Top all-time · #10497
Ouster
Company blog · ouster.io/blog-postshardwarescience
Ouster is the company blog at ouster.io, writing about hardware and science. Since 2017, 7 different Hacker News readers have linked it 15 times. No feed was found, so read it on the site itself.
Too few sampled comments (7) to say how often HN recommends it.?
Why HN links it
Ouster's company blog on lidar sensors, multi-beam flash lidar and SLAM mapping. HN readers mostly mention it through job listings and sensor specs, and one commenter points to its flash lidar post.
Summarised by Claude from a sample of 7 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Evaluate REV8 native color lidar, OS1 Max, and Ouster digital lidar with real-world data, SDKs, docs, and tools for robotics and automation.
Most-linked posts?
- /blog-posts/2018/8/31/the-camera-is-in-the-lidar2 people · 2 mentions · first linked 2018-11-13
What Hacker News says?
Ouster | Engineering | San Francisco | ONSITE, Full Time Ouster is a venture-backed startup located in San Francisco. We are developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classi…
Comment linking /careers/
on “Ask HN: Who is hiring? (May 2017)”Submitted How Multi-Beam Flash Lidar Works as a story · 185 points
HN discussionOuster | Engineering | San Francisco | ONSITE, Full Time Ouster is a venture-backed startup located in San Francisco. We are developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classi…
Comment linking /careers/
on “Ask HN: Who is hiring? (March 2017)”Submitted Lidar mapping techniques using multiple sensors as a story · 105 points
HN discussionOuster | Multiple Positions | San Francisco | Full-time, Onsite | https://ouster.io At Ouster, we're developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classification. Our team is co…
Comment linking /careers/
on “Ask HN: Who is hiring? (July 2018)”Submitted Could dead bugs blind a self-driving car? as a story · 9 points
HN discussionThe hardware is described, vaguely, at [1]. It's a rotating drum scanner with 16 or 64 lasers. $12,000 for the 64-laser model. $24,000 for the upcoming model with 200m range. Still a long way from a useful auto part. There are about a dozen companies in this space now. Nobody has the price down yet. Continental, the European auto parts company, is the most likely winner. Quanergy made a lot of noise but didn't ship…
Comment linking /faq/
on “The Camera Is the Lidar”Submitted “Structured lidar data” reduces labeling costs by 50% as a story · 2 points
HN discussionThis is a pretty incredible achievement. Be sure to follow the #3 "High quality ambient imagery" link too, if you haven't seen it before: https://www.ouster.io/blog-posts/2018/8/31/the-camera-is-in-...
Comment linking /blog-posts/2018/8/31/the-camera-is-in-the-lidar
on “How Multi-Beam Flash Lidar Works”Submitted Putting a lidar through reliability testing as a story · 1 points
HN discussionOuster SLAM works okay in a forest environment, such as driving with one Ouster OS-1 at highway speeds in Tahoe [0]. It is definitely much more challenging than an urban environment full of flat planes and right angles. Calibration, including range biases, is probably the one factor with the greatest impact on mapping quality. For example, range bias may cause curved walls, and beam angle biases may cause curved gro…
Comment linking /s/OS-1-Datasheet.pdf
on “Lidar mapping techniques using multiple sensors”The take home point here is this: "But if Tesla ultimately succeeds, it won't be because it's easier to achieve full autonomy without lidar than with it. It will simply be because Tesla began large-scale data collection from cameras long before other carmakers. In short, the fact that Tesla backed itself into a corner by promising customers full autonomy without lidar doesn't prove that other companies won't find li…
Comment linking /blog-posts/2018/8/31/the-camera-is-in-the-lidar
on “Elon Musk: “Anyone relying on Lidar is doomed.” Experts: Maybe not”The 64 beam output seen on their website [0] looks very good. A couple of good things going for them: * Clean, dense LIDAR data [1] * Readily available (as per their claims in different articles [2]) * Small form factor * Relatively cheap, compared to Velodyne [3] [0] https://www.ouster.io/ [1] https://www.youtube.com/watch?v=xC6isLZo5Do [2] https://www.forbes.com/sites/alanohnsman/2017/12/11/robocar-... [3] https:/…
Comment linking /buy-now/
on “Introducing Ouster – Commercially viable LiDAR”