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DIY Driverless Car With Computer Vision (ROS, RaspberryPi, Elegoo)

This project focused on developing a lane identification and tracking algorithm running on a RaspberryPi 3 that would enable the autonomous navigation of a modified Elegoo vehicle. The system was developing using ROS and Gazebo was used as the simulation environment. This video tutorial briefly covers the following topics:

– A brief overview of the required hardware and software

– Development and implementation of a -by-wire system for manual control of the vehicle in Gazebo and in the real world.

– Development of a lane detection and tracking algorithm.

– Implementation of a PD control system to produce steering commands for the vehicle based on the estimated lane position.

– Experimental verification of the image processing algorithm and control system in simulation and on the physical vehicle

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