Abstract
Optical camera communication (OCC) exhibits considerable importance nowadays in various indoor camera based services such as smart home and robot-based automation. An android smart phone camera that is mounted on a mobile robot (MR) offers a uniform communication distance when the camera remains at the same level that can reduce the communication error rate. Indoor mobile robot navigation (MRN) is considered to be a promising OCC application in which the white light emitting diodes (LEDs) and an MR camera are used as transmitters and receiver, respectively. Positioning is a key issue in MRN systems in terms of accuracy, data rate, and distance. We propose an indoor navigation and positioning combined algorithm and further evaluate its performance. An android application is developed to support data acquisition from multiple simultaneous transmitter links. Experimentally, we received data from four links which are required to ensure a higher positioning accuracy.
Highlights
Optical wireless communication (OWC) is extensively used to mitigate the data traffic from mobile communications among which the ultraviolet (UV), infrared (IR), or visible light (VL) spectrums are used as the propagation mediums
Optical camera communication (OCC) is becoming a promising technology in terms of localization and navigation because of global positioning system (GPS) using radio frequency (RF) based wireless networks such as wireless fidelity (Wi-Fi), ultra wideband (UWB), Bluetooth, and wireless local area network (WLAN) which are not much accurate location based communication services
These four transmitters are linked continuously and transmit four different locations, which are encoded with the help of a PC and an light emitting diodes (LEDs) driver circuit
Summary
Optical wireless communication (OWC) is extensively used to mitigate the data traffic from mobile communications among which the ultraviolet (UV), infrared (IR), or visible light (VL) spectrums are used as the propagation mediums. There are some localization or navigation services using OCC exhibit an external cloud server to store the mapping data and to compute the position at which the camera is connected to server via Wi-Fi or Bluetooth during location estimation [9]. This approach exhibits a few drawbacks because it requires an external server and an additional RF network, which is expensive and time consuming.
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