What is depth estimation?

Depth estimation is the capability of an autonomous mobile robot or a robotic vehicle to use camera inputs to estimate depth with no other sensor data. By interpreting images, either through stereoscopic (two-camera) vision or monocular techniques—robots calculate how far away objects are without relying solely on additional sensors like LiDAR.

This process mimics human binocular vision by analyzing differences between camera views or using motion cues, enabling robots to create real-time 3D depth maps of their surroundings. Advanced algorithms including machine learning, Simultaneous Localization and Mapping (SLAM), and computer vision techniques interpret this data, allowing the robot to perceive spatial relationships accurately.

Why is depth estimation important?

Depth estimation is essential for autonomous navigation, obstacle avoidance, environment mapping, and safe operation in dynamic, unstructured spaces. It empowers AMRs to adjust their path, speed, and actions based on the position and distance of nearby objects or people, enhancing efficiency and safety.