2D Floor Plan Segmentation Based on Down-sampling

• URL: http://arxiv.org/abs/2303.13798v1
• Date: Fri, 24 Mar 2023 04:39:50 GMT
• Title: 2D Floor Plan Segmentation Based on Down-sampling
• Authors: Mohammadreza Sharif, Kiran Mohan, Sarath Suvarna
• Abstract summary: We propose a novel 2D floor plan segmentation technique based on a down-sampling approach. Our method employs continuous down-sampling on a floor plan to maintain its structural information while reducing its complexity.
• Score: 1.4502611532302039
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In recent years, floor plan segmentation has gained significant attention due to its wide range of applications in floor plan reconstruction and robotics. In this paper, we propose a novel 2D floor plan segmentation technique based on a down-sampling approach. Our method employs continuous down-sampling on a floor plan to maintain its structural information while reducing its complexity. We demonstrate the effectiveness of our approach by presenting results obtained from both cluttered floor plans generated by a vacuum cleaning robot in unknown environments and a benchmark of floor plans. Our technique considerably reduces the computational and implementation complexity of floor plan segmentation, making it more suitable for real-world applications. Additionally, we discuss the appropriate metric for evaluating segmentation results. Overall, our approach yields promising results for 2D floor plan segmentation in cluttered environments.

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