ArticleSensors (Basel, Switzerland)2019
An Indoor Positioning Approach Based on Fusion of Cameras and Infrared Sensors.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Hybrid Mode Sensor Fusion for Accurate Robot Positioning.Sensors (Basel, Switzerland) · 2025Review
- Design a novel algorithm for enhancing UWB positioning accuracy in GPS denied environments.Scientific reports · 2024Article
- Capturing Features and Performing Human Detection from Human Gaits Using RFID.Sensors (Basel, Switzerland) · 2022Article
- Magnetic Field Gradient-Based EKF for Velocity Estimation in Indoor Navigation.Sensors (Basel, Switzerland) · 2020Article
- Outdoor Target Positioning Using Wii Remote IR Camera and Signal Modulation.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A method for infrared and cameras sensor fusion, applied to indoor positioning in intelligent spaces, is proposed in this work. The fused position is obtained with a maximum likelihood estimator from infrared and camera independent observations. Specific models are proposed for variance propagation from infrared and camera observations (phase shifts and image respectively) to their respective position estimates and to the final fused estimation. Model simulations are compared with real measurements in a setup designed to validate the system. The difference between theoretical prediction and real measurements is between 0.4 cm (fusion) and 2.5 cm (camera), within a 95% confidence margin. The positioning precision is in the cm level (sub-cm level can be achieved at most tested positions) in a 4 × 3 m locating cell with 5 infrared detectors on the ceiling and one single camera, at distances from target up to 5 m and 7 m respectively. Due to the low cost system design and the results observed, the system is expected to be feasible and scalable to large real spaces.
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Registered trials
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