Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization

Konings, Daniel; Parr, Baden; Alam, Fakhrul; Lai, Eseng

doi:10.1109/access.2018.2847314

Cited by 23 publications

(16 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AoA and depth perception 0.13m -0.17m 14W, 8.5cm radius [38] 1-2m AoA and depth perception 0.11m 14W, 10.5cm radius [39] 0.8-1m RSS 0.015m 1W, size unknown [22] 0.5-7m RSS 0.19 -0.39m 8W (Infrared),100W (visible light) [16] 3-5m RSS 0.3 -0.5m 10W, 5mm*5mm [7] 3-3.4m hybrid RSS/AoA 0.07m 10W, 5mm*5mm [24] 0.3-0.7m hybrid RSS/AoA 0.03m 1W, 1cm*1cm [31] 0-5m RSS, hybrid RF/VLP 0.12m Unknown Table 1. Comparison between our positioning system and other single LED VLP systems weak, the measurements of the compass are not reliable.…”

Section: -3mmentioning

confidence: 99%

“…If there are only optical devices in a positioning system, it is hard to ensure high accuracy and large coverage with low costs. However, some positioning systems based on visual-inertial sensor fusion have given some encouraging results [1]- [3], [16], [30], [31]. Our VLP system applies computer vision algorithms to estimate the orientation of the camera and calibrate IMUs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Visual-Inertial Fusion Based Positioning Systems

Zhang

Kane

2020

IEEE Access

View full text Add to dashboard Cite

In this paper, we developed a visible light positioning (VLP) system using a camera and lowcost inertial measurement units (IMUs). Applying computer vision and sensor fusion techniques, our VLP system is able to estimate the angle of arrival (AoA) and the distance from a landmark to a mobile device. Due to the complementary nature between IMUs and cameras, we are able to improve the performance of VLP systems by applying sensor fusion. Currently, most optical positioning systems require at least two line-of-sight (LOS) links, so the coverage is not always satisfactory. Using a single round light-emitting diode (LED) panel or two coplanar black thick rings as the landmark, our VLP system only needs one LOS link to estimate the orientation and position of the mobile device. By activating inertial navigation, our VLP system is able to perform localization even if the landmark is temporarily blocked by obstacles. We derived approximated upper bounds of the angular errors and applied visual-inertial sensor fusion in estimating the Euler angles of the mobile device. Since the weights of sensor fusion are determined by upper bounds, the expected maximum errors are minimized in our positioning system. In our field experiments, the positioning system has an average positioning error of 0.18m with an effective positioning range of 7m. Compared to similar types of positioning systems, our system has significant improvements in positioning range without sacrificing positioning accuracy.

show abstract

Section: -3mmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Visual-Inertial Fusion Based Positioning Systems

Zhang

Kane

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Konings et al carried out data fusion from RF and VLP systems [33]. In the proposed scheme, the authors used a photodiode-based approach for the VLP subsystem, consisting of four different frequencies ranging from 2 kHz to 4 kHz.…”

Section: Photodiode-based Visible Light Positioningmentioning

confidence: 99%

“…Lin et al [9] 5 cm @ 1.2 m OCC Very low Li et al [14] 6 cm @ 0.8 m OCC Very Low Hossar et al [15] 10 cm @ 3 m OCC Low Tanaka et al [42] 5 cm @ 1.95 m OCC Low Chen et al [22] >10 cm @ 1 m VLC Low Chen and Lain [23] 3 cm @ 1 m OCC Low Alam et al [32] 2.2 cm @ 2.4 m Fingerprint High Konings et al [33] 10 cm @ 2.4 m VLC + RF Fingerprint High Proposed scheme sub-cm @ 2.2 m OCC + TDoA Low Proposed scheme with mode sub-cm @ 2.7 m OCC + TDoA Low…”

Section: System Error Technique Complexitymentioning

confidence: 99%

A Novel Ranging Technique Based on Optical Camera Communications and Time Difference of Arrival

Rabadán

Guerra

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In this work, a new Time Difference of Arrival (TDoA) scheme for distance measurement based on Optical Camera Communication (OCC) systems is proposed. It relies on the use of optical pulses instead of radio-frequency signals as the time reference triggers, and the introduction of a rolling shutter camera, whose characteristics allows substituting the timer modules used in conventional TDoA techniques by image processing of the illuminated area in the picture. This processing on the camera’s images provides time measurements and implies and specific analysis, which is presented in this work. The system performance and properties, such as resolution and range, mainly depends on the camera characteristics, such as the frames capture rate and the image quality. This new technique is suitable to be implemented in smartphones or other Commercial Off-The-Shelf (COTS) devices equipped with a camera and speakers.

show abstract

“…In [11], Ye Cai et al proposed a 3-D VLC-based positioning system based on the modified particle swarm optimization (PSO) algorithm and RSS with the average error of 3.9 mm, using only when LEDs' luminous power is extremely stable. In [14], DANIEL KONINGS et al developed a VLP system using Convolutional Neural Networkbased (CNN-based) wireless localization with the mean error 0.12 m. However, the proposed system was only realized in simulation with no experimental verification. The above-mentioned three-dimensional positioning algorithms all achieve a very high positioning accuracy.…”

Section: Introductionmentioning

confidence: 99%

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

Chen

Guan

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Photodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning system using fingerprinting and extreme learning machine (ELM) is proposed to make the system achieve not only high positioning accuracy and elevated anti-interference but also well-behaved real-time ability. In contrast to the positioning system based on K-Nearest Neighbor or Support Vector Machine, the proposed system achieves the highest positioning accuracy and the state-of-the-art positioning speed. Furthermore, the visible light positioning kernel is proposed as a method to reduce the size of the fingerprint database and thus reduce the training time exponentially. Both the simulation and the experiment results show that the proposed system achieves real-time 3-D positioning with high anti-interference. Therefore, this scheme can be considered as one of the effective methods for indoor 3-D positioning. INDEX TERMS Extreme learning machine (ELM), photodiode (PD), positioning fingerprint, real-time positioning, visible light positioning (VLP).

show abstract

Falcon: Fused Application of Light Based Positioning Coupled With Onboard Network Localization

Cited by 23 publications

References 56 publications

Visual-Inertial Fusion Based Positioning Systems

Visual-Inertial Fusion Based Positioning Systems

A Novel Ranging Technique Based on Optical Camera Communications and Time Difference of Arrival

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

Contact Info

Product

Resources

About