Vehicle to Vehicle Car Chase

In a nutshell, the project consists of self-driving cars that will communicate with each other in order to devise a strategy to chase prey car. The purpose of the project is to decrease the atrocities related to human handled vehicles. Nearly 1.2 million people die every year due to vehicular accide

Project Title

Vehicle to Vehicle Car Chase

Project Area of Specialization

Artificial Intelligence

Project Summary

In a nutshell, the project consists of self-driving cars that will communicate with each other in order to devise a strategy to chase prey car. The purpose of the project is to decrease the atrocities related to human handled vehicles. Nearly 1.2 million people die every year due to vehicular accidents. the amount of vehicle-related crimes are also soaring. Both of these statistics need to be put in check.  The self-driving system of cars will greatly improve. Both the safety of passengers and the rate of successful pursuits that will affect the vehicular crime rate

Project Objectives

Our project has the following objectives:

1. Making a self-driving car that navigates itself through a path.

2. Making a self-driving car that uses camera vision to successfully follow an object.

3. Making a set of self-driving cars that will communicate with each to devise a chasing strategy.

4. Deploying this in a toy car environment and set it up for future work.

Project Implementation Method

Hardware methods:

1. Engineering a toy car to be controlled by the computer to move and transfer video from the car to the computer.

2. Setting up a small computer (Raspberry Pi 3B+) on the car so it can drive itself and also transfer images to the main computer.

3. Setting up a server computer for controlling strategy.

4. Engineering power requirements for the toy car.

5. Setting a network of LDRs in the map for car localization.

Software methods:

(language used for of the software engineering is Python3)

1. Image preprocessing for the CNN model.

2. Making the CNN model for the self-driving capability of the car

3. Socket programming for the connection between the server and the car.

4. Image processing of frame from the car to aid in the self-driving process.

5. Communication program that connects all the cars and devises a strategy

Benefits of the Project

1. Capture of prey becomes efficient because artificial intelligence strategy is better than human strategy.
2. Police personnel is safe because cars are self-driving and reliable.
3. Highly intelligent security systems.
4. Crime control.
5. Better navigation and surveillance of pursuits.

Technical Details of Final Deliverable

1. Making a self-driving car that navigates itself through a path.

2. Making a self-driving car that uses camera vision to successfully follow an object.

3. Making a set of self-driving cars that will communicate with each to devise a chasing strategy.

4. Deploying this in a toy car environment and set it up for future work.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Transportation

Other Industries

Security

Core Technology

Artificial Intelligence(AI)

Other Technologies

Robotics

Sustainable Development Goals

Peace and Justice Strong Institutions, Partnerships to achieve the Goal

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com