Perception-based sign detection and interpretation for autonomous machine systems and applications

A system comprising:

• one or more processing units to execute operations comprising:
• computing, using lane attributes indicating geometry information and semantic information corresponding to a plurality of lanes in an environment of a machine, matching scores indicating levels of similarity between the lane attributes;
• grouping one or more first lanes of the plurality of lanes with one or more second lanes of the plurality of lanes into a group based at least on the matching scores between the one or more first lanes and the one or more second lanes exceeding a threshold value;
• assigning one or more semantic attributes of at least one sign detected in the environment to at least one first lane of the one or more first lanes based at least on one or more distances between the at least one sign and the at least one first lane;
• based at least on one or more lanes being in the group with the at least one first lane and the assignment of the one or more semantic attributes to the at least one first lane, evaluating the one or more lanes using one or more propagation constraints that correspond to the at least one sign;
• based at least on the evaluating indicating the one or more lanes satisfy the one or more propagation constraints, propagating the one or more semantic attributes of the at least one sign from the at least one first lane to the one or more lanes;
• and
• controlling one or more of braking, steering, or acceleration of the machine based at least on the one or more semantic attributes being propagated to the one or more lanes.

At least one processor comprising:

• one or more circuits to control one or more of braking, steering, or acceleration of a machine based at least on a propagation of one or more semantic attributes of a sign to one or more first lanes from one or more second lanes, wherein the propagation is based at least on:
• generating an assignment of the one or more semantic attributes of the sign to the one or more second lanes,
• computing, using first lane attributes of the one or more second lanes and second lane attributes of the one or more first lanes, one or more matching scores indicating one or more levels of similarity between the first lane attributes and the second lane attributes, and
• based at least on the assignment of the one or more semantic attributes to the one or more second lanes and the one or more matching scores exceeding a threshold value, evaluating the one or more first lanes using one or more propagation constraints that correspond to the sign.