Neural network developed for obstacle avoidance of the four wheeled electric vehicle

Grazia Lo Sciuto; Paweł Kowol; Paweł Nowak; Wacław Banaś; Salvo Coco; Giacomo Capizzi

doi:10.1109/ICECS58634.2023.10382857

Neural network developed for obstacle avoidance of the four wheeled electric vehicle

Grazia Lo Sciuto
, Paweł Kowol
, Paweł Nowak
, Wacław Banaś
, Salvo Coco
, Giacomo Capizzi

University of Catania

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network.

Original language	English
Title of host publication	ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems
Subtitle of host publication	Technosapiens for Saving Humanity
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350326499
DOIs	https://doi.org/10.1109/ICECS58634.2023.10382857
Publication status	Published - 2023
Event	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turkey Duration: 4 Dec 2023 → 7 Dec 2023

Publication series

Name	ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

Conference

Conference	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023
Country/Territory	Turkey
City	Istanbul
Period	4/12/23 → 7/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Haptic feedback
Neural Network
Obstacle avoidance
Vehicle safety system

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems
Biomedical Engineering
Electrical and Electronic Engineering
Instrumentation
Artificial Intelligence

Access to Document

10.1109/ICECS58634.2023.10382857

Cite this

Sciuto, G. L., Kowol, P., Nowak, P., Banaś, W., Coco, S., & Capizzi, G. (2023). Neural network developed for obstacle avoidance of the four wheeled electric vehicle. In ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECS58634.2023.10382857

Sciuto, Grazia Lo ; Kowol, Paweł ; Nowak, Paweł et al. / Neural network developed for obstacle avoidance of the four wheeled electric vehicle. ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity).

@inproceedings{987a5ae5c49646f0b173380427f7433a,

title = "Neural network developed for obstacle avoidance of the four wheeled electric vehicle",

abstract = "Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network.",

keywords = "Haptic feedback, Neural Network, Obstacle avoidance, Vehicle safety system",

author = "Sciuto, \{Grazia Lo\} and Pawe{\l} Kowol and Pawe{\l} Nowak and Wac{\l}aw Bana{\'s} and Salvo Coco and Giacomo Capizzi",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 ; Conference date: 04-12-2023 Through 07-12-2023",

year = "2023",

doi = "10.1109/ICECS58634.2023.10382857",

language = "English",

series = "ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems",

address = "United States",

}

Sciuto, GL, Kowol, P , Nowak, P , Banaś, W, Coco, S & Capizzi, G 2023, Neural network developed for obstacle avoidance of the four wheeled electric vehicle. in ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity, Institute of Electrical and Electronics Engineers Inc., 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023, Istanbul, Turkey, 4/12/23. https://doi.org/10.1109/ICECS58634.2023.10382857

Neural network developed for obstacle avoidance of the four wheeled electric vehicle. / Sciuto, Grazia Lo; Kowol, Paweł ; Nowak, Paweł et al.
ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc., 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Neural network developed for obstacle avoidance of the four wheeled electric vehicle

AU - Sciuto, Grazia Lo

AU - Kowol, Paweł

AU - Nowak, Paweł

AU - Banaś, Wacław

AU - Coco, Salvo

AU - Capizzi, Giacomo

PY - 2023

Y1 - 2023

N2 - Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network.

AB - Several solutions have been proposed for vehicle navigation in unknown environments to ensure safer driving by avoiding obstacles and collisions. In this work, an electric vehicle equipped with Mecanum 4 omnidirectional holonomic wheels, analog joystick to control driving movement, LiDAR sensors and Wi-Fi able to detect obstacles is investigated based on neural network approach. By experimental tests conducted to avoid collisions by detecting the presence of obstacles, the relation between the resistance distance and speed is described by the artificial neural network.

KW - Haptic feedback

KW - Neural Network

KW - Obstacle avoidance

KW - Vehicle safety system

UR - https://www.scopus.com/pages/publications/85183589556

U2 - 10.1109/ICECS58634.2023.10382857

DO - 10.1109/ICECS58634.2023.10382857

M3 - Conference contribution

AN - SCOPUS:85183589556

T3 - ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity

BT - ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023

Y2 - 4 December 2023 through 7 December 2023

ER -

Sciuto GL, Kowol P , Nowak P , Banaś W, Coco S, Capizzi G. Neural network developed for obstacle avoidance of the four wheeled electric vehicle. In ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity. Institute of Electrical and Electronics Engineers Inc. 2023. (ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems: Technosapiens for Saving Humanity). doi: 10.1109/ICECS58634.2023.10382857

Neural network developed for obstacle avoidance of the four wheeled electric vehicle

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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