How Multi-Beam Flash Lidar Works

Our team has fielded a lot of questions in the past year asking how Ouster has been able to achieve such incredible performance in such a compact, low cost form factor. I’m excited to announce that Ouster has been granted foundational patents for our multi-beam flash lidar technology which allows me to talk more openly about the incredible technology we’ve developed over the last three years and why we’re going to lead the market with a portfolio of low-cost, compact, semiconductor-based lidar sensors in both scanning and solid state configurations.

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Angus PacalaOuster, Inc
The Camera IS the Lidar

With new firmware updates the OS-1 blurs the line between lidar and camera.

It was clear when we started developing the OS-1 three years ago that deep learning research for cameras was outpacing lidar research. Lidar data has incredible benefits - rich spatial information and lighting agnostic sensing to name a couple - but it lacks the raw resolution and efficient array structure of camera images, and 3D point clouds are still more difficult to encode in a neural net or process with hardware acceleration.

With the tradeoffs between both sensing modalities in mind, we set out to bring the best aspects of lidars and cameras together in a single device from the very beginning. Today we’re releasing a firmware upgrade and update to our open source driver that deliver on that goal. The OS-1 now outputs fixed resolution depth images, signal images, and ambient images in real time.

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Angus PacalaOuster
The Over-The-Air Good Life

At Ouster, whether you’re an electrical engineer, a firmware engineer, a mechanical engineer or an optical engineer, you code. As a team and a culture, we made the decision to hire and train every engineer to contribute to our software stack in addition to their stated role, and it means we have considerable resources devoted to improving all aspects of the sensor firmware.

More Range. More Modes.

One of the most exciting changes in our inaugural firmware update is a modification to the core lidar detection algorithm that improves sensor ranging performance while simultaneously reducing the false return rate. At a high level the algorithm better accounts for the unique statistical properties of our sensors to increase detection sensitivity and confidence. The range improvement is anywhere from 5% to 15% …

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Angus Pacala
Ouster to showcase technology at CES and Detroit Auto Show 2018; announces OS-1 research pricing

Ouster, a San Francisco-based developer of high performance LIDAR technology, announced today that it will be demonstrating its technology at two major upcoming industry exhibitions this month: the Consumer Electronics Show (CES) in Las Vegas from January 9th - January 12th, and the North American International Auto Show (NAIAS) in Detroit from January 14th - January 18th

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Raffi Mardirosian