A Low-Cost Automatic Indoor Measurement Device with Multisensor Fusion
Chongwen Xu et al.
Abstract
Indoor measurement has always been an important process of indoor acceptance, such as the measurement of room structure (depth, bay, height, and wall flatness). Traditionally, these quality assessments rely on manual labor, which is highly subjective and variable. Consequently, automated devices such as terrestrial laser scanners (TLS) have been increasingly adopted for this task, but they cannot be widely used in indoor measurement due to limitations such as high price, poor interpretability, and single sensor. This paper presents a novel low-cost multisensor-based indoor measurement device to compensate for these shortcomings. This research includes: (1) unique mechanical design that transforms sensor information into sparse 3D point cloud data (PCD); (2) plane segmentation based on sparse point cloud; and (3) window opening measurement based on edge detection in dynamic background and monocular camera self-calibration. The reliability of this device was verified through experiments, and the results demonstrated that the device can realize high-precision indoor measurements in less than 5 min for one room.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.