US 2023/0419688 A1 · Ambiguous Lane Detection Event Miner

Abstract

A computer system obtains a plurality of road images captured by one or more cameras attached to one or more vehicles. The one or more vehicles execute a model that facilitates driving of the one or more vehicles. For each road image of the plurality of road images, the computer system determines, in the road image, a fraction of pixels having an ambiguous lane marker classification. Based on the fraction of pixels, the computer system determines whether the road image is an ambiguous image for lane marker classification. In accordance with a determination that the road image is an ambiguous image for lane marker classification, the computer system enables labeling of the image and adds the labeled image into a corpus of training images for retraining the model.

Claims20

Dependent claims

A method for lane marker detection for vehicle driving, comprising:

at a computer system including one or more processors and memory:
obtaining a road image captured by a vehicle, the road image having a plurality of regions;
determining, in the road image, a fraction of the plurality of regions having an ambiguous lane marker classification;
determining whether the road image is ambiguous for lane marker classification based on the fraction;
in accordance with a determination that the road image is ambiguous for lane marker classification, facilitating labeling of the road image for retraining a model for at least partially autonomously driving the vehicle to generate a retrained model;
and
distributing the retrained model to one or more vehicles, wherein the model is configured to process road images captured by the one or more vehicles to facilitate at least partially autonomously driving the one or more vehicles.

4 more elements

A non-transitory computer-readable storage medium storing one or more programs configured for execution by one or more processors of a computer system, the one or more programs comprising instructions for:

obtaining a road image captured by a vehicle, the road image having a plurality of regions;
determining, in the road image, a fraction of the plurality of regions having an ambiguous lane marker classification;
determining whether the road image is ambiguous for lane marker classification based on the fraction;
in accordance with a determination that the road image is ambiguous for lane marker classification, facilitating labeling of the road image for retraining a model for at least partially autonomously driving the vehicle to generate a retrained model;
and
distributing the retrained model to one or more vehicles, wherein the model is configured to process road images captured by the one or more vehicles to facilitate at least partially autonomously driving the one or more vehicles.

3 more elements

Dependencies are inferred from the claim text.

Ambiguous Lane Detection Event Miner

Life of this patent

Ambiguous Lane Detection Event Miner

Life of this patent

Abstract

Claims20