IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 121

Article Submitted : 24719

Article Published : 9358

Total Authors : 24865

Total Reviewer : 861

Total Countries : 169

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Design and Development of Unmanned Ground Vehicle for Object Detection Using Deep Learning Algorithm
Authors Name: Mayur Jagtap , Shailesh Yadav , Rushikesh Kadam , Rohit Polas , -
Download E-Certificate: Download
Author Reg. ID:
IJRTI_212743
Published Paper Id: IJRTI2605151
Published In: Volume 11 Issue 5, May-2026
DOI:
Abstract: The paper introduces an optimized omnidirectional robotic system using a 4-wheel Mecanum drive powered by a Raspberry Pi 4, significantly enhancing maneuverability and spatial efficiency is better over traditional two-wheel drives. It employs a localized SSD MobileNet model for object detection, achieving a faster inference speed compared to YOLOv3 on similar hardware. The system is highly cost-effective which is a big reduction compared to commercial alternatives. It features a Flask-based asynchronous web server with command latencies very less. The study mathematically validates the superiority of lightweight neural networks and holonomic kinematics on resource-limited edge devices.
Keywords: Unmanned Ground Vehicle, Edge Computing, Object Detection, SSD MobileNet, Mecanum Drive, Raspberry Pi.
Cite Article: "Design and Development of Unmanned Ground Vehicle for Object Detection Using Deep Learning Algorithm", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b437-b441, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605151.pdf
Downloads: 00085
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2605151
Registration ID:212743
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b437-b441
Country: Pune, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605151
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605151
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner