Method and device for determining the distance between an object and a vehicle by using a bounding box and a local depth prediction model.

Abstract

A method or device for determining the distance between an object and a vehicle equipped with a vision system comprising first and second cameras. The distance is determined from depths predicted by a local depth prediction model selected from a plurality of such models. The depths are predicted for pixels of a bounding box associated with the object in an acquired image. The local depth prediction model is learned from training images containing training objects. These objects are detected (32), bounding boxes are determined, and a window size is defined (34) to be larger than the various bounding boxes. Local depth prediction models are then learned (37), each local model being associated with a window covering a portion of an image acquired by a camera. Figure 3 (for the abstract)

Inventors

LI HAI

Assignees

STELLANTIS AUTO SAS
FCA US LLC

Dates

Publication Date: 20260501
Application Date: 20240617
Priority Date: 20240617