AI-Based Smart Vehicle Parking System

<div class="section abstract"><div class="htmlview paragraph">This project presents the development of an advanced Autonomous Mobile Robot (AMR) designed to autonomously lift and maneuver four-wheel drive vehicles into parking spaces without human intervention. By leveraging cutting-edge camera and sensor technologies, the AMR integrates LIDAR for precise distance measurements and obstacle detection, high-resolution cameras for capturing detailed images of the parking environment, and object recognition algorithms for accurately identifying and selecting available parking spaces. These integrated technologies enable the AMR to navigate complex parking lots, optimize space utilization, and provide seamless automated parking. The AMR autonomously detects free parking spaces, lifts the vehicle, and parks it with high precision, making the entire parking process autonomous and highly efficient. This project pushes the boundaries of autonomous vehicle technology, aiming to contribute significantly to smarter and more efficient urban mobility systems.</div></div>

Authors

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-12-10
DOI
https://doi.org/10.4271/2024-01-5242
Primary Topic
Smart Parking Systems Research
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Based Smart Vehicle Parking System

Pawan Kumar, K. Joseph Abraham Sundar, J. Karthika, M. Syed Atheef
SAE technical papers on CD-ROM/SAE technical paper series
Smart Parking Systems Research
article

AI-Based Smart Vehicle Parking System

Pawan Kumar, K. Joseph Abraham Sundar, J. Karthika, M. Syed Atheef
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">This project presents the development of an advanced Autonomous Mobile Robot (AMR) designed to autonomously lift and maneuver four-wheel drive vehicles into parking spaces without human intervention. By leveraging cutting-edge camera and sensor technologies, the AMR integrates LIDAR for precise distance measurements and obstacle detection, high-resolution cameras for capturing detailed images of the parking environment, and object recognition algorithms for accurately identifying and selecting available parking spaces. These integrated technologies enable the AMR to navigate complex parking lots, optimize space utilization, and provide seamless automated parking. The AMR autonomously detects free parking spaces, lifts the vehicle, and parks it with high precision, making the entire parking process autonomous and highly efficient. This project pushes the boundaries of autonomous vehicle technology, aiming to contribute significantly to smarter and more efficient urban mobility systems.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Sustainable cities and communities
Openalex Percentile: Top 76%
Smart Parking Systems Research
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