Abstract: Example methods and apparatus for predicting a travelable lane are described. One example method includes obtaining forward lane line information backward lane line information of a host vehicle. A first lane model is constructed based on the forward lane line information of the host vehicle. A second lane model is constructed based on the backward lane line information of the host vehicle. A first travelable lane is predicted based on the first lane model and the second lane model.

Abstract: Embodiments of this application provide example target detection methods and apparatuses. One target detection method includes obtaining an image by using a photographing apparatus. A region of interest can be marked in the image based on a parameter of the photographing apparatus and a preset traveling path. The image can be detected by using a target detection algorithm to obtain a category to which a target object in the image belongs, a first location region of the target object in the image, and a confidence of the category. The confidence of the category can be modified, based on a relative location relationship between the first location region and the region of interest, to obtain a first confidence.