Title :
Location-aware visual radios
Author :
Thang Nguyen ; Youngmin Jeong ; Trinh, Dung ; Hyundong Shin
Abstract :
Location awareness creates a new paradigm for distributing scalable multimedia data over wireless networks, enabling a variety of context-aware applications that require precise location information of network nodes. An emerging concept for robust and accurate network localization is to exploit cooperation and heterogeneous design for harnessing multimodal fusion of sensing measurements to extract location information. This article gives a brief introduction to vision- and radio-based positioning technologies, and then presents illustrative machine-learning methodology to successfully integrate vision information and radio time-of-arrival measurements for cooperative localization of ultra-wideband visual radios in harsh indoor environments.
Keywords :
computer vision; cooperative communication; learning (artificial intelligence); mobile radio; multimedia communication; radionavigation; telecommunication computing; time-of-arrival estimation; context-aware applications; cooperation design; cooperative localization; harsh indoor environments; heterogeneous design; location awareness; location information extraction; location-aware visual radios; machine-learning methodology; multimodal fusion; network localization; network nodes; radio time-of-arrival measurements; radio-based positioning technology; scalable multimedia data distribution; sensing measurements; ultra-wideband visual radios; vision information integration; vision-based positioning technology; wireless networks; Calibration; Cameras; Distance measurement; Green products; Mobile radio mobility management; Visualization; Wireless communication; Wireless sensor networks;
Journal_Title :
Wireless Communications, IEEE
DOI :
10.1109/MWC.2014.6882293