Ensuring Data Privacy and Compliance in Autonomous Vehicle Annotation
Autonomous vehicles (AVs) rely on vast and diverse datasets to learn how to perceive, decide, and act in complex real-world environments. Camera feeds, LiDAR point clouds, radar signals, GPS trajectories, and vehicle telemetry together form the foundation of intelligent driving systems. While this data richness enables innovation, it also introduces significant privacy and compliance challenges—especially…
