Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a method for infrastructure-free localization of Automated Guided Vehicles (AGVs) in a warehouse environment. To accomplish this, our approach leverages 3D data for both mapping and feature segmentation. First, a 3D reconstruction of the warehouse is created to extract salient natural features — in this case the shelving uprights — as landmarks. Next, the map-based localization approach leverages 3D LIDAR to enable 3D feature-to-landmark matching which minimizes the potential for data association errors. In our experiments in a representative warehouse environment,  demonstrated a localization accuracy of approximately 2cm without the use of retroreflector targets. Furthermore, 100% of visible landmarks re detected and there re no false positives.
['Dylan Schwesinger', 'John R. Spletzer']
I am writing a research paper on a idea A 3D approach to infrastructure-free localization in large scale warehouse environments
[{"from": "human", "value": "I am writing a research paper on a idea A 3D approach to infrastructure-free localization in large scale warehouse environments"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  present a method for infrastructure-free localization of Automated Guided Vehicles (AGVs) in a warehouse environment. To accomplish this, our approach leverages 3D data for both mapping and feature segmentation. First, a 3D reconstruction of the warehouse is created to extract salient natural features \u2014 in this case the shelving uprights \u2014 as landmarks. Next, the map-based localization approach leverages 3D LIDAR to enable 3D feature-to-landmark matching which minimizes the potential for data association errors. In our experiments in a representative warehouse environment,  demonstrated a localization accuracy of approximately 2cm without the use of retroreflector targets. Furthermore, 100% of visible landmarks re detected and there re no false positives."}]