Ouster's banner

Ouster

@ousterlidar • 8,803 subscribers

Sensing & perception for Physical AI across industrial, robotics, automotive, and smart infrastructure (Nasdaq: OUST)

Shorts

A tunnel exit takes a camera from ~1 lux to ~100,000 lux in under a second. Auto-exposure can't keep up, highlights blow out, and the first frames after the exit are unusable This is a Rev8 OS1 Max capturing the Yosemite Wawona Tunnel exit. 116 dB of dynamic range, hardware HDR, and color captured in the same photon event as depth, so every point holds its color through six orders of magnitude of lighting change See the dataset in Ouster Studio:

A tunnel exit takes a camera from ~1 lux to ~100,000 lux in under a second. Auto-exposure can't keep up, highlights blow out, and the first frames after the exit are unusable This is a Rev8 OS1 Max capturing the Yosemite Wawona Tunnel exit. 116 dB of dynamic range, hardware HDR, and color captured in the same photon event as depth, so every point holds its color through six orders of magnitude of lighting change See the dataset in Ouster Studio:

52,296 views

Traditionally, sensor fusion is a software-heavy process prone to temporal lag and parallax errors. With Rev8, we’ve moved that complexity to the silicon. This SLAM sequence is powered by Ouster’s our new L4 MAX chip. Because the lidar and color data are fused at the moment of measurement, the point cloud is born with 48-bit color. No extrinsic calibration, no drift, and zero latency. For perception teams, this means better classification of safety vests, traffic signals, and road markings without the compute overhead of post-processing. Learn more about Native Color and the OS1 MAX:

Traditionally, sensor fusion is a software-heavy process prone to temporal lag and parallax errors. With Rev8, we’ve moved that complexity to the silicon. This SLAM sequence is powered by Ouster’s our new L4 MAX chip. Because the lidar and color data are fused at the moment of measurement, the point cloud is born with 48-bit color. No extrinsic calibration, no drift, and zero latency. For perception teams, this means better classification of safety vests, traffic signals, and road markings without the compute overhead of post-processing. Learn more about Native Color and the OS1 MAX:

47,802 views

Many industrial robotics applications still rely on 2D lidar for simple zone monitoring, which limits the field of view and vertical resolution required to detect complex or overhanging obstacles Ouster Firmware 3.2 embeds native 3D zone monitoring directly onto our digital lidar sensors, including the OS0, OS1, and OSDome

Many industrial robotics applications still rely on 2D lidar for simple zone monitoring, which limits the field of view and vertical resolution required to detect complex or overhanging obstacles Ouster Firmware 3.2 embeds native 3D zone monitoring directly onto our digital lidar sensors, including the OS0, OS1, and OSDome

25,792 views

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

We're entering a new era. Where machines don't just detect the world, they understand it. Introducing REV8:

We're entering a new era. Where machines don't just detect the world, they understand it. Introducing REV8:

80,452 views • 2 months ago

Today, we introduced Rev8: our next-generation family of OS digital lidar sensors Powered by Ouster L4 Silicon, Rev8 doubles the range and resolution of our platform while introducing native Spatial Color (RGB) The new OS1 Max delivers our highest performance yet, featuring 256 channels of vertical resolution, and up to 500m max range to support high-speed autonomy and long-range detection

Today, we introduced Rev8: our next-generation family of OS digital lidar sensors Powered by Ouster L4 Silicon, Rev8 doubles the range and resolution of our platform while introducing native Spatial Color (RGB) The new OS1 Max delivers our highest performance yet, featuring 256 channels of vertical resolution, and up to 500m max range to support high-speed autonomy and long-range detection

45,886 views • 2 months ago

Traditional SLAM: capture lidar, capture camera, fuse in post, correct drift, build map This is a Rev8 OS1 Max running SLAM down Union Street in San Francisco. The colorized point cloud is generated from a single sensor in a single pass, with color and depth captured in the same photon event

Traditional SLAM: capture lidar, capture camera, fuse in post, correct drift, build map This is a Rev8 OS1 Max running SLAM down Union Street in San Francisco. The colorized point cloud is generated from a single sensor in a single pass, with color and depth captured in the same photon event

29,707 views • 2 months ago

With Rev8, color is perceived in the right place, at the right distance, at the right moment. Ouster L4 silicon captures color and depth in the same photon event, with Fujifilm color science embedded directly on the chip. This is a Rev8 OS1 Max driving the Embarcadero in San Francisco. Every traffic signal, brake light, and bike lane resolved in 48-bit native color, perfectly aligned with depth at the silicon level.

With Rev8, color is perceived in the right place, at the right distance, at the right moment. Ouster L4 silicon captures color and depth in the same photon event, with Fujifilm color science embedded directly on the chip. This is a Rev8 OS1 Max driving the Embarcadero in San Francisco. Every traffic signal, brake light, and bike lane resolved in 48-bit native color, perfectly aligned with depth at the silicon level.

29,617 views • 2 months ago

San Francisco's Chinatown is notoriously busy. Hand-painted, colorful signage, awnings stretched across every storefront, vendors, pedestrians and traffic all moving through narrow streets. It's an environment with high visual density, high motion, and high information per square meter. This is a Rev8 OS1 Max. We stacked the reflectivity channel on top and the RGB (native color) channel on the bottom, both captured at the same time. Reflectivity picks out what stands out, while native color tells you what those things are. A bright return becomes a readable sign, while a car ahead becomes a white sedan with its left brake light lit.

San Francisco's Chinatown is notoriously busy. Hand-painted, colorful signage, awnings stretched across every storefront, vendors, pedestrians and traffic all moving through narrow streets. It's an environment with high visual density, high motion, and high information per square meter. This is a Rev8 OS1 Max. We stacked the reflectivity channel on top and the RGB (native color) channel on the bottom, both captured at the same time. Reflectivity picks out what stands out, while native color tells you what those things are. A bright return becomes a readable sign, while a car ahead becomes a white sedan with its left brake light lit.

12,776 views • 1 month ago

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖

14,291 views • 5 months ago

No more content to load