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v2v-communication

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This project develops predictive collision avoidance systems using ML and V2V/V2I communication. Featuring SUMO-based simulations, it enhances road safety, reduces congestion, and optimizes traffic flow for autonomous and traditional vehicles

  • Updated Dec 27, 2024
  • Python

Two Raspberry Pi 4 robots that navigate autonomously and communicate wirelessly in real time using Vehicle-to-Vehicle (V2V) communication. Each robot uses camera, ultrasonic, IMU, and GPS sensor fusion for angle-based navigation. A working proof of concept of self-driving car technology.

  • Updated Apr 30, 2026
  • Python

Vehicular Ad-Hoc Network (VANET) simulation framework for V2V communication focused on intersection collision avoidance. Built using OMNeT++, Veins, INET, and SUMO, it progresses from basic wireless communication and AODV routing to a custom IEEE 802.11p-based collision prevention system.

  • Updated Apr 17, 2026
  • C++

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