KORTHOS / ECOSYSTEM / PRODUCT

OS1-128

About

About OS1-128

OS1-128 is the 128-channel configuration of Ouster's mid-range rotating digital LiDAR for autonomous vehicles, mobile robots, industrial automation and mapping. The Rev8 sensor combines a 360-degree horizontal scan with a 44-degree vertical field of view. Native RGB-D colour, calibrated reflectivity and a synchronous IMU provide complementary inputs for perception software.

At 1024 horizontal samples and 10 Hz, Ouster rates detection at 90 metres on a 10-percent-reflective target in 100-klux sunlight. Scan resolution, rotation rate and return mode are configurable, so maximum throughput and range depend on the selected mode. Gigabit Ethernet carries the point cloud to a host computer running the perception stack. The sensor weighs 500 grams without its cap or baseplate and has IP68/IP69K protection with its I/O cable attached. Earlier OS1-128 research configurations, including Rev7, remain distinct from these Rev8 specifications.

21 OCT 2026

Forterra reports 1,426 Lancer missions in Ukraine as Ouster partnership expands

30 MAY 2026

Robotics developments — 23–30 May 2026

28 MAY 2026

Q1 Results Show Robotics Lidar Is Becoming Measurable

08 MAY 2025

Ouster selected for Komatsu autonomous mining vehicle LiDAR supply

Observed use

Exact-product configurations are shown without inferring supply, purchase, customer status, standard fit, deployment or partnership.

  • Husky A300

    Evaluation - Mounted - Physical - Clearpath Robotics mounted an Ouster OS1-128 Rev 7 on Husky A300 for mapping, localization and object-detection evaluation.

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  • Solaris articulated bus parking-assistance platform

    Research Experiment - Mounted - Physical - Improving Driver Safety with Poznan University of Technology and Solaris Bus & Coach

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  • TUM EDGAR autonomous-driving platform

    Research Experiment - Embedded - Physical - Bridging the Sim-to-Real Gap with Digital Twins and Digital Lidar

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Research

  • Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation

    2025-05-05 - Research Publication - A method for assembling repeatable LiDAR test scenes from real sensor measurements of physical targets. Experiments with an Ouster OS1-128 Rev7 examine geometric agreement, occlusions and material-dependent effects in urban and rural point clouds.

    Source

Resources

Curated durable documents and official technical references.

Context

Comparable Systems