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Ouster

@ousterlidar8,134 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:

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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:

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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

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