Design and Development of autonomous vehicle for in campus Logistics
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Date
2025
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Volume Title
Publisher
NHCE
Abstract
Autonomous vehicles are revolutionizing logistics operations across various sectors, including campus environments. This study focuses on designing and implementing an autonomous vehicle system tailored for in-campus logistics, operating in a closed environment with predefined routes. The proposed vehicle incorporates barcode scanners, cameras, and intelligent algorithms to navigate efficiently and safely, ensuring seamless delivery operations.
The vehicle relies on barcodes strategically placed along its predefined route to obtain positional and directional information. The barcode scanner reads these markers, allowing the onboard algorithm to interpret and determine the next navigational step. This eliminates the need for complex GPS systems and ensures high precision, even in environments with limited satellite connectivity. Complementing this, the integrated camera system provides real-time obstacle detection and path verification. By fusing data from both systems, the vehicle achieves robust and dynamic navigation, maintaining its reliability even in unpredictable scenarios.
This autonomous delivery system is designed to cater to various logistics tasks within campuses, such as delivering parcels, documents, or food. It prioritizes safety, efficiency, and scalability, enabling operations in diverse campus settings with minimal human intervention. The system is energy-efficient, leveraging electric power to align with sustainability goals while reducing operational costs.
The project demonstrates the potential of combining advanced technologies, such as barcode scanning, computer vision, and machine learning, to create a cost-effective and user-friendly logistics solution. Future advancements, including AI-powered decision-making and multi-vehicle fleet management, could further enhance the system’s capabilities. This study sets a foundation for the broader adoption of autonomous delivery vehicles in structured environments, paving the way for innovative logistics solutions in educational, corporate, and institutional settings.