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Ouster
816 posts
Ouster
@ousterlidar
Sensing & perception for Physical AI across industrial, robotics, automotive, and smart infrastructure (Nasdaq: OUST)
San Francisco, CA Katılım Ağustos 2018
274 Takip Edilen7.3K Takipçiler
This is a Rev8 OS1 Max driving through an active work zone, capturing every sign, cone, and worker in native color with depth resolved at the silicon level.
See the dataset in Ouster Studio: studio.ouster.com/share/X5VQVEG1…
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With road work, lane lines deviate, signs change, and workers may stand in spaces that, a day earlier, were drivable lanes. Every cue that tells an autonomous system the rules have temporarily changed is encoded in colorful temporary signage or subtly in the environment itself.
Until Rev8, capturing that color information required a camera stream that had to be calibrated, in real time, against a separate lidar.
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Ouster retweetledi
Ouster CEO Angus Pacala explains how next-gen LiDAR and physical AI are transforming robotics, automation, and autonomy. cheddar.com/media/why-oust…
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Hey San Francisco!
Join us May 27th for a deep dive into Ouster's new REV8 sensors. We’re taking over a brewery in the Mission District for a technical exploration into our latest hardware, featuring a short overview on REV8, live demos, and an open Q&A with the engineering team.
Come for the sensors, stay for the craft beer and community. Invite link in the thread 🍻
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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.
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Ouster retweetledi
Angus Pacala, co-founder and CEO of @OusterLiDAR joined @gbrulte to discuss the launch of REV8, the first native color LiDAR, and how Ouster is becoming the sensing company for the autonomy economy.
Episode Chapters
0:00 @AUTNMYAI
0:36 Changing LiDAR Industry
03:56 Introducing REV8
13:42 Building Trust with Safety-Critical LiDAR
17:53 Why Custom Silicon is Ouster's Moat
25:33 Color Science Behind REV8
33:28 Can Color LiDAR Replace Cameras?
36:36 StereoLabs Acquisition
40:07 Ouster as a Sensing Company
49:46 Defense Applications
52:14 Future of Ouster
$OUST
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"Ouster’s work with NVIDIA DRIVE centers on providing the high-performance sensing required for the next generation of autonomous vehicles." - Ouster CEO Angus Pacala.
🔗Read the press release here: businesswire.com/news/home/2026…
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Unlocking Next-Generation AV Development:
✅ Rev8 provides the world’s first native color lidar data necessary to train next-generation world models and enable safer autonomous navigation at scale.
✅ Flagship OS1 Max delivers 256 channels of high-definition sensing up to 500 meters in all directions.
✅Inherently fused color and depth data allows for automated annotation pipelines, reducing the time and cost of training autonomous systems.
✅Optimized plugins for the OS family within the NVIDIA DriveWorks SDK.
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🚨Ouster Brings REV8 Native Color Lidar to the NVIDIA DRIVE Hyperion Platform
Our new Rev8 OS family of digital lidar sensors is now qualified to run on the @NVIDIADRIVE Hyperion platform, providing developers a streamlined path from development to full-scale deployment of Level 4 autonomous vehicles.
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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: studio.ouster.com/share/7TC61PHE…
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@sinanisler @ousterlidar Well I think data collection and inference are done from the car, which makes sense. I’m just saying that this render here is from an artificially high view point (well above the car).
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Today’s AV stacks infer traffic signal and brake light state from camera pixels, then try to align them to lidar geometry. Layers between sensing and decision.
Humans see color and depth together because they arrive together. Rev8 does the same: 48-bit RGB + 3D depth, same photon, same silicon, already aligned.
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There's some confusion about occlusion and "shadows" in the comments. You can observe 3D data from any viewing angle, and at any viewing angle other than the exact origin point, you will see occlusions - shadows created by objects blocking what's behind them.
The first video is exactly what a camera sees (occlusions and all), it's just novel for many to see the occlusions so clearly. Here's the first person view of the same drive, perspective from the origin like you'd get from a camera:
Ouster@ousterlidar
Today’s AV stacks infer traffic signal and brake light state from camera pixels, then try to align them to lidar geometry. Layers between sensing and decision. Humans see color and depth together because they arrive together. Rev8 does the same: 48-bit RGB + 3D depth, same photon, same silicon, already aligned.
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See this dataset on Ouster Studio: studio.ouster.com/share/V96PNUOM…
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Ouster CEO Angus Pacala spoke to @SchwabNetwork this morning about our record quarterly results and the future of Physical AI, powered by our unified platform of new REV8 native color lidar sensors and @Stereolabs3D cameras.
"We're firing on all cylinders... we're in the earliest innings here, which is just another strong promise for Ouster's future growth for years to come."
schwabnetwork.com/video/ouster-c…
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REV8 is more than just a 3D depth sensor - it delivers uncompromising industrial-grade imaging.
We're proud to announce our work with @DXOMARK, the leader in image quality testing and benchmarking, to maximize the performance of the world's first native color lidar.
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