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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.
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.
We dip into optimization theory to show why optimization is relevant to us & the role that calculus plays in "making the best choice."
A quick look at how ultrasonic sensors work, their pros and cons, and how they are used in perception arrays for robotic and AV systems.
We wrap up our analysis on one of the most innovative modalities in the Sensoria Obscura: event cameras.
We discuss event cameras, one of our favorite up-and-coming modalities in the Sensoria Obscura of autonomy.
Why are autonomy companies experimenting with (and increasingly adopting) thermal cameras as part of their sensor arrays?
Follow as we go through a common recipe we use to automatically regenerate our internal Docker image whenever rust:latest is updated.
What sensing goes into a Waymo RoboTaxi? As it turns out...quite a lot. More than we even expected!
We'll explore mutability and ownership, as well as related topics like move-semantics, and how Rust allows certain disallowed behaviors.
There are different approaches to timing queries in PostgreSQL. We'll discuss each and the implications that come with them.
Generics are an incredibly important part of programming when using a statically typed language like C++ or Rust. Let's learn why!
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