Vehicle control system and method using risk analysis of a road section and beacon data

1 . A vehicle control system comprising:

a processor configured to process data related to driving of a vehicle; and

a vehicle controller configured to control the driving of the vehicle,

wherein the processor is configured to:

receive a plurality of images captured by cameras of a plurality of vehicles while the plurality of vehicles travels along a road,

identify road surface features associated with the road from the plurality of images,

simplify line representations of the road surface features,

identify a plurality of sections of a road based on the simplified line representations,

generate a sparse map representing the plurality of sections,

identify a risk section among the plurality of sections based on section information of each of the plurality of sections, the section information including at least one movement depiction of the vehicle and at least one road feature,

analyze characteristics of the risk section of the road corresponding to a low-energy Bluetooth signal received from a communication with a beacon installed in the risk section of the road and classify the risk section into a high risk section and a low/medium risk section, based on the sparse map including an installation position of the beacon, and characteristic information of the risk section, wherein the high risk section includes an accident-prone section and the low/medium risk section includes an intersection section and a long term construction section,

when the vehicle is approaching or arriving at the high risk section of the risk section, the processor is configured to control the vehicle controller to reduce a speed in a longitudinal direction of the vehicle to a predefined speed or lower,

the processor is further configured to identify a target section corresponding to an area where a satellite signal is not received among the plurality of sections, based on the identification of the target section, the processor is further configured to control at least one operation of the vehicle, at least one operation including tunnel driving, window control operation and air cleaning function control.

2 . The system of claim 1 , wherein the vehicle controller is configured to control the driving of the vehicle based on the characteristics of the risk section.

3 . The system of claim 1 , wherein the risk section includes:

the high risk section requiring driving mode adjustment; and

the low/medium risk section requiring visual and/or audible notification to a driver via a warning mode.

4 . The system of claim 1 , wherein the processor is configured to include a latitude value and a longitude value of the beacon installed in the risk section into the sparse map.

5 . The system of claim 1 , wherein the processor is configured to determine whether the vehicle is approaching the risk section, based on a position information including a latitude value and a longitude value of the beacon received by the vehicle and information about the risk section included in the signal transmitted from the beacon.

6 . The system of claim 1 , wherein when the vehicle is approaching the risk section, the processor is configured to provide a notification to a driver, based on the characteristics of the risk section.

7 . A method for driving a vehicle using a vehicle control system, the method comprising:

receiving a plurality of images captured by cameras of a plurality of vehicles while the plurality of vehicles travels along a road,

identifying road surface features associated with the road from the plurality of images,

simplifying line representations of the road surface features,

identifying a plurality of sections of a road based on the simplified line representations,

generating a sparse map representing the plurality of sections,

identifying a risk section among the plurality of sections based on section information of each of the plurality of sections, the section information including at least one movement depiction of the vehicle and at least one road feature,

analyzing characteristics of the risk section of the road corresponding to a low-energy Bluetooth signal received from a communication with a beacon installed in the risk section of the road and classifying the risk section into a high risk section and a low/medium risk section, based on the sparse map including an installation position of the beacon, and characteristic information of the risk section, wherein the high risk section includes an accident-prone section and the low/medium risk section includes an intersection section and a long term construction section; and

when the vehicle is approaching or arriving at the high risk section of the risk section, reducing a speed in a longitudinal direction of the vehicle to a predefined speed or lower,

the method further comprising identifying a target section corresponding to an area where a satellite signal is not received among the plurality of sections, based on the identification of the target section, and controlling at least one operation of the vehicle, at least one operation including tunnel driving, window control operation and air cleaning function control.

8 . The method of claim 7 , wherein the risk section includes:

the high risk section requiring driving mode adjustment; and

the low/medium risk section requiring visual and/or audible notification to a driver via a warning mode.

9 . The method of claim 7 , wherein the method further comprises generating the sparse map to include the installation position of the beacon,

wherein generating the sparse map includes: inserting a latitude value and a longitude value of the beacon installed in the risk section into the sparse map.