Abstract: This application discloses a vehicle driving exit prediction method includes: obtaining a first location of the target vehicle at the target intersection and a driving direction of the target vehicle; obtaining N reference points respectively associated with N driving exits of the target intersection, where N is a positive integer; obtaining, based on the first location, the driving direction of the target vehicle, and the N reference points, likelihoods corresponding to the N driving exits respectively, where the likelihood indicates a probability that the target vehicle travels out of the target intersection from a corresponding driving exit; and obtaining a driving exit with a largest likelihood in the N driving exits as the driving exit of the target vehicle.

Abstract: Embodiments of this application provides example methods, media, and apparatuses for predicting moving trajectory of a target object. One example method includes obtaining a candidate moving trajectory, where the candidate moving trajectory is a motion trajectory that is of the target object in future period and that is obtained by using a prediction method, and the target object is in a sensing range of an ego vehicle. Environmental information is obtained within the sensing range. A constraint barrier is generated based on the environmental information, where the constraint barrier is used to indicate an area through which the target object is constrained to pass. The candidate moving trajectory is processed based on the constraint barrier.

Abstract: An automatic driving track obtaining method and apparatus are provided. The method includes: obtaining a driving style coefficient of a driver of a vehicle A (S101); calculating a cost function of the driver of the vehicle A based on the driving style coefficient of the driver of the vehicle A (S102), where the cost function is used to represent costs paid when the vehicle A travels from an initial node to a current node in a driving track of the vehicle A; and obtaining the driving track of the vehicle A on a first three-dimensional spatial-temporal map through calculation according to the cost function (S103). The driving track obtained by using the method and the apparatus can match driving styles of all drivers. This improves driver satisfaction on the driving track, and lessens a running-in period in which the driver performs automatic driving.