Uploaded May 2020 | Updated September 2026, 2 weeks ago

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• Description:
This tutorial is part of a series where the goal is to build a Raspberry Pi-powered, small-scale driverless car based on Computer Vision and Reinforcement Learning. It is based on the Open Source, community-backed project: Donkey Car (donkeycar.com/)
In this video I go over the steps for getting the Intel RealSense D435 Depth Camera working with a Raspberry Pi 4. Starting with a newly flashed image of Raspbian OS, I follow all the necessary steps for configuring Raspbian, and installing the software to get the device working.
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• Related vids:
Set up the linux-based Raspbian Operating System: youtu.be/ndkM6O9tTm8
Set up Raspbian for access without a keyboard, monitor, and even a Wi-Fi connection: youtu.be/h3cCHN3MBvs (complete) youtu.be/pbS_sfa1yII (summary)
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• Project parts:
Intel RealSense D435 Camera:
amzn.to/2SxXJhM
Raspberry Pi Robocar Kit (unassembled):
amzn.to/3b4f6xN (affiliate)
Raspberry Pi Robocar Kit (assembled, pre-programmed):
acrobotic.com/products/robocar
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• Tutorials:
The steps are outlined in the Wiki for my Raspberry Pi Demos repository:
github.com/acrobotic/Ai_Demos_RPi/wiki/Raspberry-Pi-4-and-Intel-RealSense-D435
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• Music:
Epidemic Sound (https://epidemicsound.com). Standard YouTube License.
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#RaspberryPi #Robotics #Tutorial