Loading video...

Video Failed to Load

Go Home

Check out this drone: Joshua Bird built this drone ($20) in his dorm! [open-source motion capture system⬇️] Built at low cost, a motion capture system for tracking & and flying drones autonomously, with millimeter-level precision at room-scale. The student used $1 PS3 Eye cameras with 150fps capability. The challenge?...

101,689 views • 1 year ago •via X (Twitter)

10 Comments

Bruno's profile picture
Bruno1 year ago

@PalmerLuckey cc

ARK Electronics's profile picture
ARK Electronics2 years ago

Elevate your drone game with our USA-made, NDAA-compliant flight controllers! Trust in reliable technology that not only enhances your flights but also supports US drone manufacturing capability. 🇺🇸✈️ #USAMade #NDAA #drones #uav #uas #px4 #ardupilot #USA #unmanned #opensource

Ram's profile picture
Ram1 year ago

@CaptVenk future project for junior

QVelard's profile picture
QVelard1 year ago

Very cool

Sam Hiderman VI (e/acc)'s profile picture
Sam Hiderman VI (e/acc)1 year ago

How much to make place propeller guards on the drone

ChartChaser's profile picture
ChartChaser1 year ago

I've never seen a European tech unicorn built without American VC money. -@IlirAliu_ Thanks for sharing Ilir (Free Man). Përshëndetje nga Shkupi.

sai vivekanand reddy's profile picture
sai vivekanand reddy1 year ago

Cool 👌

Vindex's profile picture
Vindex1 year ago

Really awesome!!

Thomas's profile picture
Thomas1 year ago

What’s the benefit of this over using internal distance sensors?

DrReefer's profile picture
DrReefer1 year ago

Really cool

Related Videos

Once we started to work with large global retailers, we needed a better way to scale this process. Ideally, the staff at the store could do this themselves — rather than us flying our team across the world — and then we could lower the cost and timelines. So we built a self-serve version of our survey app, with a tutorial mode designed for beginners. Over time, we collected millions of data points, and so we were able to develop an algorithm which would auto-correct mistakes. In other words, if the surveyor accidentally placed their ground-truth location in the wrong place on the map, we could use our algorithms to detect it, and correct it. So now we have WiFi, and with and our efforts on producing a high quality survey, we have the best WiFi positioning available. With WiFi on its own, it’s achieving 3 meter accuracy. This is a great foundation to build on. WiFi + Motion data To refine this down to 1-meter accuracy, we realised that we could combine WiFi with the same technology behind self-driving cars and robotics: a motion system called SLAM (Simultaneous Localization and Mapping). SLAM uses the accelerometer, gyroscope and camera system to understand precise device motion. Imagine a car driving through a tunnel, using the motion since its last GPS ping to keep location accurate until it comes out the other side. On a phone, this technology is very reliable, and measures device motion with high precision. But SLAM is measuring motion within its own coordinate space, it’s not aligned with the real world. SLAM tracks the user’s relative motion, like “moved forward 2 meters, then turned left”, but does “forward” mean “north”, or some other direction? It’s not calibrated, so it could mean any location, any direction. We can’t rely on the compass to help us out with this, because phone compasses are notoriously incorrect — everyone knows the frustration of being sent the wrong way down a street. So our job was to align this motion data with the triangulation data we were receiving from WiFi. We designed an algorithm that could simulate every possibility, filter the unlikely scenarios, and hone in your location, using WiFi as an anchor. So WiFi gives us the initial blue dot, SLAM gives us motion, and as the user starts walking and we receive more data, our algorithms can refine location accuracy down to a consistent 1-meter accuracy. We’ve tested these algorithms in many locations, on hundreds of hours of ground-truth data:

Andrew Hart

91,033 views • 1 year ago