Photogrammetry vs LiDAR Scanning

Developers should learn photogrammetry when working on projects that require 3D reconstruction from real-world imagery, such as in virtual reality, game development, or cultural heritage preservation meets developers should learn lidar scanning when working on projects involving spatial data, 3d modeling, or autonomous systems, such as self-driving cars, robotics, or augmented reality applications. Here's our take.

Photogrammetry

Nice Pick

Developers should learn photogrammetry when working on projects that require 3D reconstruction from real-world imagery, such as in virtual reality, game development, or cultural heritage preservation

Pros

• It is essential for applications like drone mapping, architectural visualization, and forensic analysis, where precise spatial data is needed without physical contact
• Related to: computer-vision, 3d-modeling

Cons

• Specific tradeoffs depend on your use case

LiDAR Scanning

Developers should learn LiDAR scanning when working on projects involving spatial data, 3D modeling, or autonomous systems, such as self-driving cars, robotics, or augmented reality applications

Pros

• It's essential for tasks requiring accurate environmental mapping, object detection, and terrain analysis, offering advantages over traditional methods like photogrammetry in terms of precision and performance in low-light conditions
• Related to: point-cloud-processing, autonomous-vehicles

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Photogrammetry is a concept while LiDAR Scanning is a tool. We picked Photogrammetry based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Photogrammetry wins

Based on overall popularity. Photogrammetry is more widely used, but LiDAR Scanning excels in its own space.