@inproceedings{81cfa8df5dcc45668466ab15043a5f8a,
title = "AUTONOMOUS VEHICLE DETECTING AND TRACKING HUMANS",
abstract = "This article presents a project of a simple mobile robot, the main task of which is to detect a human and follow him at a speed close to the speed of human walking. To implement such a task, a mobile platform with four wheels and a steerable front axle was made using 3D printing technology. Then, the mobile platform was equipped with the necessary sensors and a deep neural network was used to detect a human. The control of the mobile platform was presented in the form of a state diagram.",
keywords = "COCO, Deep neural network, Human tracking, Mobile robot",
author = "Artur Babiarz and Dawid Roczyna",
note = "Publisher Copyright: {\textcopyright} 2025 Modelling and Simulation 2025 - 39th Annual European Simulation and Modelling Conference 2025, ESM 2025. All rights reserved.; 39th Annual European Simulation and Modelling Conference, ESM 2025 ; Conference date: 22-10-2025 Through 24-10-2025",
year = "2025",
language = "English",
series = "Modelling and Simulation 2025 - 39th Annual European Simulation and Modelling Conference 2025, ESM 2025",
publisher = "EUROSIS",
pages = "143--147",
editor = "Bhonsale, \{Satyajeet S.\} and Polanska, \{Monika E.\} and Impe, \{Jan F.M. Van\}",
booktitle = "Modelling and Simulation 2025 - 39th Annual European Simulation and Modelling Conference 2025, ESM 2025",
}