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Multi-sensor systems are becoming ever more common as we seek to automate robotics, navigation, or create a "smart" world.
Why might you want to cross-compile? We'll explain why, with tips and tricks for managing cross-platform development with Rust.
Considerations for creating a stereo depth sensing system for robotics companies.
We make the distinction between forward and inverse models, clarify terms, and explain how we apply distortion models in-house.
Follow as we go through a common recipe we use to automatically regenerate our internal Docker image whenever rust:latest is updated.
Generics are an incredibly important part of programming when using a statically typed language like C++ or Rust. Let's learn why!
Projective compensation affects many calibration scenarios. In this post, we'll explore what it is, how to detect it, and how to address it.
There are two primary lens distortion models to provide correction. We'll go over these, and dive into the math and approach.
In this series, we explore another part of the camera modeling process: modeling lens distortions.
We explore one of the fundamental aspects of the calibration problem: choosing a model
A new way to play with Intel's most popular sensor line.
Relating two 3D coordinate systems together must be done regardless of how complex your sensor system is.
What are the best practices for making quality Rust documentation with Rustdoc?
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