The challenge: to program a drone to follow me autonomously. To start, I taught an Nvidia Jetson Nano how to see in 3D! Last time around, I covered the backstory of my drone, which you can check out here: https://www.youtube.com/watch?v=ZCOlT_sz6Gs In this video, I'm covering: - Unboxing and mini review of the Nvidia Jetson Nano - Research into stereo depth mapping algorithms - Comparision of StereoBM and StereoSGBM Its much more "concept-orientated" in this video! My goal is super ambitious, which is why I'm splitting up the steps needed into separate videos. This is part 2 of many! 00:00 - Intro 01:21 - Unboxing 02:11 - Impressions of the Nano 03:13 - Development Setup 04:01 - OpenCV 04:14 - Calibration 04:57 - Algorithms 06:33 - Comparison 07:33 - Other Approaches 08:13 - Wrapping Up 🌐 Links Nvidia Jetson Nano https://developer.nvidia.com/embedded/jetson-nano-developer-kit Stereo camera (WaveShare IMX219-83) https://www.waveshare.com/imx219-83-stereo-camera.htm Python utility for experimenting with algorithms https://github.com/Matchstic/depthmapper ℹ️ Attributions Twemoji https://twemoji.twitter.com/ Video by Yaroslav Shuraev from Pexels https://www.pexels.com/video/a-man-in-the-library-computing-in-the-phone-on-the-tabletop-6282222/ 🎵 Music Vans in Japan - Deep State Unicorn Heads - Wolf Moon Patiño - Stoner Things SefChol - It's Almost Over 💡 Research Small Vision Systems: Hardware and Implementation. (1998). K Konolige https://www.cs.cmu.edu/~motionplanning/papers/sbp_papers/integrated1/konolidge_stereo_vision.pdf Stereo Disparity using Semi-Global Block Matching https://ww2.mathworks.cn/help/visionhdl/ug/stereoscopic-disparity.html Depth Map from Stereo Images (Python) https://docs.opencv.org/master/dd/d53/tutorial_py_depthmap.html The Depth II: Block Matching https://python.plainenglish.io/the-depth-ii-block-matching-d599e9372712 Depth perception using stereo camera (Python/C++) https://learnopencv.com/depth-perception-using-stereo-camera-python-c/ 🧐 Social stuff Twitter: https://twitter.com/akamatchstic