UDHY Engineering Calculators
13 free AV and Robotics engineering calculators — No signup
What it does
13 free autonomous vehicle & robotics calculators: safety distance, SLAM, EKF, camera FOV, sensor fusion, wheel odometry & more. Built by a Moovita co-founder. These tools are built these after spending years running calculations manually at our AV company (MooVita — Singapore's first Level 4 AV company). Covers EKF predict-update cycles, SLAM accuracy estimation, LiDAR point cloud density, sensor fusion uncertainty, camera FOV, GPS drift, and AV safety distances. All free, no signup required.
13 free autonomous vehicle & robotics calculators: safety distance, SLAM, EKF, camera FOV, sensor fusion, wheel odometry & more. Built by a Moovita co-founder.
13 precision tools for autonomous vehicle and robotics engineers — covering safety distance, sensor fusion, SLAM, EKF, perception latency, camera optics, and more. Built from 25+ years of production deployment experience, not textbook theory. Estimate points per square metre, point spacing, and detection reliability at any range — using your sensor’s real beam count and firing rate. Essential for sensor selection and ODD specification. Estimate how far position error grows during a GPS outage based on IMU grade and speed — and how long you can navigate before drift exceeds acceptable limits in tunnels and urban canyons. Break down your pipeline’s end-to-end latency — sensor to…from udhy.com
Does the same job
all alternatives →


- PIParabola.io – Automate your work with visual programming2018 · parabola.io · ▲291
Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…


More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com