3D Camera Selection for Obstacle Detection in a Warehouse Environment
Abstract: The increasing demand for online commerce has led to an increasing demand of autonomous vehicles in the logistics sector. The work in this thesis aims to improve the obstacle detection of autonomous forklifts by using 3D sensor technology. Three different products were compared based on a number of criteria. These criteria were provided by Toyota Material Handling, a manufacturer of autonomous forklifts. One of the products was chosen for developing a prototype. The prototype was used to determine if 3D camera technology could provide sufficient obstacle detection in a warehouse environment. The determination was based on the prototype's performance in a series of tests. The tests ranged from human to pallet detection, and were aimed to fulfill all criteria. The advantages and disadvantages of the chosen camera is presented. The conclusion is that the chosen 3D camera cannot provide sufficient obstacle detection due to certain environmental factors.
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