- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS) - Wuhan (2018.3.22-2018.3.23)] 2018 Ubiquitous Positioning, Indoor Navigation and Location-Based Services (UPINLBS) - Image Processing Based Indoor Localization System for Assisting Visually Impaired People
摘要： Indoor localization or indoor positioning system is a known as a process of detecting position of any object or people inside a building or room by different sensory data collected from different devices using different techniques such as radio waves, magnetic fields, acoustic signals or other procedures. However, lacking of a standard localization system is still a very big concern. Solution of this issue can be very beneficial for people in many cases but it can be especially very beneficial for the visually impaired people. In this paper, an image processing based indoor localization system has been developed using OpenCV and Python by following color detection technique to detect position of the user with maximum accuracy and then location of user is determined by analyzing that location matrix. Location accuracy depends on the size of the matrix and successful identification of target color. Firebase real time database was added to the system which made real time operations between server and the user end device easier. To justify the proposed model, successful experiments were conducted in indoor environments as well and correct result was achieved each time by detecting accurate locations. This will be very advantageous to observe the fully or partially sightless people and guide them towards their destination and also to inspect them for their security purpose.
关键词： Color Segmentation,Indoor localization,Image Processing,Indoor positioning system,Wireless communication,Connected object detection
更新于2025-09-23 15:23:52
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Camera localization for augmented reality and indoor positioning: a vision-based 3D feature database approach
摘要： The recent fast development in computer vision and mobile sensor technology such as mobile LiDAR and RGB-D cameras is pushing the boundary of the technology to suit the need of real-life applications in the fields of Augmented Reality (AR), robotics, indoor GIS and self-driving. Camera localization is often a key and enabling technology among these applications. In this paper, we developed a novel camera localization workflow based on a highly accurate 3D prior map optimized by our RGB-D SLAM method in conjunction with a deep learning routine trained using consecutive video frames labeled with high precision camera pose. Furthermore, an AR registration method tightly coupled with a game engine is proposed, which incorporates the proposed localization algorithm and aligns the real Kinetic camera with a virtual camera of the game engine to facilitate AR application development in an integrated manner. The experimental results show that the localization accuracy can achieve an average error of 35 cm based on a fine-tuned prior 3D feature database at 3 cm accuracy compared against the ground-truth 3D LiDAR map. The influence of the localization accuracy on the visual effect of AR overlay is also demonstrated and the alignment of the real and virtual camera streamlines the implementation of AR fire emergency response demo in a Virtual Geographic Environment.
关键词： LiDAR,virtual geographic environment (VGE),localization,indoor positioning,camera pose,Augmented reality (AR),indoor GIS,3D reconstruction
更新于2025-09-23 15:22:29
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Optical Wireless Communication Based Indoor Positioning Algorithms: Performance Optimisation and Mathematical Modelling
摘要： In this paper, the performance of the optimal beam radius indoor positioning (OBRIP) and two-receiver indoor positioning (TRIP) algorithms are analysed by varying system parameters in the presence of an indoor optical wireless channel modelled in line of sight configuration. From all the conducted simulations, the minimum average error value obtained for TRIP is 0.61 m against 0.81 m obtained for OBRIP for room dimensions of 10 m × 10 m × 3 m. In addition, for each simulated condition, TRIP, which uses two receivers, outperforms OBRIP and reduces position estimation error up to 30%. To get a better understanding of error in position estimation for different combinations of beam radius and separation between light emitting diodes, the 90th percentile error is determined using a cumulative distribution frequency (CDF) plot, which gives an error value of 0.94 m for TRIP as compared to 1.20 m obtained for OBRIP. Both algorithms also prove to be robust towards change in receiver tilting angle, thus providing flexibility in the selection of the parameters to adapt to any indoor environment. In addition, in this paper, a mathematical model based on the concept of raw moments is used to confirm the findings of the simulation results for the proposed algorithms. Using this mathematical model, closed-form expressions are derived for standard deviation of uniformly distributed points in an optical wireless communication based indoor positioning system with circular and rectangular beam shapes.
关键词： position estimation,channel modelling,raw moments,optical wireless communication,indoor positioning system,cumulative distribution frequency,standard deviation
更新于2025-09-23 15:22:29
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[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Remote Vital Sign Recognition through Machine Learning augmented UWB
摘要： This paper describes an experimental demonstration of machine learning (ML) techniques supplementing radar to distinguish and detect vital signs of users in a domestic environment. This work augments an intelligent location awareness system previously proposed by the authors. That research employed Ultra-Wide Band (UWB) radar complemented by supervised machine learning techniques to remotely identify a person’s room location via ?oor plan training and time stamp correlations. Here, the remote breathing and heartbeat signals are analyzed through Short Term Fourier Transformation (STFT) to determine the Micro-Doppler signature of those vital signs in different room locations. Then, Multi-Class Support Vector Machine (MC-SVM) is implemented to train the system to intelligently distinguish between vital signs during different activities. Statistical analysis of the experimental results supports the proposed algorithm. This work could be used to further understand, for example, how active older people are by engaging in typical domestic activities.
关键词： Short Term Fourier Transform (STFT),Breathing,Ultra-Wide Band (UWB),Multi-Class Support Vector Machine (MC-SVM),Heartbeat,Indoor Positioning System (IPS)
更新于2025-09-23 15:22:29
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[IEEE 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Nantes, France (2018.9.24-2018.9.27)] 2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Bluetooth-Based Indoor Positioning Through ToF and RSSI Data Fusion
摘要： After several decades of both market and scientific interest, indoor positioning is still a hot and not completely solved topic, fostered by the advancement of technology, pervasive market penetration of mobile devices and novel communication standards. In this work, we propose a two-step model-based indoor positioning algorithm based on Bluetooth Low-Energy, a pervasive and energy efficient standard protocol. In the first (i.e. ranging) step a Kalman Filter (KF) performs the fusion of both RSSI and Time-of-Flight measurement data. Thus, we demonstrate the benefit of not relying only on RSSI, comparing ranging performed with or without the help of ToF. In the second (i.e. positioning) step, the distance estimates from multiple anchors are combined into a quadratic cost function, which is minimized to determine the coordinates of the target node in a planar reference frame. The proposed solution is tailored to reduce the computational effort and target real-time execution on an embedded platform, demonstrating a limited loss of performance. The paper presents an experimental setup and discusses meaningful results, demonstrating a robust BLE-based indoor positioning solution for embedded systems.
关键词： Time-of-Flight (ToF),Bluetooth Low Energy,Indoor positioning,data fusion,Kalman filter
更新于2025-09-23 15:21:21
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Quantitative optical assessment of electronic and photonic properties
摘要： In this paper, a discrete version of weighted centroid localization algorithm (dWCL) is proposed for a wireless-sensor-network-based indoor positioning system. Under this architecture, a wireless device can estimate its own position based on the location information of connected wireless sensor nodes in the network. Unlike other weighted centroid localization algorithms, dWCL classifies the sensor nodes into a number of groups and assigns them weights taken from a set of discrete values. With the weighting function and the range information decoupled, the dWCL framework is flexible to adjust its performance in accordance with the requirements. Its capability to generalize some existing weighted centroid localization algorithms is also demonstrated. In addition, the performance of dWCL is characterized by the error distribution in terms of accuracy and precision. Further enhancement is achieved by optimizing the system parameters. Finally, the simulation results are presented to validate the proposed scheme and analytical framework.
关键词： optimization,indoor positioning systems,Weighted centroid localization,wireless sensor network,error analysis
更新于2025-09-23 15:19:57
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Handbook of Position Location (Theory, Practice, and Advances, Second Edition) || Visible Light-Based Communication and Localization
摘要： Solid-State device light-emitting diodes (LEDs) are rapidly being embedded in different commonly used devices, as are photodiodes and image sensors. Furthermore, illumination using LED reduces power consumption and motivates decorative illumination design. Because LED-based light sources are widely available, there are several options for visible light communication and positioning systems. This chapter provides an overview of the technologies that have paved the way for visible light communication and positioning systems.
关键词： photodiode,VLC,indoor positioning,VLP,visible light positioning,image sensor,LED,visible light communication
更新于2025-09-19 17:15:36
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[IEEE 2019 IEEE International Conference on Computation, Communication and Engineering (ICCCE) - Fujian P.R, China (2019.11.8-2019.11.10)] 2019 IEEE International Conference on Computation, Communication and Engineering (ICCCE) - Indoor Parking Navigation System Using Visible LED Light Communication
摘要： In recent years, visible light communication technology has been widely used in indoor positioning since GPS navigation often cannot work normally indoor and it is difficult for car owners to find a parking space. The use of LED light source for address coding can realize indoor positioning navigation. According to the actual situation of the indoor parking lot, the sensor, Zigbee infrared communication are comprehensively utilized to realize the intelligent positioning navigation function. The reliability of the system has been verified by the parking lot model: the infrared sensor can detect the parking space information in real time; then, the server sends the information to the LED lighting fixture through Zigbee communication; next, the lighting fixture modulates the address and parking space information into the LED light through OOK code; last, the receiver receives the LED light through the PIN photoelectric sensor, and after decoding, the information is sent to the client through the Bluetooth and the client uses the received information to realize the positioning navigation.
关键词： visible light communication,LED,indoor positioning
更新于2025-09-19 17:13:59
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[IEEE 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Pisa, Italy (2019.9.30-2019.10.3)] 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN) - Indoor Positioning System Based on LED lighting and PSD Sensor
摘要： This paper shows a system and a method for indoor positioning based on the LED lighting installed on the environment. The proposal is based on the modulation of the visible light signal emitted in frequencies ranging from 50 to 200 kHz and detection by means of a PSD (Position Sensitive Detector) photodiode. The paper describes the mathematical modelisation of the proposed Indoor Positioning System (IPS), considering that the detector will move on a planar surface. Several synthetic results are shown for distances of 1 and 3 meters between the light source and detector. The positioning technique is based on the angle of arrival (AoA) captured from the LED lighting. Using genetic algorithm, we have obtained the model parameters for the detector (composed of a PSD and coupled lens). Different experimental tests have been carried out to determine the precision in positioning with the proposed system, considering a ceil lighting at 3 meters distance, with a coverage surface area of 3x3 m2. The average error results in the positioning of the detector, with low multipath (MP) effect, are below 1 cm in 80% of the tested points. Considering the presence of strong effects of multipath signals, the maximum positioning error remains below 4.5 cm.
关键词： Visible light positioning - VLP-,Indoor positioning,Positioning sensor device -PSD-,Angle of Arrival -AoA-
更新于2025-09-12 10:27:22
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Indoor Visible Light High Precision Three-Dimensional Positioning Algorithm Based on Single LED Lamp
摘要： With the rapid development of information technology, there is a growing demand for indoor location services.This paper proposes a novel high-precision three-dimensional positioning algorithm for single light emitting diode (LED). By using three tilted photodetectors (PD)and one horizontal PD as receivers.Calculating the ratio of received optical power of the three tilted PDs to the horizontal PD respectively. According to the relationship of position between the PDs and the tilt angle, azimuth angle, placement angle of the tilted PD and other parameters, establish a mathematical relationship between the received optical power ratio and the receiver's three-dimensional coordinates, calculate the three-dimensional coordinates of the receiver at any position. The simulation results show that in the positioning area of 1×1×1.5m3, when the inclination angle α is 25°, the azimuth angle difference θ is 90°, the placement angle ω1=0°, ω2=90°, ω3=180°, the distance r between the horizontal PD center and the tilted PD center is 1 cm, the positioning accuracy is better, the point with the positioning error within 3 cm accounts for 84% of the total test points, and the average positioning error is 2.52 cm. Compared with the traditional indoor positioning technology, the cost of the positioning technology used in this paper is greatly reduced, the positioning accuracy is significantly improved,and can get three-dimensional coordinates.
关键词： Positioning error,Azimuth angle,Visible light indoor positioning(VLP),Receiving optical power
更新于2025-09-11 14:15:04