Updating road navigation model using non-semantic road feature points

A method for navigating a vehicle, the method comprising:

• receiving, from a camera of the vehicle, a plurality of images captured from an environment of the vehicle;
• analyzing a first image of the plurality of images to identify a non-semantic road feature represented in the first image;
• identifying a first image location, in the first image, of at least one point associated with the non-semantic road feature;
• analyzing a second image of the plurality images to identify a representation of the non-semantic road feature in the second image;
• identifying a second image location, in the second image, of the at least one point associated with the non-semantic road feature;
• determining, based on a difference between the first and second image locations and based on motion information for the vehicle between a capture of the first image and a capture of the second image, three-dimensional coordinates for the at least one point associated with the non-semantic road feature;
• and
• sending the three-dimensional coordinates for the at least one point associated with the non-semantic road feature to a server for use in updating a road navigation model.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to:

• receive, from a camera of a vehicle, a plurality of images captured from an environment of the vehicle;
• analyze a first image of the plurality of images to identify a non-semantic road feature represented in the first image;
• identify a first image location, in the first image, of at least one point associated with the non-semantic road feature;
• analyze a second image of the plurality images to identify a representation of the non-semantic road feature in the second image;
• identify a second image location, in the second image, of the at least one point associated with the non-semantic road feature;
• determine, based on a difference between the first and second image locations and based on motion information for the vehicle between a capture of the first image and a capture of the second image, three-dimensional coordinates for the at least one point associated with the non-semantic road feature;
• and
• send the three-dimensional coordinates for the at least one point associated with the non-semantic road feature to a server for use in updating a road navigation model.