A social driving style learning framework or system for autonomous vehicles is utilized, which can dynamically learn the social driving styles from surrounding vehicles and adopt the driving style as needed. Each of the autonomous vehicles within a particular driving area is equipped with the driving style learning system to perceive the driving behaviors of the surrounding vehicles to derive a set of driving style elements. Each autonomous vehicle transmits the driving style elements to a centralized remote server. The server aggregates the driving style elements collected from the autonomous vehicles to determine a driving style corresponding to that particular driving area. The server transmits the driving style back to each of the autonomous vehicles. The autonomous vehicles can then decide whether to adopt the driving style, for example, to follow the traffic flow with the rest of the vehicles nearby.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for operating an autonomous vehicle, the method comprising: perceiving driving behaviors of one or more vehicles surrounding a first autonomous vehicle; transmitting one or more driving style elements representing the driving behaviors of the surrounding vehicles from the first autonomous vehicle to a remote server over a network; receiving from the remote server a driving style that was determined based on the driving style elements at the remote server, the driving style including information describing how the first autonomous vehicle should drive in view of the surrounding vehicles at a point in time; generating planning and control data based on the driving style; and controlling and driving the first autonomous vehicle based on the planning and control data. 2. The method of claim 1, wherein the remote server receives a plurality of driving style elements from a plurality of autonomous vehicles over the network, and wherein the driving style received from the remote server was determined based on driving style elements of one or more autonomous vehicles located within a predetermined proximity of the first autonomous vehicle. 3. The method of claim 1, further comprising transmitting a location of each of the surrounding vehicles to the remote server over the network, wherein the remote server determines the driving style based on the driving style elements of one or more vehicles that are within a predetermined proximity of the first autonomous vehicle based on the locations of the surrounding vehicles. 4. The method of claim 1, wherein the driving style elements associated with the surrounding vehicles comprise at least one of a driving speed of each surrounding vehicle, distances between the surrounding vehicles, a deceleration rate, and a distance of deceleration. 5. The method of claim 4, wherein the driving style elements further comprise at least one of a frequency of changing lanes, a speed of changing lanes, and a turning angle of changing lanes. 6. The method of claim 1, further comprising: detecting that a network connection with the remote server is unavailable; in response to the detection, exchanging the driving style elements with one or more autonomous vehicles located within a predetermined proximity of the first autonomous vehicle; and determining the driving style based on the exchanged driving style elements within the first autonomous vehicles. 7. The method of claim 6, wherein exchanging the driving style elements with one or more autonomous vehicles comprises: detecting that a second autonomous vehicle is located within the predetermined proximity of the first autonomous vehicle; transmitting the driving style elements as a first set of driving style elements to the second autonomous vehicle over a wireless connection; receiving a second set of driving style elements from the second autonomous vehicle, wherein the driving style is determined based on the first set of driving style elements and the second set of driving style elements. 8. A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations of operating an autonomous vehicle, the operations comprising: perceiving driving behaviors of one or more vehicles surrounding a first autonomous vehicle; transmitting one or more driving style elements representing the driving behaviors of the surrounding vehicles from the first autonomous vehicle to a remote server over a network; receiving from the remote server a driving style that was determined based on the driving style elements at the remote server, the driving style including information describing how the first autonomous vehicle should drive in view of the surrounding vehicles at a point in time; generating planning and control data based on the driving style; and controlling and driving the first autonomous vehicle based on the planning and control data. 9. The machine-readable medium of claim 8, wherein the remote server receives a plurality of driving style elements from a plurality of autonomous vehicles over the network, and wherein the driving style received from the remote server was determined based on driving style elements of one or more autonomous vehicles located within a predetermined proximity of the first autonomous vehicle. 10. The machine-readable medium of claim 8, wherein the operations further comprise transmitting a location of each of the surrounding vehicles to the remote server over the network, wherein the remote server determines the driving style based on the driving style elements of one or more vehicles that are within a predetermined proximity of the first autonomous vehicle based on the locations of the surrounding vehicles. 11. The machine-readable medium of claim 8, wherein the driving style elements associated with the surrounding vehicles comprise at least one of a driving speed of each surrounding vehicle, distances between the surrounding vehicles, a deceleration rate, and a distance of deceleration. 12. The machine-readable medium of claim 11, wherein the driving style elements further comprise at least one of a frequency of changing lanes, a speed of changing lanes, and a turning angle of changing lanes. 13. The machine-readable medium of claim 8, wherein the operations further comprise: detecting that a network connection with the remote server is unavailable; in response to the detection, exchanging the driving style elements with one or more autonomous vehicles located within a predetermined proximity of the first autonomous vehicle; and determining the driving style based on the exchanged driving style elements within the first autonomous vehicles. 14. The machine-readable medium of claim 13, wherein exchanging the driving style elements with one or more autonomous vehicles comprises: detecting that a second autonomous vehicle is located within the predetermined proximity of the first autonomous vehicle; transmitting the driving style elements as a first set of driving style elements to the second autonomous vehicle over a wireless connection; receiving a second set of driving style elements from the second autonomous vehicle, wherein the driving style is determined based on the first set of driving style elements and the second set of driving style elements. 15. A perception and planning system, comprising: a processor; and a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations of operating an autonomous vehicle, the operations including perceiving driving behaviors of one or more vehicles surrounding a first autonomous vehicle, transmitting one or more driving style elements representing the driving behaviors of the surrounding vehicles from the first autonomous vehicle to a remote server over a network, receiving from the remote server a driving style that was determined based on the driving style elements at the remote server, the driving style including information describing how the first autonomous vehicle should drive in view of the surrounding vehicles at a point in time, generating planning and control data based on the driving style, and controlling and driving the first autonomous vehicle based on the planning and control data. 16. The system of claim 15, wherein the remote server receives a plurality of driving style elements from a plurality of autonomous vehicles over the network, and wherein the driving style received from the remote server was determined based on driving style elements of one or more autonomous vehicles located within a predetermined proximity of the first autonomous vehicle. 17. The system of claim 15, wherein the operations further comprise transmitting a location of each of the surrounding vehicles to the remote server over the network, wherein the remote server determines the driving style based on the driving style elements of one or more vehicles that are within a predetermined proximity of the first autonomous vehicle based on the locations of the surrounding vehicles. 18. The system of claim 15, wherein the driving style elements associated with the surrounding vehicles comprise at least one of a driving speed of each surrounding vehicle, distances between the surrounding vehicles, a deceleration rate, and a distance of deceleration. 19. The system of claim 18, wherein the driving style elements further comprise at least one of a frequency of changing lanes, a speed of changing lanes, and a turning angle of changing lanes. 20. A computer-implemented method for operating an autonomous vehicle, the method comprising: perceiving by a first autonomous vehicle driving behaviors of one or more vehicles surrounding the first autonomous vehicle; determining a plurality of driving style elements for each of the surrounding vehicles based on a driving behavior of the surrounding vehicle; transmitting a first set of driving style elements representing the driving behaviors of the surrounding vehicles from the first autonomous vehicle to a second autonomous vehicle over a wireless network; receiving a second set of driving style elements from the second autonomous vehicle, wherein the second set of driving style elements were determined by the second autonomous vehicle based on a perception of driving behaviors of vehicles surrounding the second autonomous vehicle; determining a driving style based on the first set of driving style elements and the second set of driving style elements, wherein the driving style includes information describing how the first autonomous vehicle should drive in view of the surrounding vehicles at a point in time; and controlling and driving the first autonomous vehicle based on planning and control data generated based on the driving style. 21. The method of claim 20, wherein the first autonomous vehicle and the second autonomous vehicle are located within a predetermined proximity at the point in time. 22. The method of claim 20, further comprising transmitting a location of each of the surrounding vehicles to the second autonomous vehicle, wherein the second set of driving style elements further includes a location of each of the surrounding vehicles. 23. The method of claim 20, wherein the driving style elements associated with the surrounding vehicles comprise at least one of a driving speed of each surrounding vehicle, distances between the surrounding vehicles, a deceleration rate, and a distance of deceleration. 24. The method of claim 23, wherein the driving style elements further comprise at least one of a frequency of changing lanes, a speed of changing lanes, and a turning angle of changing lanes.