KR20210128563A - Method and apparatus for providing driving information by using object recognition of cloud - Google Patents

Abstract

The present invention relates to a method and an apparatus for providing driving information. The method for providing driving information according to one embodiment comprises the following steps: collecting first information on the driving environment of a vehicle using at least one sensor installed in the vehicle; converting at least a part of the first information using a conversion method for reducing size of the first information; generating second information on an object recognized in the driving environment based on the converted first information; at a first time point, providing first driving information to a driver based on the second information; transmitting the first information and the second information; receiving third information on the object recognized in the driving environment based on the first information and the second information; and at a second time point after the first time point, providing the second information to the driver based on the third information. The present invention process the information individually at a vehicle terminal and a cloud server to provide different driving information at different time points.

Description

Method and apparatus for providing driving information using road object recognition in the cloud

The present invention relates to a method and an apparatus for providing driving information using road object recognition of a cloud server.

Advanced Driver Assistance Systems (ADAS) recognizes the driving environment using detection sensors, GPS, communication, and imaging devices in the vehicle terminal, and controls the vehicle or It is a driver assistance system that provides information about the situation to the driver through sounds, lights, and vibrations.

A typical ADAS system is a parking assistance system that detects an object using sensors such as cameras installed on the front and rear of the vehicle, and informs the driver with a warning sound to make parking easier. In addition, an automatic steering control system that controls vehicle driving based on the speed and inter-vehicle distance set by the driver, a collision avoidance system that controls the brake by detecting the risk of a collision accident, and lane departure information by detecting the driving direction and lane of the vehicle Lane departure warning system that provides

Recently, the development of autonomous driving technology for automobiles that can completely replace drivers is emerging as a key technology in the industry, and the demand for the development of ADAS systems, which is the basis of autonomous vehicles, is rapidly increasing.

The embodiment relates to a technology for providing different driving information generated by processing information collected through a sensor installed in a vehicle in a vehicle terminal and a cloud server, respectively, to a driver at different times.

According to an embodiment, driving information that needs to be provided quickly is converted using a conversion technique that reduces the size of the collected information and then processed in the vehicle terminal, thereby efficiently providing driving information according to characteristics related to urgency can do.

According to one aspect, a method for providing driving information includes collecting first information about a driving environment of the vehicle through at least one sensor installed in the vehicle; transforming at least a portion of the first information by using a transformation technique for reducing the size of the first information; generating second information about an object recognized in the driving environment based on the converted first information; at a first time point, providing first driving information to a driver based on the second information; transmitting the first information and the second information to a server; receiving third information about an object recognized in the driving environment based on the first information and the second information; and providing second driving information to the driver based on the third information at a second time point after the first time point.

The converting of at least a portion of the first information may include converting a high-resolution image included in the first information into a low-resolution image.

The generating of the second information may include generating second information about an object recognized in the driving environment by analyzing the converted first information based on Advanced Driver Assistance Systems (ADAS). .

The generating of the second information may include: analyzing an image obtained by converting an image collected through a camera installed in the vehicle included in the first information to a low resolution, and recognizing an object included in the image; and extracting second information about the object according to a predetermined criterion based on the recognized object.

The predetermined criterion may be determined based on at least one of a type of the recognized object, a location of the recognized object, a speed of the recognized object, and a distance between the recognized object and the vehicle.

Transmitting the first information and the second information to the server may further include processing the first information.

The first information may include an image including an object collected through a camera installed in a vehicle; and information about an object collected through a GPS sensor installed in the vehicle.

The second information may include information about at least one of a vehicle, a pedestrian, and a lane recognized in the driving environment.

The first driving information may include information on safe driving based on information on a vehicle ahead, information on pedestrians, and information on lanes.

The third information may include information on a map updated based on the first information and the second information, and the information on the map may include local dynamic map (LDM) information.

The second driving information may include map information displayed to the user based on the third information.

The server may include a cloud server.

An apparatus for providing driving information according to one side collects first information about a driving environment of the vehicle through at least one sensor installed in the vehicle, and uses a conversion technique for reducing the size of the first information, the first information convert at least a part of the information, generate second information about an object recognized in the driving environment based on the converted first information, and, at a first time point, give the driver a first driving based on the second information providing information, transmitting the first information and the second information to a server, receiving third information about an object recognized in the driving environment based on the first information and the second information, and at least one processor configured to provide second driving information to the driver based on the third information at a second time point after the first time point.

When converting at least a portion of the first information, the processor may convert a high-resolution image included in the first information into a low-resolution image.

When generating the second information, the processor may generate second information about an object recognized in the driving environment by analyzing the converted first information based on Advanced Driver Assistance Systems (ADAS).

In generating the second information, the processor analyzes an image obtained by converting an image collected through a camera installed in the vehicle included in the first information to a low resolution to recognize an object included in the image, and Based on the recognized object, second information about the object may be extracted according to a predetermined criterion.

The processor may process the first information when transmitting the first information and the second information to the server.

1 is a view for explaining a method of providing driving information of a vehicle terminal according to an embodiment;
2 is a diagram for explaining information processing operations performed in a server and a vehicle terminal using image information as an example;
3 is a view for explaining specific operations performed in a vehicle terminal and a server according to an embodiment;

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, since various changes may be made to the embodiments, the scope of the patent application is not limited or limited by these embodiments. It should be understood that all modifications, equivalents and substitutes for the embodiments are included in the scope of the rights.

The terms used in the examples are used for description purposes only, and should not be construed as limiting. The singular expression includes the plural expression unless the context clearly dictates otherwise. In the present specification, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, but one or more other features It should be understood that this does not preclude the existence or addition of numbers, steps, operations, components, parts, or combinations thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the embodiment belongs. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and should not be interpreted in an ideal or excessively formal meaning unless explicitly defined in the present application. does not

In addition, in the description with reference to the accompanying drawings, the same components are given the same reference numerals regardless of the reference numerals, and the overlapping description thereof will be omitted. In the description of the embodiment, if it is determined that a detailed description of a related known technology may unnecessarily obscure the gist of the embodiment, the detailed description thereof will be omitted.

In addition, in describing the components of the embodiment, terms such as first, second, A, B, (a), (b), etc. may be used. These terms are only for distinguishing the component from other components, and the essence, order, or order of the component is not limited by the term. When it is described that a component is “connected”, “coupled” or “connected” to another component, the component may be directly connected or connected to the other component, but another component is between each component. It will be understood that may also be "connected", "coupled" or "connected".

Components included in one embodiment and components having a common function will be described using the same names in other embodiments. Unless otherwise stated, a description described in one embodiment may be applied to another embodiment, and a detailed description in the overlapping range will be omitted.

1 is a diagram for explaining a method of providing driving information to a vehicle terminal according to an exemplary embodiment. Here, the vehicle terminal refers to a device in which the method of providing driving information according to an embodiment is implemented.

Referring to FIG. 1 , in a method of providing driving information according to an embodiment, collecting first information about a driving environment of a vehicle 110 , converting at least a portion of the first information 120 , and in the driving environment Generating second information about the recognized object (130), providing first driving information to the driver based on the second information (140), transmitting the first information and the second information to a server; Receiving third information about an object recognized in the driving environment based on the first information and the second information ( 160 ) and providing second driving information to the driver based on the third information ( 170 ) do.

The step of collecting the first information 110 according to an embodiment is a step of collecting 110 first information about the driving environment of the vehicle through at least one sensor installed in the vehicle, and the first information is installed in the vehicle. An image including an object collected through a camera and information about an object collected through a GPS sensor installed in a vehicle may be included. In other words, step 110 according to an embodiment may correspond to a step of collecting information about the driving environment of the vehicle through sensors installed in the vehicle, such as a camera, GPS, radar, and lidar. For example, the location information of the vehicle through GPS and inertial sensors, image information of the driving environment through an image sensor such as a camera (eg, single camera, stereoscopic camera, omnidirectional camera, monocular camera, etc.), and distance sensor Through this, distance information between objects in the driving environment can be collected. In addition, various information about the vehicle's driving environment can be collected through various sensors such as radar (Radio Detection And Ranging; RADAR), Light Detection and Ranging (LIDAR), ultrasonic sensors, and infrared sensors.

The step of transforming at least a portion of the first information 120 according to an embodiment may correspond to a step of transforming at least a portion of the first information by using a conversion technique for reducing the size of the first information. The conversion technique for reducing the size of the first information may include various techniques such as a technique of compressing information to reduce the information capacity, a decoding technique of lowering the resolution of an image, and a technique of extracting some information from the collected information. For example, the method may include converting a high-resolution image included in the first information into a low-resolution image. Here, the high resolution and the low resolution are relative concepts of resolution, and an absolute standard is not set. That is, converting the high-resolution image included in the first information into the low-resolution image may mean lowering the resolution of the image collected through the camera.

By converting at least a portion of the first information using a conversion technique for reducing the size of the first information, the vehicle terminal may quickly perform an information processing operation on the partial information. For example, when image information is analyzed through image object recognition technology, the collected image information is converted into a low-resolution image, thereby reducing the load on image analysis processing in the vehicle terminal and accurately and quickly detecting objects in a short-range environment. can be performed In the case of an information processing operation for recognizing a small object in a remote environment, a high-resolution image may be required. It is possible to reduce the processing load of object recognition without significantly changing.

According to an embodiment, the vehicle terminal may convert a collected image into a low-resolution image and use it for object recognition in order to recognize objects such as pedestrians, vehicles, and lanes included in the driving environment. On the other hand, in the case of sign letters and portholes in the driving environment, high-resolution images are required for object recognition, so according to an embodiment, the collected high-resolution images are transmitted to the server, and information processing operation for object recognition in the server By allowing this to be performed, the image can be processed.

The generating 130 of the second information on the object recognized in the driving environment according to an embodiment corresponds to the step of generating second information about the object recognized in the driving environment based on the converted first information. can do. Step 130 according to an exemplary embodiment may include generating second information about an object recognized in a driving environment by analyzing the converted first information based on Advanced Driver Assistance Systems (ADAS). That is, the second information may include information obtained by analyzing the first information according to various ADAS technologies.

The object recognized in the driving environment may include a vehicle, a pedestrian, a lane, and the like. That is, the second information according to an embodiment may include information about at least one of a vehicle, a pedestrian, and a lane recognized in a driving environment. For example, the second information may include a location and/or speed of other vehicle(s) recognized in the driving environment, a location and/or speed of a pedestrian, and a location of a lane.

Step 130 according to an embodiment is a step of recognizing an object included in the image by analyzing an image obtained by converting an image collected through a camera installed in a vehicle included in the first information to a low resolution, and based on the recognized object Thus, the method may include extracting second information about the object according to a predetermined criterion. Here, the predetermined criterion may be determined based on at least one of the type of the recognized object, the position of the recognized object, the speed of the recognized object, and the distance to the recognized object. For example, if the location of a vehicle and another object such as a recognized pedestrian or another vehicle is closer than a threshold, and it is classified as an urgent situation that needs to control the operation of the vehicle, information about the location of the object or the speed of the vehicle Information indicating the need to control may be extracted as the second information.

At least some of the second information generated in step 130 according to an embodiment may be transmitted to the server. According to an embodiment, the second information may be transmitted to the server through a processing step such as extracting a part according to a predetermined criterion. The second information may be provided to the driver as driving information by being processed based on an information processing system such as ADAS together with the first information in the server.

The step of providing the first driving information to the driver 140 according to an embodiment may correspond to a step of providing the first driving information to the driver based on the second information at a first time point. In step 140 according to an embodiment, the first driving information is driving-related information based on the second information about an object recognized in the driving environment, for example, information that there is a pedestrian located close to the vehicle, the front Information on the position and speed of an object recognized in the driving environment, such as information on the distance to the vehicle, may be included, and driving such as the speed or direction of the vehicle is controlled in consideration of the relationship with the object recognized in the driving environment. It may contain information indicating the need to do so. The first driving information according to an exemplary embodiment may be provided to the driver through various methods such as a visual display and an audible signal. More specifically, information about the recognized object may be displayed through a display installed in the vehicle, and information about the recognized object may be notified through a speaker installed in the vehicle through a voice signal, a warning sound, and the like.

According to an exemplary embodiment, when it is recognized as an urgent situation in which it is necessary to quickly control driving, such as the speed or direction of the vehicle, based on the second information, first driving information corresponding to the recognized situation is provided to the driver can be For example, if the distance to the surrounding vehicle/pedestrian/lane boundary is less than or equal to a specific threshold or when the driving speed is greater than or equal to a specific threshold, it is recognized as an emergency situation, and the first driving indicating the need to control the driving speed or driving direction Information may be provided to the driver. Providing the driver with the first driving information indicating that the driving speed or the driving direction needs to be controlled may include controlling the speed and the driving direction of the vehicle. That is, the step of providing the first driving information to the driver 140 may include warning the driver of an emergency situation and controlling the driving of the vehicle.

Transmitting the first information and the second information to the server according to an embodiment may include processing 150 of the first information. That is, the first information transmitted to the server may correspond to the entire first information collected from the sensor, or may correspond to the processed information of the first information. Processing 150 of the first information according to an embodiment may include extracting a part from the collected first information according to a predetermined criterion. For example, information corresponding to image information may be extracted from the first information and transmitted to the server. In addition, the step 150 of processing the first information according to an embodiment may include a step of converting the first information, and converting the first information includes converting the form of the first information or compressing the first information. 1 It may mean performing various processing necessary to transmit information to the server. Although not shown in the drawings, according to an embodiment, the second information may also be transmitted to the server through a processing step such as a part of it being extracted or converted.

According to an embodiment, the step of receiving the third information on the object recognized in the driving environment based on the first information and the second information 160 may include the third information generated based on the first information and the second information in the server. It may correspond to a step of receiving information. The server according to an embodiment may include a cloud server.

According to a temporary embodiment, information processing that requires a high-complexity operation may be performed in the server. For example, the server may analyze a high-resolution image to recognize the letters of a sign included in the image, and perform information processing tasks such as storing and managing object recognition information and a large amount of information about the driving environment. In addition, the map can be updated using a large amount of information about the driving environment. Here, the map may include a precise map such as a local dynamic map (LDM). The precision map is a map provided to the driver at a level of detail similar to the actual driving environment, and information on the precision map is stored and managed by dividing it into a plurality of layers according to the sensitivity to time change. For example, geographical information of a road (eg, location, slope, curvature, etc.) is information that is not sensitive to time change, and the number of vehicles passing through a road is sensitive information to time change, so it is stored separately in different layers. and managed, time-sensitive information may be updated at regular intervals based on newly received information.

More specifically, the server may receive images and driving location information collected from a plurality of vehicle terminals through a camera. In addition, the server may recognize object information (eg, signs, traffic lights, etc.) from the image with deep learning artificial intelligence through pre-learned data. In addition, the location of the vehicle and the distance between the vehicle and the object are calculated through the driving location information received from the vehicle terminals to obtain the recognized location of the object, and the precise map may be updated by reflecting this on the precise map. In addition, information collected from the vehicle terminal or information generated through the information collected from the vehicle terminal may be transmitted to rear vehicles traveling on the same road or in the same lane in the same direction. For example, the server may receive sudden stop information from a specific vehicle terminal and transmit it to another vehicle terminal behind the specific vehicle.

That is, according to an embodiment, the vehicle terminal performs information processing with relatively low computational complexity to generate rapid driving information, and the server performs information processing with relatively high computational complexity based on a large amount of information. By doing so, detailed driving information can be generated. In other words, by processing the collected information by dividing the information processing operation for generating the driving information between the vehicle terminal and the server, driving information having different characteristics can be efficiently generated.

The step 170 of providing the second driving information to the driver according to an embodiment may correspond to a step of providing the second driving information to the driver based on the third information at a second time point after the first time point. . According to an exemplary embodiment, a first time point at which the first driving information is provided and a second time point at which the second driving information is provided are distinguished, and the first time point corresponds to a time point preceding the second time point. In other words, the first driving information generated by the vehicle terminal may be provided to the driver more quickly than the second driving information generated by the server. According to an embodiment, the information processing operation performed in the server and the information processing operation performed in the vehicle terminal are divided so that the driving information that needs to be quickly provided to the driver is generated in the vehicle terminal, and other driving information is generated in the server. can be That is, according to an embodiment, different driving information may be provided to the driver at different time points by processing the collected information by dividing the information processing operation for generating driving information between the vehicle terminal and the server.

2 is a diagram for explaining information processing operations performed by a server and a vehicle terminal using image information as an example.

The image information 200 shown in FIG. 2 may correspond to first information about the driving environment collected through a sensor installed in the vehicle. Referring to FIG. 2 , image information includes information about a pedestrian 201 , vehicles 211 , 212 , 213 , and a sign 221 . The collected image information may be converted to a low resolution according to step 120 according to an exemplary embodiment, and may be processed in the vehicle terminal. The vehicle terminal recognizes the pedestrian 201 and the vehicles 211 , 212 , and 213 from the image information 200 by performing an information processing operation on the image converted to a low resolution, and a second information regarding the recognized objects information can be generated. According to an exemplary embodiment, information about the sign 221 may not be generated in the vehicle terminal that processes the low-resolution image. In addition, in the vehicle terminal that processes the image converted to the low resolution, distant objects (eg, vehicle 212 and vehicle 213) may not be recognized.

According to an embodiment, the first driving information may be provided to the driver based on the second information regarding the positions of the vehicle 211 and the pedestrian 201 recognized according to the information processing operation of the vehicle terminal. For example, the first driving information includes information indicating that it is necessary to reduce the driving speed because the distance to the vehicle 211 is close or indicating that the driving speed needs to be decreased because the distance to the pedestrian 201 is close. information may be included.

According to an embodiment, the second information and the first information generated in the vehicle terminal may be transmitted to the server, and the third information may be generated through an information processing operation in the server. Referring to FIG. 2 , the server may receive image information 200 corresponding to first information and second information about vehicles 211 , 212 , 213 and pedestrians 201 generated in the vehicle. According to an embodiment, the server may generate third information about an object recognized in the driving environment based on the first information and the second information. For example, the third information generated by the server is updated based on the information about the sign, the image information, and the second information generated by recognizing information such as characters included in the sign 221 in the image information 200 . Map information of the driving environment may be included. The third information generated by the server may be transmitted to the vehicle terminal and provided to the driver as the second driving information. For example, information on a map included in the third information may be provided to the driver through the display.

3 is a diagram for explaining specific operations performed in a vehicle terminal and a server according to an embodiment.

More specifically, the first information converted in step 120 according to an embodiment is image information, and the object recognized in step 130 is an emergency object, for example, an operation performed in a vehicle terminal and a server is described. do.

Referring to FIG. 3 , image information collected in the vehicle terminal may be converted into a low-resolution image and processed in the vehicle terminal. The vehicle terminal may perform an information processing operation to recognize an emergency object from low-resolution image information, and may generate second information about the emergency object. The second information generated by the vehicle terminal is based on ADAS such as a lane departure warning (LDW), a lane keeping system (LKS), and a lane keeping assistance system (LKAS) based on the first information By analyzing it, it can be generated.

The second information according to an embodiment may include information about at least one of a vehicle, a pedestrian, and a lane recognized in the driving environment analyzed based on the ADAS. For example, very fast emergency object recognition is required when an emergency situation occurs, such as when a nearby vehicle in front makes a sudden stop or when a pedestrian suddenly appears in front while driving.

According to an embodiment, the vehicle terminal generates second information about an object recognized in a driving environment according to a predetermined criterion or extracts a part of the generated second information according to a predetermined criterion, thereby providing the first driving information can provide The predetermined criterion may include, for example, a criterion according to an urgent situation in which it is necessary to quickly control the driving. More specifically, a case where the distance between the vehicle and the lane and/or the distance between the vehicle and another vehicle is less than or equal to a specific threshold may be determined as an emergency situation, and the emergency object may correspond to an object whose distance from the vehicle is less than or equal to a specific threshold. can The vehicle terminal may generate second information about the emergency object, and provide a signal for informing the driver to reduce the speed of the vehicle as the first driving information based on the second information. The vehicle terminal according to an embodiment may assist driving by providing the first driving information to the driver. For example, the vehicle terminal may notify the driver that an object having a close distance to the vehicle exists as a warning, and may control vehicle driving so that the distance between the vehicle and the object increases by more than a specific threshold.

That is, the first driving information may include information on safe driving based on information on the vehicle ahead, information on pedestrians, and information on lanes. For example, there is information on lane departure when a vehicle leaves a lane in a straight-line situation, information on pedestrian recognition when a pedestrian crosses without permission in a crosswalk, and the like.

According to an embodiment, the server may communicate with the vehicle terminal to receive the first information and the second information. The server may process the received information to perform an information processing operation. For example, by processing driving information such as a high-definition image included in the first information and location/direction included in the second information, recognition of an object in the high-definition image to generate information about the object, and information about the object It is possible to perform information processing operations such as management. More specifically, by analyzing the high-definition image in the cloud server, it is possible to recognize the letters in the sign (for example, numbers about the speed limit, the letters prohibiting entry, etc.), and to recognize distant objects faster than low-quality images. have. In addition, the cloud server may transmit emergency information (eg, information about pedestrians crossing without permission) recognized by the ADAS terminal of a specific vehicle in front to the vehicle behind.

The server according to an embodiment may update a precision map based on the received information and/or new information generated by processing the received information, or determine a driving situation according to a predetermined criterion, thereby relating to an object in the driving environment. Third information may be generated. For example, the cloud server may transmit emergency information (eg, information about pedestrians crossing without permission) recognized by the ADAS terminal of a specific vehicle in front to the vehicle in the rear.

The vehicle terminal according to an embodiment may receive the third information from the server and provide the driver with the second driving information based on the third information. The second driving information may include information on an updated map, and the like.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. , or may be permanently or temporarily embody in a transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

As described above, although the embodiments have been described with reference to the limited drawings, those skilled in the art may apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (20)

collecting first information about a driving environment of the vehicle through at least one sensor installed in the vehicle;
transforming at least a portion of the first information by using a transformation technique for reducing the size of the first information;
generating second information on an object recognized in the driving environment based on the converted first information;
at a first time point, providing first driving information to a driver based on the second information;
transmitting the first information and the second information to a server;
receiving third information about an object recognized in the driving environment based on the first information and the second information; and
providing second driving information to the driver based on the third information at a second time point after the first time point;
A method of providing driving information comprising a.
According to claim 1,
The step of transforming at least a part of the first information
converting a high-resolution image included in the first information into a low-resolution image
containing
How to provide driving information.
According to claim 1,
The step of generating the second information
generating second information about an object recognized in the driving environment by analyzing the converted first information based on ADAS (Advanced Driver Assistance Systems);
containing
How to provide driving information.
According to claim 1,
The step of generating the second information
recognizing an object included in the image by analyzing an image obtained by converting an image collected through a camera installed in the vehicle included in the first information to a low resolution; and
extracting second information about the object according to a predetermined criterion based on the recognized object
containing
How to provide driving information.
5. The method of claim 4,
The predetermined criterion is
determined based on at least one of a type of the recognized object, a location of the recognized object, a speed of the recognized object, and a distance between the recognized object and the vehicle
How to provide driving information.
According to claim 1,
The step of transmitting the first information and the second information to the server
processing the first information
further comprising
How to provide driving information.
According to claim 1,
The first information is
an image including an object collected through a camera installed in a vehicle; and
Information about objects collected through GPS sensors installed in the vehicle
comprising at least one of
How to provide driving information.
According to claim 1,
The second information is
Including information about at least one of a vehicle, a pedestrian, and a lane recognized in the driving environment
How to provide driving information.
According to claim 1,
The first driving information is
Information on safe driving based on information on vehicles in front, information on pedestrians, and information on lanes.
How to provide driving information.
According to claim 1,
The third information is
information transmitted from another vehicle terminal in the driving environment to the server; and
Information on a map updated based on the first information and the second information
comprising at least one of
The information about the map includes LDM (local dynamic map) information
How to provide driving information.
According to claim 1,
The second driving information is
Map information displayed to the user based on the third information
containing
How to provide driving information.
According to claim 1,
The server includes a cloud server
How to provide driving information.
A computer program stored on a medium in combination with hardware to execute the method of any one of claims 1 to 12.
Collecting first information about the driving environment of the vehicle through at least one sensor installed in the vehicle, converting at least a portion of the first information using a conversion technique that reduces the size of the first information, and converting the first information generating second information about an object recognized in the driving environment based on the obtained first information, and providing first driving information to a driver based on the second information at a first time point, and the first information and transmitting the second information to the server, receiving third information about an object recognized in the driving environment based on the first information and the second information, and at a second time point after the first time point, at least one processor to provide second driving information to the driver based on the third information
Driving information providing device comprising a.
15. The method of claim 14,
the processor
In converting at least some of the first information,
converting a high-resolution image included in the first information into a low-resolution image
Driving information providing device.
15. The method of claim 14,
the processor
In generating the second information,
By analyzing the converted first information based on ADAS (Advanced Driver Assistance Systems) to generate second information about an object recognized in the driving environment
Driving information providing device.
15. The method of claim 14,
the processor
In generating the second information,
The image collected through the camera installed in the vehicle included in the first information is analyzed to a low-resolution image, the object included in the image is recognized, and based on the recognized object, according to a predetermined standard extracting second information about the object
Driving information providing device.
18. The method of claim 17,
The predetermined criterion is
determined based on at least one of a type of the recognized object, a location of the recognized object, a speed of the recognized object, and a distance between the recognized object and the vehicle
Driving information providing device.
15. The method of claim 14,
the processor
In transmitting the first information and the second information to the server,
processing the first information
Driving information providing device.
15. The method of claim 14,
The server includes a cloud server
Driving information providing device.

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