CEO @ Spectacular AI

Joined July 2021
44 Photos and videos
Pinned Tweet
First demo of our new aerial Visual-Inertial Positioning System (VIO VPS): 40m positioning accuracy (CEP) in a 50 kilometer flight using a camera, consumer-grade IMU and a barometer! No GPS
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Spectacular AI flight testing in winter conditions: -13 °C (8.6 °F), low altitude, full snow cover. No significant issues. GPS-free autonomous closed-loop navigation powered by VIO.
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Otto Seiskari retweeted
I am really impressed by how easy Spectacular AI makes visual-inertial odometry with an OAK camera. Just "pip install spectacularAI" and run a Python script. Running VIO/SLAM used to be much harder in my opinion.
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Spectacular AI visual-inertial navigation module prototype. Plugs directly into Pixhawk and runs VIO VPS in real-time. R-Pi CM4 and low-cost commodity components only. 110 grams, 64 x 64 x 70 mm. Closed-loop demo.
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Low-cost autonomous GPS-free navigation (closed-loop): Pixhawk mission flight mode with Spectacular AI VIO as “fake GPS”, running real-time on #raspberrypi CM 4. Extra sensor & compute weight < 100g
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SW and HW guide available in selected countries with a commercial license: spectacularai.com/#contact
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Accidental #GaussianSplatting video art from incorrect #FFmpeg alpha compositing commands (I eventually found the correct ones too)
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Easiest way to calibrate a camera on Linux. No ROS, no Docker, no CMake. Just @FFmpeg and Spectacular AI command line tool installable via Python pip: sudo apt install ffmpeg pip install spectacularAI[full] sai-cli calibrate your-data.mkv
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More info: ⭐Documentation: spectacularai.github.io/docs… ⭐ IMU-camera calibration tutorial on YouTube: youtu.be/N2ae_cJvmgM The tool is based on our fork of Basalt

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As an extra bonus, "sai-cli calibrate" also work on Windows. See here for more info spectacularai.github.io/docs…

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GPS-free visual-inertial navigation in real time on Raspberry Pi 5 with a consumer-grade IMU and camera (and this is not even the slowest CPU this runs on!)
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Features of the new Spectacular AI SDK 1.38 include: ⭐ ONNX-based VPS acceleration: allows full VIO VPS operation even on Cortex A53s ⭐ Built-in IMU-camera calibration Python tool, based on our fork of Basalt (separate post to follow) For more details: spectacularai.com/#contact
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Also joined Bluesky: oseiskar.bsky.social

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In the 3rd flight test, we basically duct-taped a smartphone to a Cessna to highlight that our GPS-free Visual-Inertial Positioning runs on consumer-grade sensors (32 m CEP positioning accuracy over 55 kilometers, only using phone camera, IMU and barometer)
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As shown in the video, we actually had to use two smartphones to manage the engine vibration noise: one in the cockpit and another below the plane. This was an offline demo, but a typical mobile phone processor is also powerful enough to run the method in real time
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Another GPS-free aircraft navigation demo wth our new Visual-Inertial Positioning System: 77 km flight, 21 m CEP. If you are interested in early access of the solution, send us a message at spectacularai.com/#contact . More technical details in 🧵
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First demo of our new aerial Visual-Inertial Positioning System (VIO VPS): 40m positioning accuracy (CEP) in a 50 kilometer flight using a camera, consumer-grade IMU and a barometer! No GPS
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More technical details in the next post x.com/oseiskar/status/183893…

Another GPS-free aircraft navigation demo wth our new Visual-Inertial Positioning System: 77 km flight, 21 m CEP. If you are interested in early access of the solution, send us a message at spectacularai.com/#contact . More technical details in 🧵
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Sensors: This demonstration used a MEMS IMU (cost < $5), which was inside the cockpit to reduce vibration noise from the engine, and a consumer-grade barometer. The performance in this test was limited by insufficient noise isolation in the camera.
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The software in this test consists of two main components: 1) Visual-Inertial Odometry (VIO), which is already available in our commercial SDK. 2) and a new Visual Positioning System (VPS) component, which uses the reference map. This component is not a part of our standard SDK.
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