Training Autonomous Vehicles in the U.S.: The Role of Accurate Annotation
The road to fully autonomous driving in the United States depends on more than advanced algorithms—it depends on accurately labeled data. From self-driving car annotation to LiDAR labeling and AV training data pipelines, annotation plays a critical role in helping machines understand their environment. This article explores how American AV companies are building reliable datasets, ensuring compliance, and tackling real-world challenges to make autonomous driving a safe reality.
