Simulation of the Autonomous car using Raspberry Pi with Open CV

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Simulation of the Autonomous car using Raspberry Pi with Open CV

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Description

ABSTRACT

The autonomous car is the major project, which is being developed in every domain, which is developed in Real-time car Tesla which is developed by the Elon Musk. In the Autonomous car the parameter like Pedestrian detection, detecting vehicles and road sign detection should be performed, so that this can be developed in prototype using Raspberry Pi with the camera using Open CV technology. By programming knowledge like pedestrian detection, road sign detection and vehicle detection to the car, that car turned into autonomous.

PROJECT DESCRIPTION

This Raspberry Pi system is the simulation of the Autonomous car using OpenCV, which the input video is fed externally to process the detection of pedestrian, detection of Road sign etc. From the video, it is processed by frame to detect the pedestrian, car and road sign. Those every detection is done using the pre-trained model in the format of the XML file. So that it gets trained using that model and apply those features based on the trained model.

HARDWARE REQUIRED

  • Raspberry Pi
  • Power Adapter
  • HDMI to VGA converter (optional, when connecting to Monitor)

 

SOFTWARE REQUIRED

  • SD Card Formatter
  • Win32 Disk Imager (or) Etcher
  • Video to detect the autonomous car function parameter

 

LIBRARIES USED

  • CV2

 

CONCLUSION

This is the simulation for an autonomous car, the same thing which can be innovated to be done in real-time autonomous car.

Additional information

Weight0.000000 kg

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