Method, apparatus, server, and computer program for collision accident prevention

1. A collision accident prevention method performed by a computing device, the collision accident prevention method comprising:

predicting, based on data on a three-dimensional (3D) space corresponding to a caution zone, motion of each of at least one pedestrian in the caution zone and at least one vehicle in the caution zone;

determining, based on the predicted motion, a degree of risk of collision between the at least one pedestrian and the at least one vehicle; and

providing a message corresponding to the determined degree of risk of collision to the at least one vehicle,

wherein the predicting comprises:

based on the data on the 3D space corresponding to the caution zone, identifying each of the at least one pedestrian and the at least one vehicle;

analyzing each motion pattern by tracking each of the at least one pedestrian and the at least one vehicle; and

based on the analyzed motion pattern, predicting motion of each of the at least one pedestrian and the at least one vehicle.

2. The collision accident prevention method of claim 1 , wherein the providing comprises:

determining that there are a plurality of different degrees of risk of collision;

generating different messages corresponding to the different degrees of risk of collision; and

transmitting the generated different messages to the at least one vehicle.

3. The collision accident prevention method of claim 2 , wherein the generating comprises:

classifying the different degrees of risk of collision into a plurality of groups; and

generating the different messages to respectively correspond to the classified plurality of groups.

4. The collision accident prevention method of claim 2 , wherein the transmitting comprises, based on a location of the at least one vehicle, transmitting the generated different messages to the at least one vehicle.

5. The collision accident prevention method of claim 2 , wherein the transmitting comprises, by using identification information for identifying the at least one vehicle as destination information of each of the generated different messages, transmitting the generated different messages to the at least one vehicle.

6. The collision accident prevention method of claim 1 , wherein the providing comprises, based on the determined degree of risk of collision, providing different messages to a collidable vehicle whose degree of risk of collision with the at least one pedestrian is equal to or higher than a certain threshold and a vehicle subsequent to the collidable vehicle.

7. The collision accident prevention method of claim 6 , wherein the providing comprises providing a collision warning and deceleration instruction message to the collidable vehicle, and providing a deceleration notice message for notifying beforehand deceleration of a forward vehicle to the subsequent vehicle.

8. The collision accident prevention method of claim 1 , wherein the providing comprises:

determining that there is a degree of risk of collision equal to or higher than a certain threshold from among the determined degrees of risk of collision; and

providing a message corresponding to a collision situation to a collidable vehicle whose degree of risk of collision is equal to or higher than the certain threshold.

9. The collision accident prevention method of claim 1 , further comprising transmitting a message corresponding to a highest degree of risk of collision from among the determined degrees of risk of collision to a display device or a traffic light installed in the caution zone.

10. A collision accident prevention apparatus comprising:

a sensor unit configured to detect a three-dimensional (3D) space corresponding to a caution zone;

a communication interface device;

a memory storing instructions; and

a processor configured to execute the instructions to:

predict, based on data on the 3D space detected by the sensor unit, motion of each of at least one pedestrian in the caution zone and at least one vehicle in the caution zone,

determine, based on the predicted motion, a degree of risk of collision between the at least one pedestrian and the at least one vehicle,

provide a message corresponding to the determined degree of risk of collision to the at least one vehicle through the communication interface device,

based on the data on the 3D space corresponding to the caution zone, identify each of the at least one pedestrian and the at least one vehicle,

analyze each motion pattern by tracking each of the at least one pedestrian and the at least one vehicle, and

based on the analyzed motion pattern, predict motion of each of the at least one pedestrian and the at least one vehicle.

11. The collision accident prevention apparatus of claim 10 , wherein the processor is further configured to:

determine that there are a plurality of different degrees of risk of collision,

generate different messages corresponding to the different degrees of risk of collision, and

transmit the generated different messages to the at least one vehicle through the communication interface device.

12. The collision accident prevention apparatus of claim 10 , wherein the processor is further configured to, based on the determined degree of risk of collision, provide different messages to a collidable vehicle whose degree of risk of collision with the at least one pedestrian is equal to or higher than a certain threshold and a vehicle subsequent to the collidable vehicle.

13. The collision accident prevention apparatus of claim 10 , wherein the processor is further configured to:

determine that there is a degree of risk of collision equal to or higher than a certain threshold from among the determined degrees of risk of collision, and

provide a message corresponding to a collision situation to a collidable vehicle whose degree of risk of collision is equal to or higher than the certain threshold.

14. A collision accident prevention server comprising:

a communication interface device;

a memory storing instructions; and

a processor configured to execute the instructions to:

predict, based on data on a three-dimensional (3D) space corresponding to a caution zone obtained through the communication interface device, motion of each of at least one pedestrian in the caution zone and at least one vehicle in the caution zone,

determine, based on the predicted motion, a degree of risk of collision between the at least one pedestrian and the at least one vehicle,

provide a message corresponding to the determined degree of risk of collision to the at least one vehicle through the communication interface device,

based on the data on the 3D space corresponding to the caution zone, identify each of the at least one pedestrian and the at least one vehicle,

analyze each motion pattern by tracking each of the at least one pedestrian and the at least one vehicle, and

based on the analyzed motion pattern, predict motion of each of the at least one pedestrian and the at least one vehicle.

15. A non-transitory computer readable recording medium storing instructions which, when executed by one or more processors, cause the one or more processors to perform the method of claim 1 .