Every robot that navigates a factory floor, every autonomous vehicle that detects a pedestrian, and every drone that lands on a moving target relies on one thing: high-quality labeled data.
Yet as physical AI becomes more complex, so does its data pipeline. Robotics and autonomous systems must make sense of inputs from cameras, lidars, radars, IMUs and GPS sensors — often in real time.
This is where 3D sensor fusion labeling becomes mission-critical.
