Image segmentation

A navigation system for a host vehicle, the system comprising:

• at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to:
• receive two or more images captured by a camera of the host vehicle from an environment of the host vehicle;
• analyze the two or more images to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object;
• determine a first region of the two or more images associated with the first object and a type of the first object;
• and
• determine a second region of the two or more images associated with the second object and type of the second object, wherein the type of the first object is different from the type of the second object.

A navigation system for a host vehicle, the system composing:

• at least one processor comprising circuitry and a memory, wherein the memory includes instructions that when executed by the circuitry cause the at least one processor to:
• receive at least one image captured by a camera of the host vehicle from an environment of the host vehicle;
• analyze the at least one image to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object;
• determine, based on the analysis, at least one aspect of a geometry of the first object and at least one aspect of a geometry of the second object;
• generate, based on the at least one aspect of the geometry of the first object, a first label associated with a region of the at least one image including the representation of the first object;
• and
• generate, based on the at least one aspect of the geometry of the second object, a second label associated with a region of the at least one image including the representation of the second object.

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

• receive two or more images captured by a camera of e host vehicle from an environment of the host vehicle;
• analyze the two or more images to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object;
• determine a first region of the two or more images associated with the first object and a type of the first object;
• and
• determine a second region of the two or more images associated with the second object and type of the second object, wherein the type of the first object is different from the type of the second object.

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

• receive at least one image captured by a camera of the host vehicle an environment of the host vehicle;
• analyze the at least one image to identify a representation of at least a portion of a first object and a representation of at least a portion of a second object;
• determine, based on the analysis, at least one aspect of a geometry of the first object and at least one aspect of a geometry of the second object;
• generate, based on the at least one aspect of the geometry of the first object, a first label associated with a region of the at least one image including the representation of the first object;
• and
• generate, based on the at least one aspect of the geometry of the second object, a second label associated with a region of the at least one image including the representation of the second object.