Still under construction...
A Autonomous RC Car
This work focuses on the development of autonomous remote control car (RC) technology. Autonomous RC cars, which have an important place in today's industrial solutions, have the potential to be used in a number of applications. While this technology can be used in areas such as logistics, transportation, security and entertainment, these vehicles must be fully autonomous. The aim of this study is to provide a framework for the development of an autonomous RC vehicle. This framework is designed to enable autonomous movement capabilities using sensors, artificial intelligence algorithms and control systems. It also includes the hardware and software components required for the vehicle to sense and interact with its environment safely and effectively. Consequently, this work aims to increase the potential of this technology by providing a basis for the integration of autonomous RC cars into a wide range of applications.
12 month
Research investigates the application of deep reinforcement learning (DRL) in enabling autonomous RC car navigation within dynamic environments, specifically focusing on scenarios without predefined paths.
In this study, we investigate how different Convolutional Neural Network (CNN) models perform in terms of energy consumption, processing time and accuracy. The aim is to identify the most suitable CNN model, especially for energy-constrained applications such as autonomous vehicles and embedded systems.
In the first part of the object detection series using KITTI dataset, I prepared an article about how to prepare the data..