Vehicle to Vehicle Communication using Image Processing

  • Unique Paper ID: 176617
  • Volume: 11
  • Issue: 11
  • PageNo: 7143-7148
  • Abstract:
  • This paper presents a cost-effective and innovative approach to vehicle-to-vehicle (V2V) communication, leveraging image processing and radio frequency (RF) technology for enhanced road safety and intelligent transportation systems. The proposed system utilizes an Arduino Uno microcontroller as the central processing unit, integrating data from multiple sensors including ultrasonic sensors for distance measurement, infrared (IR) sensors for obstacle detection, and a gas sensor for environmental monitoring. Image processing techniques, implemented on the Arduino with connected hardware, analyze captured visual data to identify and track surrounding vehicles, extract relevant information such as relative position and speed, and detect potential hazards. This processed visual information, along with sensor readings, is then transmitted wirelessly to nearby vehicles using an nRF24L01 RF module, enabling real-time data exchange. Received data is processed by the onboard Arduino of each vehicle and displayed on a liquid crystal display (LCD), providing drivers with crucial information about the immediate vehicular environment. This integrated system facilitates functionalities such as collision avoidance warnings, cooperative adaptive cruise control, and environmental hazard alerts, contributing to improved traffic flow, reduced accidents, and enhanced driver awareness. The experimental results demonstrate the feasibility and potential of this low-cost V2V communication system for future intelligent transportation applications.

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 7143-7148

Vehicle to Vehicle Communication using Image Processing

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