Forklift localization and tracking in warehouse settings
In warehouses, it’s important to know where forklifts are for safety and efficiency. Visual SLAM is a promising approach for forklift localization and navigation for indoor applications, but current methods have problems like being slow, not understanding what they see, and being affected by changes in light. This project aims to solve these problems and make a strong system to find and track forklifts in warehouses. It will focus on finding and matching features, localization, understanding the environment, and keeping the map updated. The successful completion of this project will make great contributions to intelligent warehouse management. It introduces capabilities such as real-time inventory tracking, optimized storage layouts for efficiency, dynamic resource allocation, and streamlined order fulfillment. These outcomes have the capacity to positively impact Canada’s economy, trade relations, and technological standing.
Voir la description complète du projetGuanghui Wang
Antek Logistics
Computer science
Transportation and warehousing
Toronto Metropolitan University
Accelerate
