FEATURE DETECTION MODELS FOR AUTONOMOUS AND SEMI-AUTONOMOUS SYSTEMS AND APPLICATIONS

In various examples, feature detection models for autonomous and/or semi-autonomous systems and applications are described herein. Systems and methods described herein may use one or more trained machine learning models to automatically generate representations of traffic features corresponding to a map, such as road markings and/or road edges. For instance, the model(s) may take, as input, an image representing at least a portion of a map that includes one or more traffic features along with one or more indications of one or more points associated with the traffic feature(s) as represented by the image. Based at least on processing the inputs, the model(s) may generate and/or output data representing additional points associated with the traffic feature(s) and/or a heatmap representing one or more lines representing the traffic feature(s). This output data may then be used to determine the representation(s) of the traffic feature(s) for annotating the map.