METRICS FOR MODELING CONSTRUCTION ZONES

Systems and methods for determining metrics for construction zone detection and evaluating the performance of construction zone detection. A construction zone can be manually labeled, and the human labels are converted to a format that can be input to a neural network. The neural network input represents polygons indicating the construction zone, as well as various construction zone objects. When an AV drives to the construction zone, the AV detects the construction zone objects and generates a predicted construction zone, including, for example, predicted edges. The predicted connectivity of the construction zone objects is evaluated to determine accuracy of the detected construction zone.