Today, many giant automobile companies are trying to manufacture their own self-driving cars. Many analysts predict that within 30 years, we will start to have fully autonomous cars running in our cities. So, if you are a final year student and want to make an Artificial Intelligence Machine Learning final year project, building your very own self-driving car would be a great choice. In this article, I will guide you through some self-driving car project ideas and provide the necessary resources to guide you to build your own physical self-driving car.
One of the most crucial sensors for self-driving automobiles is LiDAR. It's essentially a gadget that emits light pulses that bounce off an object and return to a LiDAR sensor, which calculates the item's distance. The LiDAR generates a 3D Point of the object and perceives the physical environment and makes decisions and avoids the obstacle.
In this project, a lidar sensor is used to detect the obstacle and the self-driving car perceives the physical environment and acts accordingly.
The main objective of this project is to build an autonomous car that can navigate properly. It is using GPS, LIDAR, and other sensors to navigate to GPS waypoints, avoid obstacles, and return to the start position.
This is four-part series on building a miniature self-driving car from scratch, all the hardware and software part of the project is described step by step.
Part 1 is on ROS setup
Part 2 is on the sensor suite
Part 3 is on the microcontroller
Part 4 is on the NVIDIA Jetson TX1.
It will give a clear understanding of developing a self-driving car.
This is a mini AI project to convert your RC car to handle self-driving on the track, collision avoidance, and stop sign, and traffic light detection.
Tesla Model RC is a self-navigating, electric, battery-powered RC car. The goal is to use GPS navigation to get to the location specified on a self Android application While navigating, the vehicle integrates data from various sensors to understand its environment and avoid impediments in its route.
In this tutorial, you will be enlightened about the software and hardware architecture of a self-driving car and the guidelines to build your own project.
In this project, a self-driving car with lane detection using Raspberry pi is developed. First of all, they focus on the hardware side and then focused on the code with a detailed explanation. Here your car will understand its routes and act accordingly to move forward.
The project demonstrates how to construct a tiny Robocar that can drive independently using Machine Learning. Off-the-shelf Android hardware components are used. The hardware implementation and software development steps of the projects are shown step by step in the article.
This is five-part series on building a miniature self-driving car from scratch with software and hardware implementation.
Part 1 is on Equipment & Plan
Part 2 is on Hardware Setup
Part 3 is on Manual Control using Raspberry Pi & Python
Part 4 is on Everything In Place
Part 5 is on Serverless Control using Computer Vision.
It will give a clear understanding on make a self-driving car.
So, now you have some of the self-driving car project ideas to choose from. These tasks will assist you in developing your skills in this field. Furthermore, these projects will not only put you on the route to becoming a specialist, but they will also prepare you for the workforce. Whether you're a novice or currently working in this area, you may try out these extremely fascinating projects.
If you are interested to learn more about self-driving cars you can visit our self-driving tutorial section.
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