F1 Car Collision & Nearby Object Detection

Data Flow Diagram

Real World Implementation

Introduction

Detect objects around car and estimate a distance to give warnings to the driver.

• Detect object using already pretrained models like YOLOv3, YOLOv4, YOLOv5, etc.
• Estimate distance to the object using camera calibration and object size.
• Give warnings to the driver using vibration motors on the steering wheel.

Requirements

• F1 Car (We are using our college car for this project)
• Raspberry Pi 4
• Camera (We are using Logitech C270)
• Vibration Motors (We are using 2 vibration motors, Smaller ones works which will fit on the steering wheel using 3D printed parts)
• 3D Printer (Optional, if you want to print the parts for vibration motors)
• Wires and Motor Driver for raspberry pi (We are using L298N motor driver)
• and other stuffs like breadboard, jumper wires, etc.

How to use

We will be specifyly updating this section soon for raspberry pi setup and code.

• Clone this repository
• Install requirements using pip install -r requirements.txt
• Run python main.py

Project Flow Chart

Collaborators

• Spark Racing Team - www.sparkracingteam.com