Abstract
Visible Light Positioning (VLP) techniques have attracted considerable attention owing to their cost-effectiveness, high precision, and ubiquitous infrastructure. However, conventional VLP demands supplementary hardware for Light Emitting Diode (LED) modulation, which entails retrofitting existing indoor light systems for positioning applications. Thus, it is costly for wide-scale adoption. Moreover, the built-in Photodiodes (PDs) in smartphones can only provide a limited sampling rate (around 10 Hz), making it challenging to identify LEDs and extract each LED’s light intensity by Frequency Division Multiplexing and Fast Fourier Transform. To alleviate these problems, we develop a novel inertial-aided Unmodulated Visible Light Positioning system (uLiDR) for resource-constrained platforms like smartphones. Firstly, we evaluate the feasibility of unmodulated LED for precise ranging using smartphones. Next, we introduce a selective fusion strategy to mitigate LED occlusion in pedestrian navigation. As slight tilts of the phone are unavoidable during walking, we leverage attitude information calculated by the built-in sensors to handle the phone’s tilt in VLP. Then, we implement the tightly-coupled integration of uVLP and Pedestrian Dead Reckoning (PDR) in an optimization-based framework. The initial location is vital for PDR, and thereby, we proposed an Angle of Arrival (AoA)-based method to provide a precise initial location estimation for PDR. Experimental results show that the proposed uLiDR can achieve precise pedestrian navigation and effectively suppress the error accumulation of PDR.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
