# Metric Depth from a Single Camera: How Robots See Without LiDAR

DevFeed: [Metric Depth from a Single Camera: How Robots See Without LiDAR](<https://devfeed.tech/articles/metric-depth-from-a-single-camera-how-robots-see-without-lidar-39657.md>)

Original publisher: [Read original article](<https://www.gauravsarma.com/posts/2026-04-07_metric-depth-from-a-single-camera>)

Published: 2026-04-07T00:00:00Z

Content type: tutorial

Language: en

Sources: [Gaurav Sarma's Blog](<https://devfeed.tech/sources/gaurav-sarma-s-blog.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [systems](<https://devfeed.tech/topics/systems.md>), [Point cloud](<https://devfeed.tech/topics/point-cloud.md>), [3D](<https://devfeed.tech/topics/3d.md>)

Tags: [3d](<https://devfeed.tech/tags/3d.md>), [ai](<https://devfeed.tech/tags/ai.md>), [algorithm](<https://devfeed.tech/tags/algorithm.md>), [camera](<https://devfeed.tech/tags/camera.md>), [lidar](<https://devfeed.tech/tags/lidar.md>)

## AI overview

This article explains how robots can estimate dense, metric depth from a single camera by combining an AI depth-estimation model with a tracking algorithm that provides real-world scale. It contrasts this approach with LiDAR and describes the role of depth ambiguity in camera-based navigation.

## Source excerpt

Take a photo of a coffee mug on your desk. Now look at that photo...