Ouster

Stereolabs, an Ouster company, and AVerMedia Technologies Inc. today announced NVIDIA JetPack 7.2 support across all Stereolabs ZED X GMSL cameras and AVerMedia's NVIDIA Jetson carrier boards, including Jetson Orin and Jetson Thor. The collaboration pairs AVerMedia's carrier-board and BSP engineering with Stereolabs' unified ZED X driver architecture, so hardware and software releases can move in parallel and give robotics and edge AI developers a faster path from development to production. "By anchoring the platform-specific integration work with AVerMedia, where we're doubling down on both companies' hardware expertise, both teams can develop in parallel and respond to customer requirements more quickly." - Ihsane Youcef Debbache, VP of Engineering, Stereolabs Read the full announcement: https://lnkd.in/g_n5Rdbj

Orchards are hardest to navigate during harvest season. Canopies are at their densest, GPS loses precision under the trees, and crews run long days through dust, spray, and shifting light. Autonomous sprayers and tractors cannot rely on GPS alone to hold a row at centimeter precision. Ouster lidar maps trunks, rows, and ground contours in 3D from an ultra-wide field of view. Machines keep their line and detect obstacles through dust and dense vegetation, from first light to full sun. This is a still shot from Viansa Winery in Sonoma, California. Captured in motion with OS1 Max.

See more. See in more conditions. Better autonomy. Better model data. Better situational awareness and better outcomes in situations that matter. Many thanks to Yahoo Finance for the coverage and Ouster for the partnership Link in comments to full article.

Join us for a virtual Drone Mapping Summit on October 27th: 90 minutes on getting survey-grade, native color lidar into your drone mapping workflow with the Rev8 OS1 Max. The summit will be three parts: - A showcase of what is new in Rev8 for mapping: native color, precision, range, and the compact OS1 Max form factor. - A hands-on masterclass that walks through the full capture-to-map workflow, firmware settings for the best capture, ready-to-use datasets in Ouster Studio, and the SDK CLI commands. - A panel with senior leaders from GeoCue, Seneca, and Flyability on where the industry is heading. Every registrant gets a set of real OS1 Max drone captures to download and explore, power line corridors, dense canopy, and urban survey, all in native color. For anyone who builds mapping payloads, flies them, or processes the data - join us on Tuesday, October 27, 8:00 AM PT. Register here: https://lnkd.in/gJ2Gyzw7

This is several blocks of Pacific Heights in San Francisco, captured from a drone in a single flight with a Rev8 OS1 Max. Rooftop edges, curb lines, crosswalk markings, and individual tree canopies all resolve as measured points, at altitude. With 200 meters of range at 10% reflectivity and 256 channels, the OS1 Max flies higher and wider without thinning the data, so a site takes fewer passes and fewer battery swaps. Precision holds between ±0.25 cm and ±1.5 cm across range. A synchronous IMU on every unit keeps motion correction tight throughout the flight. Color is captured in the same pass as the geometry, which shortens the colorization step between the flight and the deliverable. See the drone flight in Ouster Studio: https://lnkd.in/ge_7Pn8Q

Ouster is partnering with Seneca to integrate the Rev8 OS1 Max native color digital lidar into Seneca's autonomous drone platform for wildfire response. Smoke, dust, shifting terrain, and low visibility make wildfire operations some of the hardest conditions an autonomous aircraft can fly in. With the OS1 Max, Seneca's drones build a precise 3D picture of their surroundings for navigation and obstacle avoidance across all three of its missions: hauling cargo to the fire line, following terrain for mapping and vegetation management, and inspecting structures and utility infrastructure. Longer range gives the aircraft more time to react, and 256 channels at up to 4K horizontal resolution hold that detail as speed climbs. Ouster's NDAA §164 compliant platform, along with the BABA-compliant sensors Ouster offers, supports Seneca's commitment to aircraft designed and assembled in America. "Its IP68/IP69K rating, shock tolerance, and broad temperature range mean we can fly in conditions that would ground other platforms, meaning we can support firefighters, utilities, and communities on missions that were previously unsafe, inefficient, or impossible." - Stuart Landesberg, CEO of Seneca Link to the announcement in comments.

Join Ouster and MathWorks on October 28th for a live webinar on what Rev8 and native color point clouds unlock inside MATLAB. You'll see how to simulate, visualize, and analyze Ouster lidar in MATLAB with the Lidar Toolbox, work with Rev8 colorized point clouds, and stream live Rev8 data straight into MATLAB. The demo runs a full workflow: colorized point cloud generation, visualization, and drivable path extraction with RoadRunner and MATLAB, plus how to move from simulated sensors to validating against real hardware. Built for perception, ADAS, autonomy, and robotics engineers, with live Q&A from the Ouster and MathWorks teams. Register here: https://lnkd.in/eM_-Ue_5

This was not recorded with a camera. It is a 3D point cloud captured from a drone with a Rev8 OS1 Max over Coit Tower in San Francisco, every point carrying its true position and its real color. This is what high-altitude drone mapping looks like when you do not have to trade range for detail. The OS1 Max reaches 200 meters at 10% reflectivity, so a drone flies high and covers more ground per pass, and holds point density at speed, so it flies faster lines without thinning the data underneath. Stunning to look at, and measurable, survey-grade data underneath. See the full dataset in Ouster Studio: https://lnkd.in/gZSCFHk9

Some of the most critical assets to inspect are the ones people cannot safely enter: mine shafts, sewers, industrial plants. They are dark, GPS-denied, and full of dust, exactly where camera-based systems lose their bearings. That is where Ouster and Flyability come in. Flyability's collision-tolerant Elios 3 flies Ouster's compact, rugged OS0 lidar into those spaces, feeding its SLAM system for localization, stabilization, and survey-grade 3D mapping. Ouster provides the eyes, Flyability the mobility and intelligence to navigate. The result is measurable 3D data captured in a single flight, from places a person should never have to go. We caught up with the Flyability team at INTERGEO Expo and Conference to talk through five years of collaboration and what native color will unlock next. Watch the full video on YouTube: https://lnkd.in/gdEBC77A

Two of the most common survey deliverables are opposites. A digital terrain model (DTM) needs the bare ground with vegetation and structures stripped away. Powerline and canopy work needs the reverse: everything standing, ground removed. The Ouster SDK produces both from the command line, no external processing. Strip the ground to isolate structures and vegetation: ouster-cli source map.osf plumb ground filter GROUND 1:1 viz Or keep only the ground for a clean terrain model: ouster-cli source map.osf plumb ground filter GROUND 0:0 viz The ground command segments the ground plane on every frame, and filter shows you either side of it. plumb runs first to align the data to gravity using the sensor's IMU. For a drone or moving capture, add slam before ground so the model is built in one consistent frame. Read more about the filter command in the SDK docs: https://lnkd.in/g6rJV2wN And see this dataset in Ouster Studio: https://lnkd.in/gd-3QkdD