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Musings on perception, sensors, robotics, autonomy, and vision-enabled industries
The 2024 Perception Industry Map covers 105 companies developing hardware and software for robots, AVs and more.
How has perception and computer vision changed in a decade and a half?
Pinhole Obsession is a dangerous condition that can occur after years spent in proximity to computer vision labs, researchers, and startups.
Rust for robots is growing. Let's highlight that progress and think about the future.
The Tangram Vision team takes its best stab at guessing what goes into the FarmWise FT35's sensor array
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.
Learn about solid state and scanning LiDARs, as well as what models are available now for prototyping and deployment.
What do we do when our perception pipeline explodes? Easy: bring in a perception plumber.
We explore one of the fundamental aspects of the calibration problem: choosing a model
Access code building blocks to create a sensor calibration module in Rust.
Explore the complex mathematics required for sensor and camera calibration.
Learn the theory behind how to perform sensor and camera calibration.
Exploring different ways of generating test data with PostgreSQL
Exploring different ways of loading test data into PostgreSQL.
An OpenCV webinar about sensor dependencies given by Brandon Minor, CEO Tangram Vision
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