ROADSIDE SENSING SYSTEM BASED ON VEHICLE INFRASTRUCTURE COOPERATION, AND METHOD FOR CONTROLLING VEHICLE THEREOF
The present disclosure provides a roadside sensing system based on vehicle infrastructure cooperation and a method for controlling a vehicle thereof. The system includes a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance. The intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module. The roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle. The roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information. The roadside communication module is configured to send the road environment information to the target vehicle. The target vehicle comprises a driving behavior decision module, which is configured to perform path planning according to the road environment information, and to perform autonomous driving according to a result of the path planning.
1 . A roadside sensing system based on vehicle infrastructure cooperation, comprising a target vehicle and an intelligent roadside device provided on a road segment divided by a preset distance, wherein,
the intelligent roadside device comprises a roadside sensing module, a roadside processing module, and a roadside communication module;
the roadside sensing module comprises a sensor configured to acquire surrounding environment information of the target vehicle;
the roadside processing module is configured to perform fusion processing on the surrounding environment information acquired to form road environment information;
the roadside communication module is configured to send the road environment information to the target vehicle;
the target vehicle comprises a driving behavior decision module;
the driving behavior decision module is configured to perform path planning according to the road environment information, and to perform autonomous driving according to a result of the path planning.
2 . The roadside sensing system according to claim 1 , further comprising:
an autonomous vehicle, configured to sense surrounding environment information of the target vehicle, and send the surrounding environment information sensed to the intelligent roadside device;
wherein the roadside processing module is configured to perform fusion processing on the road environment information according to the surrounding environment information sensed by the autonomous vehicle.
3 . The roadside sensing system according to claim 1 , wherein the sensor comprises:
a first radar, configured detect surrounding environment information in its coverage area; and
a second radar, configured to detect surrounding environment information in its coverage area,
wherein a detection distance of the first radar is greater than a detection distance of the second radar.
4 . The roadside sensing system according to claim 3 , wherein the first radar and the second radar are both a laser radar.
5 . The roadside sensing system according to claim 3 , wherein the first radar is a 64-layer laser radar, and the second radar is a 16-layer laser radar.
6 . The roadside sensing system according to claim 3 , wherein the first radar is a laser radar, and the second radar is a millimeter-wave radar.
7 . The roadside sensing system according to claim 1 , wherein the sensor comprises a plurality of cameras, and each of which corresponds to an intersection monitored by the intelligent roadside device,
the camera is configured to acquire traffic light image information of the intersection;
the roadside processing module is configured to acquire traffic light information of the intersection according to the traffic light image information;
the roadside communication module is configured to send the traffic light information to the target vehicle.
8 . The roadside sensing system according to claim 3 , wherein the first radar is arranged above the camera, and the second radar is arranged below the camera.
9 . The roadside sensing system according to claim 1 , wherein,
the roadside processing module is further configured to acquire traffic light information from a traffic light device; and
the roadside communication module is further configured to send the traffic light information to the target vehicle.
10 . The roadside sensing system according to claim 1 , wherein the sensor comprises:
a meteorological sensor, configured to detect meteorological data, and send the meteorological data to the roadside processing module;
wherein the roadside processing module is configured to send the meteorological data to the target vehicle through the roadside communication module.
11 . A method for controlling a vehicle, comprising:
acquiring surrounding environment information of a target vehicle;
performing fusion processing on the surrounding environment information acquired to form road environment information; and
sending the road environment information to the target vehicle, to make the target vehicle performs path planning according to the road environment information and perform autonomous driving according to a result of the path planning.
12 . The method according to claim 11 , before sending the road environment information to the target vehicle, the method further comprises:
receiving surrounding environment information sensed by an autonomous vehicle; and
performing fusion processing on the road environment information according to the surrounding environment information sensed by the autonomous vehicle.
13 . The method according to claim 11 , further comprising:
acquiring traffic light image information of an intersection monitored by an intelligent roadside device through a camera;
acquiring traffic light information of the intersection according to the traffic light image information; and
sending the traffic light information to the target vehicle.
14 . The method according to claim 11 , further comprising:
detecting meteorological data; and
sending the meteorological data to the target vehicle.
15 . The method according to claim 11 , further comprising:
acquiring traffic light information from a traffic light device; and
forwarding the traffic light information to the target vehicle.
16 . A non-transitory computer readable storage medium having stored thereon a computer program that, when executed by a processor, causes a method for controlling a vehicle to be implemented, the method comprising:
acquiring surrounding environment information of a target vehicle;
performing fusion processing on the surrounding environment information acquired to form road environment information; and
sending the road environment information to the target vehicle, to make the target vehicle performs path planning according to the road environment information and perform autonomous driving according to a result of the path planning.
17 . The non-transitory computer readable storage medium according to claim 16 , wherein before sending the road environment information to the target vehicle, the method further comprises:
receiving surrounding environment information sensed by an autonomous vehicle; and
performing fusion processing on the road environment information according to the surrounding environment information sensed by the autonomous vehicle.
18 . The non-transitory computer readable storage medium according to claim 16 , wherein the method further comprises:
acquiring traffic light image information of an intersection monitored by an intelligent roadside device through a camera;
acquiring traffic light information of the intersection according to the traffic light image information; and
sending the traffic light information to the target vehicle.
19 . The non-transitory computer readable storage medium according to claim 16 , wherein the method further comprises:
detecting meteorological data; and
sending the meteorological data to the target vehicle.
20 . The non-transitory computer readable storage medium according to claim 16 , wherein the method further comprises:
acquiring traffic light information from a traffic light device; and
forwarding the traffic light information to the target vehicle.