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

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

4 Cytowania z bazy Scopus

Abstrakt

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.

Język oryginału	angielski
Tytuł publikacji goszczącej	ICECS 2023 - 2023 30th IEEE International Conference on Electronics, Circuits and Systems
Podtytuł publikacji goszczącej	Technosapiens for Saving Humanity
Wydawca	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektroniczny)	9798350326499
Identyfikatory DOI	https://doi.org/10.1109/ICECS58634.2023.10382857
Status publikacji	Opublikowano - 2023
Wydarzenie	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023 - Istanbul, Turcja Czas trwania: 4 gru 2023 → 7 gru 2023

Seria publikacji

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

Konferencja

Konferencja	30th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2023
Kraj/Terytorium	Turcja
Miejscowość	Istanbul
Okres	4/12/23 → 7/12/23

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Rozpoznawanie obrazów i wzorów
Systemy informacyjne
Inżynieria biomedyczna
Inżynieria elektryczna i elektroniczna
Instrumentacja
Sztuczna inteligencja

Uzyskaj dostęp do dokumentu

10.1109/ICECS58634.2023.10382857

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

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. W 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 i in. / 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. w 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, Turcja, 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 i 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).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

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. W 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

Abstrakt

Seria publikacji

Konferencja

Cele SDG ONZ

Obszary tematyczne ASJC Scopus

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Inne pliki i linki

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