the place where the accident vehicle is located may be vehicle information stored at a previous point in time. For example, this may correspond to state information of a road surface on which the accident vehicle has driven.

The rescue requesting unit 523 performs a function of requesting rescue of a person who occupies the vehicle based on the current location of the accident vehicle.

The PSAP server 520 may further include an accident type estimation unit 524 .

The accident type estimating unit 524 performs a function of estimating the type of accident occurring in the accident vehicle based on the environmental information of the place where the accident vehicle is located.

The accident type estimator 524 may estimate the type of accident based on basic information and option information obtained from the accident vehicle. The accident type estimation unit 524 may include a basic information acquisition unit, an option information acquisition unit, and an accident reconstruction unit in consideration of this point.

The basic information acquisition unit performs a function of acquiring basic information from the accident vehicle.

The option information acquisition unit performs a function of acquiring option information including information on the last and previous received vehicle information and information on a person who occupies the vehicle based on the time when the vehicle accident occurs.

The MSD message includes ID, Message Identifier, Automatic activation status, VIN, fuel type, time, vehicle location, vehicle direction, nearby vehicle location, number of occupants, optional data, and the like. Basic information includes ID, Message Identifier, automatic activation status, VIN, fuel type, time, vehicle location, vehicle direction, nearby vehicle location, number of passengers, and the like, and optional information includes optional data.

The option information acquisition unit acquires vehicle speed, vehicle acceleration, vehicle steering angle, and shock amount for each vehicle location as information about the vehicle. It is possible to obtain a location, whether each occupant is wearing a seat belt, and whether an airbag is activated.

The accident reconstruction unit performs a function of estimating the type of vehicle accident and the current situation of the person in the vehicle based on the option information.

The accident reconstruction unit estimates the type of vehicle accident and the current situation of the occupant in the vehicle based on the results obtained by simulating the vehicle accident with option information, or determines the type of vehicle accident and the type of vehicle accident based on option information and information stored in a pre-built database. It is possible to estimate the current situation of the person in the vehicle.

When estimating the type of vehicle accident based on the result obtained by simulating the vehicle accident with the optional information, the accident reconstruction unit may include a driving information acquisition unit, an impact amount acquisition unit, a damage degree calculation unit, and an accident type determination unit.

The driving information acquisition unit performs a function of acquiring driving information of the vehicle including the vehicle's speed, acceleration, and steering angle acquired at the time of the occurrence of the vehicle accident, the previous time, and the subsequent time, respectively, as information about the vehicle.

The impulse acquisition unit performs a function of acquiring the amount of impact for each location of the vehicle by using a sensor attached to each surface of the vehicle.

The damage degree calculator performs a function of calculating the degree of deformation of the impact point and the impact point of the vehicle, which is determined to have received an impact greater than or equal to a reference value by comparing the amounts of impact at different points of the vehicle.

The accident type determination unit performs a function of determining the type of the vehicle accident based on the driving information of the vehicle, the impact point of the vehicle, and the degree of deformation of the impact point.

When estimating the current situation of a person riding in the vehicle based on a result obtained by simulating a vehicle accident with optional information, the accident reconstruction unit may include an occupant information acquisition unit, an impact amount acquisition unit, and an occupant situation estimation unit.

The occupant information acquisition unit performs a function of acquiring occupant information including the physical condition of each occupant, the boarding position of each occupant, whether each occupant is wearing a seat belt, and whether or not the airbag is activated as information about the occupant of the vehicle. .

The impulse acquisition unit performs a function of acquiring the amount of impact for each location of the vehicle by using a sensor attached to each surface of the vehicle.

The occupant situation estimating unit performs a function of estimating the current situation of a person in the vehicle based on the occupant information and the amount of impact for each location.

When the PSAP server 520 further includes an accident type estimation unit 524, the rescue request unit 523 performs a function of generating a rescue activity guideline based on the type of vehicle accident and the current situation of a person occupant in the vehicle. can do.

Also, the rescue request unit 523 may include a rescue vehicle detection unit and a rescue activity request unit.

The rescue vehicle detection unit detects the first rescue vehicle located at the closest distance based on the location of the point where the vehicle accident occurred, or is most It performs a function of detecting a second rescue vehicle located at a close distance.

The rescue operation request unit transmits the location of the accident site, the type of vehicle accident, the current situation of the person in the vehicle, and rescue operation instructions to the terminal mounted on the first rescue vehicle or to the terminal of the person riding the first rescue vehicle. perform the function Alternatively, the rescue activity request unit 580 is a terminal mounted on the second rescue vehicle or a terminal of a person riding the second rescue vehicle. It performs the function of transmitting rescue action instructions.

The accident vehicle location estimation system 500 described above may operate when the current location of the accident vehicle cannot be obtained using a Global Navigation Satellite System (GNSS).

Next, an operation method of the accident vehicle location estimation system 500 will be described. 6 is a flowchart schematically illustrating a method for estimating the location of an accident vehicle according to a preferred embodiment of the present invention.

First, the vehicle information collection unit 521 collects vehicle information acquired by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point (S610 and S620). In this embodiment, steps S610 and S620 may be performed either first or both at the same time.

Thereafter, the current location estimator 522 estimates the current location of the accident vehicle based on the vehicle information (S630).

Thereafter, the rescue request unit 523 requests a rescue for a person who is in the vehicle based on the current location of the accident vehicle (S640).

Meanwhile, before step S610 or step S620 , the vehicle accident determination unit 511 may determine whether the own vehicle is an accident vehicle.

Meanwhile, before step S640, the accident type estimating unit 524 may estimate the type of accident occurring in the accident vehicle based on the environmental information of the place where the accident vehicle is located. This step may be performed simultaneously with step S630, and may be performed between steps S610/S620 and step S630 or performed between steps S630 and S640.

Even if all the components constituting the embodiment of the present invention described above are described as being combined or operated in combination, the present invention is not necessarily limited to this embodiment. That is, within the scope of the object of the present invention, all the components may operate by selectively combining one or more. In addition, although all the components may be implemented as one independent hardware, some or all of the components are selectively combined to perform some or all of the functions of the combined hardware in one or a plurality of hardware program modules It may be implemented as a computer program having In addition, such a computer program is stored in a computer readable media such as a USB memory, a CD disk, a flash memory, etc., read and executed by the computer, thereby implementing the embodiment of the present invention. The computer program recording medium may include a magnetic recording medium, an optical recording medium, a carrier wave medium, and the like.

In addition, all terms including technical or scientific terms have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs, unless otherwise defined in the detailed description. Terms commonly used, such as those defined in the dictionary, should be interpreted as being consistent with the contextual meaning of the related art, and are not interpreted in an ideal or excessively formal meaning unless explicitly defined in the present invention.

The above description is merely illustrative of the technical idea of the present invention, and those of ordinary skill in the art to which the present invention pertains may make various modifications, changes and substitutions within the scope without departing from the essential characteristics of the present invention. will be. Accordingly, the embodiments disclosed in the present invention and the accompanying drawings are intended to explain, not to limit the technical spirit of the present invention, and the scope of the technical spirit of the present invention is not limited by these embodiments and the accompanying drawings. . The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

Claims (15)

a vehicle information collection unit that collects vehicle information acquired by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point;
a current location estimator for estimating a current location of the accident vehicle based on the vehicle information; and
A rescue request unit for requesting rescue of a person who occupies the vehicle based on the current location of the accident vehicle
including,
An accident type estimating unit for estimating the type of accident that occurred in the accident vehicle based on the environmental information of the place where the accident vehicle is located
Accident vehicle location estimation system, characterized in that it further comprises. The method of claim 1,
The current location estimating unit Accident vehicle location estimation system, characterized in that using the previous location information of the accident vehicle, speed information of the accident vehicle, and movement direction information of the accident vehicle as the vehicle information. 3. The method of claim 2,
The accident vehicle location estimation system, characterized in that the current location estimation unit further uses environmental information of a place where the accident vehicle is located or driving information of another vehicle located within a predetermined distance from the accident vehicle as the vehicle information. 4. The method of claim 3,
The current location estimator corrects the speed information of the accident vehicle using the environment information or the driving information of the other vehicle, and uses the corrected speed information of the accident vehicle when estimating the current location of the accident vehicle Accident vehicle location estimation system. 4. The method of claim 3,
The current location estimating unit is the environment information, at least one of information on the state of the road surface on which the accident vehicle travels, information on obstacles located within a predetermined distance from the accident vehicle, and information on the front topography of the accident vehicle. Accident vehicle location estimation system, characterized in that using. The method of claim 1,
Vehicle accident determination unit for determining whether the own vehicle is the accident vehicle
Accident vehicle location estimation system, characterized in that it further comprises. 7. The method of claim 6,
When the vehicle accident determination unit determines that the vehicle is the accident vehicle, the vehicle information stored in the vehicle at the previous time is transmitted first, and the vehicle information acquired by the sensors installed in the vehicle at the current time is transmitted. Accident vehicle location estimation system, characterized in that it is transmitted later. delete The method of claim 1,
The accident vehicle location estimation system is an accident vehicle location estimation system, characterized in that it operates when the current location of the accident vehicle cannot be obtained using a Global Navigation Satellite System (GNSS). collecting vehicle information acquired by sensors mounted on the accident vehicle at a current time point or stored in the accident vehicle at a previous time point;
estimating a current location of the accident vehicle based on the vehicle information; and
Requesting a rescue for a person who occupies the vehicle based on the current location of the accident vehicle
including,
after the collecting and before the estimating, or after the estimating and before the requesting,
estimating the type of accident that occurred in the accident vehicle based on the environmental information of the place where the accident vehicle is located
Accident vehicle location estimation method further comprising a. 11. The method of claim 10,
The estimating includes using previous location information of the accident vehicle, speed information of the accident vehicle, and movement direction information of the accident vehicle as the vehicle information. 12. The method of claim 11,
The estimating step further uses environmental information of a place where the accident vehicle is located or driving information of another vehicle located within a predetermined distance from the accident vehicle as the vehicle information. 11. The method of claim 10,
Prior to the collecting step,
Determining whether the own vehicle is the accident vehicle
Accident vehicle location estimation method further comprising a. delete 11. The method of claim 10,
The accident vehicle location estimation method is an accident vehicle location estimation method, characterized in that it is performed when the current location of the accident vehicle cannot be obtained using a Global Navigation Satellite System (GNSS).

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