Please select the most similar patent number from A, B, C and D. Which number is?
A self-driving method, comprises: acquiring the motion state of an obstacle within a preset range; respectively inputting the motion state of the obstacle into an artificial intelligence (AI) model and a potential energy function, and determining a first motion state and a second motion state of a vehicle, wherein the potential energy function indicates the possibility of collision between the obstacle and the vehicle by calculating a collision potential energy between the obstacle and the vehicle, wherein the greater the collision potential energy, the greater the possibility of collision, and the smaller the collision potential energy, the smaller the possibility of collision, the first motion state being the movement speed and the moving direction of the vehicle calculated on the basis of the AI model, and the second motion state being the movement speed and the moving direction of the vehicle calculated on the basis of a potential energy function model; and determining a target motion state of the vehicle on the basis of the first motion state and/or the second motion state, the target motion state comprising a target movement speed and a target moving direction of the vehicle. Said method improves the safety of adjusting the movement speed and the moving direction of a vehicle.
A: An information display method and apparatus, and an electronic device and a computer storage medium. The method comprises: obtaining a motion state of a target vehicle in a virtual scene at the current moment, and a first operation for controlling the target vehicle to move in the virtual scene (S202); predicting a first motion trajectory of the target vehicle within a period of time after the current moment by combining the motion state of the target vehicle at the current moment and the first operation (S204), wherein the first motion trajectory comprises a motion line and the motion direction of the target vehicle within a period of time after the current moment; and displaying the first motion trajectory and a second motion trajectory, wherein the second motion trajectory is a motion trajectory of the target vehicle prior to the current moment, and the position where the first motion trajectory and the second motion trajectory meet is the position of the target vehicle at the target vehicle (S206).
B: A determination method and device for a collision prediction of an autonomous vehicle. An obstacle and an autonomous vehicle are both regarded as a two-dimensional-level polygon with a protrusion. According to the traveling movement direction of the obstacle and the traveling movement direction of the autonomous vehicle, some points, at which a collision probably happens, on a polygonal edge are determined to perform corresponding obstacle predicted path planning and autonomous vehicle predicted path planning; and when it is determined that there is a point of intersection between each obstacle predicted path and each autonomous vehicle predicted path, according to an autonomous vehicle traveling distance, a set safety distance and the minimum distance, whether the autonomous vehicle collides with the obstacle is determined, the moment when the collision happens can be then calculated, and the specific position where the body of the autonomous vehicle undergoes a collision is accurately determined, such that the prediction of whether the autonomous vehicle collides with the obstacle is more accurate. The method is applicable to structured roads such as straight roads, curved roads and intersections, and unstructured roads, and there is no need to perform differentiated processing.
C: Provided are a testing method and apparatus for an autonomous vehicle, which belong to the technical field of autonomous driving and can be used to test intelligent vehicles and autonomous vehicles. The testing method comprises: acquiring a target test case, wherein the target test case is used to indicate a first scenario element in a target virtual scenario, and the first scenario element comprises an initial motion state of a virtual test vehicle; acquiring a motion state of a test vehicle during an execution process of the target test case; converting the motion state of the test vehicle into a motion state of the virtual test vehicle according to a state conversion relationship; and evaluating the performance of the test vehicle according to the motion state of the virtual test vehicle. By means of the solution of the present application, the testing efficiency of an autonomous vehicle can be improved, such that the solution is applied to testing models of mass-produced vehicles.
D: A vehicle rearview mirror control method and apparatus, and an electronic device and a storage medium. The method comprises: when a vehicle is in a first motion state, acquiring location information of an obstacle; when the vehicle is in a second motion state, calculating the distance between a rearview mirror and the obstacle according to a real-time pose of the vehicle and the location information of the obstacle; and when the distance satisfies a first preset control condition, controlling the rearview mirror to fold.
Answer: B