Paper Contents
Abstract
AI automation revolutionized logistics with the creation of the AI Autonomous Delivery Vehicle for streamlined, self-navigated deliveries. Based on machine learning, computer vision, LiDAR, and GPS, it safely navigates, identifies hazards, and maintains real-time monitoring with minimal human intervention. Conventional delivery mechanisms are plagued with inefficiencies, delays, excessive costs, and environmental issues. The demand for quicker, timely, and mechanized solutions generates the demand for autonomous vehicles, which improve efficiency and sustainability. I helped in the creation of the autonomous system, incorporating LiDAR for live mapping, and energy efficiency optimization with an electric power system. I also implemented smooth communication between the car, delivery hubs, and consumers. Consumers are able to pick up their packages from specified hubs using authentication, with a fixed weightlimit for ensuring proper handling of packages. Future enhancements involve improving AI for more informed decision-making, responding to varied terrain and weather conditions, and learning from real-world data. These improvements will render autonomous deliveries smarter, greener, and more dependable.
Copyright
Copyright © 2025 Aashika Shravani KB. This is an open access article distributed under the Creative Commons Attribution License.
