US 2025/0095384 A1 · ASSOCIATING DETECTED OBJECTS AND TRAFFIC LANES USING COMPUTER VISION

Abstract

Embodiments herein include an automated vehicle performing for identifying vehicles and lanes in roadway by an autonomy system of an automated vehicle. The autonomy system gathers image inputs from cameras or other sensors. The autonomy system assigns index values to the driving lanes and shoulder lanes, and then assigns the index values to the vehicles. The autonomy system generates data segments from the image data, corresponding to creating segments of an image, such that a single image is segmented for portions of the image, such as segmented outputs of each lane line or segmented outputs of portions of the vehicle. The autonomy system compares the segmented portions of the image to detect that a lane contains a vehicle.

Claims20

Dependent claims

A method for managing location information in automated vehicles, the method comprising:

obtaining, by a processor of an automated vehicle, image data from a camera on the automated vehicle, the image data includes a digital representation of imagery in a field-of-view of the camera including an operational environment with one or more objects including a vehicle and a roadway having a plurality of lanes;
identifying, by the processor, in the image data the vehicle and the one or more lanes;
determining, by the processor, that the vehicle is situated in a shoulder lane of the plurality of lanes of the roadway;
for each lane, applying, by the processor, to the image data a lane label associated with the particular lane;
and
updating, by the processor, the image data by applying a vehicle label indicating the shoulder lane for the vehicle.

3 more elements

Dependencies are inferred from the claim text.

Associating detected objects and traffic lanes using computer vision

Life of this patent

Associating detected objects and traffic lanes using computer vision

Life of this patent

Abstract

Claims20