Autonomous vehicles rely on a clear understanding of the drivable areas in order to navigate safely and efficiently. This includes the identification of structured, semi-structured, and unstructured road surfaces. A drivable area data annotation case can help define the current drivable area, which includes various lane types, and the areas that are not drivable, such as the opposite lane with an isolation belt. Additionally, features like buffer zones, stop lines, isolation belts, walkways, and crosswalks must be accurately labeled to ensure the vehicle's ability to recognize and respond to its surroundings. These areas are independent and do not overlap.
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